Accepted Papers

Papers are sorted by presentation type and title.

Spotlight Orals

2026

  1. Bounded Context Management for Tabular Foundation Models on Stream Learning
    Jinmo Lee, Doyun Choi, Moongi Choi, and Jaemin Yoo
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  2. Dataset Inference for Data Provenance and Privacy Auditing in Tabular Foundation Models
    Dariush Wahdany, Jesse C. Cresswell, Naiqing Guan, Atiyeh Ashari Ghomi, Franziska Boenisch, and Adam Dziedzic
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  3. Foundations without Fundamentals: Zero-Shot Blind Spots in Time Series FMs
    Nafiseh Ghoroghchian, Haipeng Zhang, Shuyi Han, Alex Labach, and George Stein
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  4. HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series
    Jonas Petersen, Gian-Alessandro Lombardi, Riccardo Maggioni, Camilla Mazzoleni, Federico Martelli, and Philipp Christian Petersen
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  5. Images as Tables: In-Context Learning with TabPFN for Low-Data Detection of AI-Generated Images
    Jan Philip Walter, Shashank Agnihotri, and Margret Keuper
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  6. Latent Instructions as Context Surrogates: Enhancing Frozen Time Series Forecasters with Instance-Adaptive Prompts
    Zehao Xiao, Shifeng Xie, Lei Zan, Malik Tiomoko, Jianfeng Zhang, Lujia Pan, Keli Zhang, and Ievgen Redko
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  7. SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference
    Shi-ang Qi, Vahid Balazadeh, Michael Cooper, Russell Greiner, and Rahul G Krishnan
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  8. Training Fair Tabular Foundation Models
    Patrik Kenfack, Jesse C. Cresswell, Anthony L. Caterini, Samira Ebrahimi Kahou, and Ulrich Aïvodji
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview

Posters

2026

  1. A Causal DAG Prior for Synthetic Time-Series Classification Datasets
    Franco Martino O’Rourke, Ana Trisovic, and Dimitris Bertsimas
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  2. A Causal Foundation Model for Structure and Outcome Prediction
    Max Zhu, Martino Mansoldo, Ching-Hao Wang, and Stefan Groha
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  3. A Foundation Model Approach to Particle Accelerator Operational Data
    Mahindra Singh Rautela, and Alexander Scheinker
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  4. A Generative Foundation Model for Heterogeneous Tabular Data
    Xiangjian Jiang, Mingxuan Liu, Nikola Simidjievski, Tassilo Klein, and Mateja Jamnik
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  5. A Multi-Agent Pipeline for Source-Grounded Synthetic Note Generation from Longitudinal Structured EHR
    Nina Fatehi, Reihaneh Hassanzadeh, Meysam Ghaffari, Animesh Agarwal, and Carlos Morato
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  6. AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting
    Rui Wang, Renhao Xue, Ray Razi, Huan Song, and Hannah R Marlowe
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  7. APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
    Swadhin Pradhan, Niloo Bahadori, and Peiman Amini
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  8. Adapt the Data, Not the Model: Input-Space Adaptation for Frozen Time-Series Predictors
    Omer Gotfrid, Dvir Aran, Barak Gahtan, and Alex M. Bronstein
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  9. Agentic Data Intelligence for General Tabular Modeling
    Jun-Peng Jiang, An-Yang Ji, Jia-Yi Zhu, and Han-Jia Ye
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  10. Are Tabular Foundation Model Rankings Reliable? A Generalizability Theory Analysis of RelBench and DBInfer
    Dinesh Katupputhur Ramprasath, Tom Palczewski, Joe Meyer, Roshan Reddy Upendra, and Minghua Li
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  11. Are Time Series Foundation Models Ready for Oil and Gas Drilling Anomaly Detection?
    Soumyadipta Sengupta, Abdallah Benzine, Sebastiaan Buiting, and Ankush Mishra
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  12. AtmoBench: A Large-Scale Multi-Region Benchmark for Air Quality Forecasting with Time Series Foundation Models
    Rishi Bharadwaj, Manik Gupta, and Pandarasamy Arjunan
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  13. Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice
    Yingshuo Wang, Xian Sun, Yanhang Li, Zhichao Fan, and Zexin Zhuang
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  14. BALMS: Benchmarking Agentic LLMs for Mental Health Sensing
    Yu Yvonne Wu, Arvind Pillai, Yuliang Chen, Sudarshan Regmi, Tess Z Griffin, Michael V. Heinz, Lisa Marsch, Nicholas C. Jacobson, and Andrew Campbell
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  15. Bayesian Tabular Few-shot Learning with Causal Information
    Ole Ossen, Jake Robertson, Arik Reuter, Magnus Bühler, Lennart Purucker, and Frank Hutter
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  16. Behavioral Proxy Conditioning for Financial Stress Scenario Generation with a Pretrained Diffusion Model
    Elena Kuular, and Junsuk Choe
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  17. Benchmarking Attention for Tabular Foundation Models
    Maximilian Schambach, Clemens Biehl, and Sam Thelin
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  18. Benchmarking Multimodal Clinical Foundation Models to Reveal Significant Demographic Disparities
    Milan Mohan, Saketh Lingisetty, Umar Ahmad, Avi Kumar, Shankar Harikrishnan, Sanjana Chamarty, and Kevin Zhu
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  19. Benchmarking Tabular Foundation Models for Churn Prediction
    Sobhan Seyedzadeh, and Mostafa Karimi
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  20. Benchmarking Time Series Foundation Models for Electricity Price Forecasting
    Zhenghua Pan, and Ahmed Aziz Ezzat
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  21. Beyond Accuracy: Toward Trustworthy Tabular Foundation Models in Industrial Applications
    Johannes Keler, Matthias Woehrle, Jan Achterhold, Mark Schillinger, Maria Lyssenko, and Luiz Ricardo Douat
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  22. Beyond Average Leaderboards: When Explicit Graph Priors Help Tabular Foundation Models
    Franck Le, Keith Grueneberg, Erich M Nahum, and Vadim Sheinin
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  23. Beyond Task-Specific Classifiers: In-Context Inference for Time Series Classification Foundation Models
    Juntao Fang, Shifeng Xie, Shengbin Nie, Yuhui Ling, Yuming Liu, Zijian Li, Keli Zhang, Lujia Pan, Themis Palpanas, and Ruichu Cai
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  24. Biological Hallucinations in Time-Series Foundation Models: A Benchmark on High-Frequency Neural Waveforms
    Calvin H. Cho
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  25. Bootstrap-Conditioned Action Selection with Tabular Foundation Models
    Devansh Gupta, Shiv Kumar Tavker, Suchitra Sathyanarayana, Dmitry Efimov, Gitanjali Bhutani, and Boris N. Oreshkin
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  26. Can LLMs Use Relational Transformer Embeddings?
    Francisco Galuppo Azevedo, and Clarissa Lima Loures
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  27. Can Tabular Foundation Models Predict Algorithm Runtime Distributions?
    Hagverdi Ibrahimli, and Steven Adriaensen
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  28. Causal Foundation Models Perform Better without Post-treatment Variables
    Junha Ham, Deokgyu Kim, Doeun Kim, Serjin Kim, and Sanghack Lee
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  29. Causal Foundation Models for Time Series based on Prior-Data fitted Networks
    Dennis Thumm, Arik Reuter, Jake Robertson, Shi Bin Hoo, Adrian Weller, Frank Hutter, Ying Chen, and Bernhard Schölkopf
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  30. Causal Foundation Models with Continuous Treatments
    Christopher Stith, Medha Barath, Vahid Balazadeh, Jesse C. Cresswell, and Rahul G Krishnan
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  31. CausalTab: Pretraining Across Causal Environments for Tabular Causal Discovery
    Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang, and Han-Jia Ye
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  32. Context Window Failures in Relational Foundation Models
    Denis Oliveira Correa, and Francisco Galuppo Azevedo
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  33. Context-Aware Learning Curve Extrapolation with Prior-Data Fitted Networks
    Cheng Yan, Steven Adriaensen, and Tom Julian Viering
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  34. Correcting Class Imbalance in Prior-Data Fitted Networks for Tabular Classification
    Samuel McDowell, Nathan Stromberg, and Lalitha Sankar
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  35. Covariance-Aware Transformers for Quadratic Programming and Decision Making
    Kutay Tire, Yufan Zhang, Ege Onur Taga, and Samet Oymak
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  36. DataSynK: Causal-Symbolic EHR Synthesis for Tabular Foundation Models in Low-Resource Settings
    Eduarda T. C. Chagas, Roberta Viola, Juarez Monteiro, Francisco Galuppo Azevedo, Saulo Fernandes Saturnino, and Adriano Veloso
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  37. Do Tabular Foundation Models Learn Rules or Memorize Exemplars?
    Amir Rezaei Balef, Mykhailo Koshil, Behzad Nourani-Koliji, and Katharina Eggensperger
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  38. Dr-CiK: A Testbed for Foresight-Driven Agents
    Yihong Tang, Andrew Robert Williams, Arjun Ashok, Vincent Zheng, Lijun Sun, Alexandre Drouin, Issam H. Laradji, Étienne Marcotte, and Valentina Zantedeschi
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  39. Emergent Temporal Reasoning: Distilling Chain-of-Thought for Zero-Shot Combinatorial Generalization
    Jérémy Pawlus, Philippe Helluy, and Svitlana Vyetrenko
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  40. Enhancing Tabular Learners with Context-Aware Semantic Embeddings
    Günther Schindler, Maximilian Schambach, and Johannes Höhne
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  41. Ensembling Tabular Foundation Models: A Diversity Ceiling and a Calibration Trap
    Aditya Tanna, Yash Jignesh Desai, Pratinav Seth, Mohamed Bouadi, Nassim Bouarour, and Vinay Sankarapu
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  42. Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights
    Haoxin Liu, Zhiyuan Zhao, Shiduo Li, and B. Aditya Prakash
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  43. EveryQuery: Zero-Shot Clinical Prediction via Task-Conditioned Pretraining
    Payal Chandak, Gregory Kondas, Isaac S. Kohane, and Matthew B.A. McDermott
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  44. Evolutionary Feature Engineering for Structured Data
    Ege Onur Taga, Yilin Zhuang, Muhammed Emrullah Ildiz, Petros Mol, Abhimanyu Das, Karthik Duraisamy, and Samet Oymak
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  45. Exploring Differences Between Tabular Enterprise Data and Public Benchmarks
    Myung Jun Kim, Maximilian Schambach, Frank Essenberger, Andre Sres, and Johannes Höhne
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  46. FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
    Karim Othman, Jonas Petersen, Matei C. Ignuta-Ciuncanu, Camilla Mazzoleni, Federico Martelli, Gian-Alessandro Lombardi, Riccardo Maggioni, and Philipp Christian Petersen
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  47. FairOpt-PFN: Amortized Counterfactual Fairness with Optimal Fair Targets
    Enes Hasani, Jake Robertson, and Frank Hutter
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  48. Feature Space Translation Framework for Cross-Device Alignment and Derivation of Clinically Relevant Retinal Biomarkers from Foundation Model Embeddings
    Sparsh Rastogi, Akshat Bakshi, Jidugu Sriharisesh, Imran Razzak, Jatin Bedi, and Sahil Thakur
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  49. FlexTab: Towards a Flexible Encoder-Decoder Architecture for Tabular In-Context Learning
    Marek Polewczyk, Maximilian Schambach, Marco Spinaci, Sam Thelin, and Johannes Höhne
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  50. Forecasting Food Inflation in Real Time with Tabular Foundation Models
    Mason Linsky
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  51. Foundation Models for Partial Causal Identification
    Alexis Bellot, and Anish Dhir
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  52. Foundation Models for Sparse, Multi-Relational Risk Prediction in Global Supply Chains
    Ruohong Li, George Pu, James Nordlund, and Prasanth Meiyappan
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  53. From Noisy Oracles to Useful Constraints: LLM-Guided Constraint Selection for Synthetic Tabular Data
    Tejumade Afonja, Joscha Cüppers, and Mario Fritz
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  54. From Time-Series to Text: Multimodal and Agentic Approaches for Automated Drilling Report Generation
    Ankush Mishra, Sebastiaan Buiting, Soumyadipta Sengupta, and Abdallah Benzine
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  55. Frozen LLM Column Embeddings Are Strong Baselines for Column Type Annotation
    Ehsan Hoseinzade, and Ke Wang
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  56. GITCO: Gated Inference-Time Context Optimization in TSFMs
    Manya Pandey, Dhruv Kumar, Murari Mandal, and Saurabh Deshpande
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  57. Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
    Chenghan Wu, Zongmin Yu, Boai Sun, and Liu Yang
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  58. Grounded Time-Series Anomaly Detection with Compact Multimodal Models and Preference Optimization
    Werner Laemlin, and Svitlana Vyetrenko
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  59. HGR-TabE: Universal Tabular Embeddings via Maximal Correlation Alignment
    Niharika S. D’Souza, Liane Vogel, Kavitha Srinivas, Sola Shirai, Oktie Hassanzadeh, and Horst Samulowitz
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  60. HICL-TBI: Hyperbolic In-Context Learning for Traumatic Brain Injury Outcome Prediction
    Thai Khanh Nguyen, and Thanh-Hai Tran
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  61. Hierarchical Synthetic Tabular Data Generation: A Hybrid Top-Down and Bottom-Up Framework
    Junfeng Nie, Alvin Jin, and Xiaohui Chen
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  62. Impact-Driven Event Covariates for Time-Series Foundation Models
    Elham Alipour,  zhang, and Boyang Tom Jin
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  63. Implicit Reward Alignment For Training Causally-Coherent Tabular Data Generators
    Matea Gjika, Giuseppe Iannone, Luca Sfragara, Pavithra Harsha, and Georgia Perakis
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  64. In-Context Learning Under Regime Change
    Carson Dudley, Xiaofeng Liu, Samet Oymak, and Yutong Bi
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  65. Inducing Causal Order through Tabular In-Context Learning
    Sascha Xu, Sarah Mameche, and Jilles Vreeken
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  66. Inspectable Tabular Foundation Models via In-Context Kernel Learning
    Ratmir Miftachov, Bruno Charron, and Simon Valentin
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  67. LLM-Guided Hard Negative Mining for Structured Product Data Matching
    Manoj Chandrashekar Rao, Mohammed Abraar, Raj Dandekar, Prathamesh Dinesh Joshi, Rajat Dandekar, and Sreedath Panat
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  68. Language Pretraining Gives Structured Forecasters a Sequential Prior
    Zhenghan Tai, Alexis Roger, Prateek Humane, Gwen Legate, Andrei Mircea, Vasilii Feofanov, and Irina Rish
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  69. Large-Scale Pretraining unlocks Few-Shot Prediction for Relational Data
    Rishabh Ranjan, Vignesh Kothapalli, Harshvardhan Agarwal, Charilaos I. Kanatsoulis, Roshan Reddy Upendra, Tom Palczewski, Carlos Guestrin, and Jure Leskovec
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  70. Latent Chain-of-Thought Improves Structured-Data Transformers
    Carson Dudley, and Samet Oymak
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  71. Learned Sequence Representations over Raw Credit Events for Credit-Abuse Scoring
    Tianming Zhou, Jiarui Xu, Nitesh Kumar, and Alexander Statnikov
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  72. Learning to Cool: State Space Models for Smarter Automobile AC Systems
    Forrest Felsch, Sam Mikhak, and Taehyung Wang
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  73. Localized TabICLv2: Scaling Tabular In-Context Learning through k-NN
    Beimnet Bekele Guta
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  74. Lookahead Automated Feature Engineering for Tabular Prediction via Kaggle-Guided Knowledge Transfer
    Si-Yang Liu, Zong-Da Li, Chenming Xu, Han Li, Rui-Qiao Chen, and Han-Jia Ye
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  75. Lost in Aggregation: How Benchmarks Overlook Irreplaceable Model Strengths
    Andrej Tschalzev, Stefan Lüdtke, Heiner Stuckenschmidt, and Christian Bartelt
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  76. MEG-GPT-2: A Generative Foundation Model for MEG with Structured Neural Representations
    SungJun Cho, Chetan Gohil, Oiwi Parker Jones, and Mark Woolrich
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  77. Memory Efficient Tabular Foundation Models
    Shuting Luo, Monika Mikhail Kanaan, Cameron Gordon, Anna Leontjeva, and Simon Lucey
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  78. Mix, Don’t Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining
    Aaryan Nagpal, Debdeep Sanyal, Dhruv Kumar, Murari Mandal, and Saurabh Deshpande
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  79. MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
    Alan Arazi, Eilam Shapira, Shoham Grunblat, Mor Ventura, Elad Hoffer, Gioia Blayer, David Holzmüller, Lennart Purucker, Gaël Varoquaux, Frank Hutter, and Roi Reichart
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  80. Multi-Task Multimodal Fusion with Tabular Foundation Models for Pertussis Booster Response Prediction
    Divya Sitani
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  81. Multimodal Structured Foundation Models for Noisy Documents: A 110M Encoder Where Structure Matches Scale on Clinical Key–Value Generation
    Yingyun Li, and Haiyang Qian
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  82. Mutual Information-Guided Corruption for Improved Self-Supervised Representation Learning in Tabular Data
    Michael Lawson, Emerald Sy, Kehui Zhang, Raymond H. Chan, Kannie W. Y. Chan, and Rosa H. M. Chan
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  83. Next-Token Prediction Enables Scalable Learning of Sleep Physiology
    Jonathan F. Carter
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  84. Nonlinear RNNs as a Compute Shortcut for Time Series Foundation Models
    Levente Zólyomi, David Stap, Sebastian Böck, Günter Klambauer, and Sepp Hochreiter
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  85. Objective and data-driven Bayesian inference using TabPFN models
    Elias Chaibub Neto
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  86. On the Application of Time-Series Foundation Models for Detecting Long-Context Anomalies in Industrial Control Systems
    Alexa Lowe, Clement Fung, and Lujo Bauer
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  87. On the Uncertainty in Prior-Data Fitted Network Pretraining
    Manuel Hülskamp, Julius Kobialka, Emanuel Sommer, and David Rügamer
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  88. Online Test-Time Adaptation in Tabular Data with Minimal High-Certainty Samples
    Mingming Zhang, Zhiqing Xiao, and Junbo Zhao
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  89. OphthaDT: Generative Digital Twins for Forecasting Visual Acuity Trajectories in Ophthalmology
    Pietro Belligoli, Nikita Makarov, Sayedali Shetab Boushehri, Fabian Schmich, Raul Rodriguez-Esteban, and Michael Patrick Menden
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  90. Optimizing Pre-Training of Tabular Foundation Models by Shaping Geometry
    Humzah Merchant, Sriniketh Vangaru, and Randall Balestriero
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  91. PRAGMA: A Foundation Model for Banking Event Sequences
    Maxim Ostroukhov, Ruslan Mikhailov, Vladimir Iashin, Artem Sokolov, Andrei Akshonov, Vitaly Protasov, Dmitrii Beloborodov, Vince Mullin, Roman Enzmann, Georgios Kolovos, Jason Renders, Pavel Nesterov, and Anton Repushko
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  92. Parameter-Free Encoders Remain Viable for RDB Foundation Models
    Linjie Xu, and David Wipf
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  93. PerturbPFN: Probing the Limits of Synthetic Priors in Perturbation Modelling
    Yuche Gao, José Miguel Hernández-Lobato, and Siyuan Guo
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  94. PluRel-to-RDB-PFN: Schema-Guided Synthetic Relational Pretraining
    Mohammad Sadeq Abolhasani, and Viswanath Ganapathy
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  95. Pocket Foundation Models: Distilling TFMs into CPU-Ready GBDTs
    Aditya Tanna, Nassim Bouarour, Mohamed Bouadi, Vinay Sankarapu, and Pratinav Seth
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  96. Polynomial Input Preconditioning for Zero-Shot Time Series Forecasting
    Jerry Han, Alex Kawaja, Benjamin Cole, and Elad Hazan
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  97. Probing Clinical Concepts in an EHR Foundation Model via Sparse Autoencoders
    Shashank Yadav, David M. Routman, and Andrew Y. K. Foong
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  98. Probing Memorization of Tabular In-Context Learning
    Francesco Capano, and Jonas Böhler
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  99. RAD-TFM: Robust and Domain-Adapted Tabular Foundation Models
    Matthew Peroni, Franck Le, and Vadim Sheinin
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  100. ReGeN: Reference-Guided Synthetic Multivariate Time Series Generation for Forecasting
    Moulik Gupta, Aaditya Jain, Dhruv Kumar, Murari Mandal, and Saurabh Deshpande
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  101. Realistic Evaluation of TabPFN v2.5 in Open Environments
    Zi-Jian Cheng, Ziyi Jia, and Lan-Zhe Guo
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  102. Recall Residualisation: Decontaminating Foundation-Model Evaluation on Public Time-Series Benchmarks
    Anany Kotawala
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  103. Retrieval-Augmented Foundation Model Enhances Risk Prediction Using Electronic Health Records
    Saeed Shurrab, Mariam Al-Omari, Dana El Samad, and Farah E. Shamout
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  104. Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
    Xinghong Fu, Yanhong Li, GEORGIOS PAPAIOANNOU, and Yoon Kim
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  105. Revisiting Metafeatures to Explain Model Differences on Tabular Data
    Markus Herre, Andrej Tschalzev, Sascha Marton, and Christian Bartelt
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  106. SCBench: A Testbed for Causal Inference with Time Series Panel Data
    Megan Richards, Saeyoung Rho, and Kyunghyun Cho
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  107. SOHET: Sequence Of Heterogeneous Events Transformer with Self-Supervised Pre-Training
    Kees Jan Vries, Mustafa Radha, and Mathijs Jong
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  108. Semantics or Structure? Auditing Text Sensitivity in Multimodal Time-Series Forecasting
    Karthik Sridhar, Atharva Gupta, Nishant Pradhan, Murari Mandal, Dhruv Kumar, and Saurabh Deshpande
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  109. Should LLMs Explain Every Time-Series Alert? A Reliability-Routed Audit for Structured Data Monitoring
    WANG Yibo, Shuai Wang, Zhang Ting, Huang Runqing, Tsin Hei Koo, and Zhiqiang Cao
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  110. Signature-Kernel Based Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting
    Benjamin R Redhead, Thomas L Lee, Peng Gu, Víctor Elvira, and Amos Storkey
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  111. SimGuard: Context-Aware Anomaly Filtering via Similarity-Guided Error Detection
    Amir Raza, Mayank Jauhari, Vikash Sharma, Vipul Joshi, Boris N. Oreshkin, and Anurag Tripathi
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  112. Speedrunning Tabular Foundation Model Pretraining
    Salih Bora Öztürk, Alexander Pfefferle, and Frank Hutter
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  113. Statistically Indistinguishable, Operationally Distinct: A Formal Barrier for Tabular Foundation Models
    Tassilo Klein, and Johannes Hoffart
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  114. Staying Alive: Uncensored Survival Analysis with Tabular Foundation Models
    Mariana Vargas Vieyra
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  115. Structured Physical Attributes Enable Efficient Foundation Models for Land-Surface Prediction
    Nicholas Kraabel, Jiangtao Liu, Yuchen Bian, Daniel Kifer, and Chaopeng Shen
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  116. SurvPFN: Towards Foundation Models for Survival Predictions
    Samuel Böhm, Lennart Purucker, Frank Hutter, and Pascal Schlosser
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  117. SymboLLM-FE: LLM Accelerated Symbolic Regression for Automated Feature Engineering
    Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yu-Feng Li, and Lan-Zhe Guo
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  118. Synthetic Causal Priors for In-Context Time-Series Classification
    Hao-Run Cai, and Han-Jia Ye
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  119. TARPA: Retrieval Priors for Time-Series Foundation Models on Audience Retention
    Dmitriy Petukhov, Nikolai Kharchevnikov, Leon Useinov, Sviatoslav A. Stumpf, and Valeria Efimova
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  120. TEMPO: Time Series Understanding via Discrete Tokenization
    Riccardo Maggioni
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  121. TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models
    Duong Nguyen, Mohammed Jawhar, and Nicolas CHESNEAU
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  122. TSQueryBench: LLM-as-a-Judge for Time-Series Explanations
    Preetham Sivalingam, Murari Mandal, Dhruv Kumar, and Saurabh Deshpande
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  123. TabDPT-Turbo: Efficient In-Context Learning for Tabular Prediction
    Rasa Hosseinzadeh, Alex Labach, Zexin Xue, Shuyi Han, Valentin Thomas, and Anthony L. Caterini
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  124. TabPATE: Differentially Private Tabular In-Context Learning Without Public Data
    Dariush Wahdany, Matthew Jagielski, Jesse C. Cresswell, Adam Dziedzic, and Franziska Boenisch
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  125. TabPFN-TSRA: Retrieval-Augmented TabPFN for Time-Series Forecasting
    Zijian Tang, Ying Zhang, Zhenjun Liu, Sibo Cai, Shibin Yue, and Meili Zhang
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  126. TableFactory: Generating Semantically Linked Tabular Data via Multi-Agent Behavioral Simulation
    Mingxuan Liu, Xiangjian Jiang, Johannes Hoffart, and Tassilo Klein
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  127. Tabular Foundation Models Are Effectively Shallow
    Irene Cannistraci, and Julia E Vogt
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  128. Temporal Feature Extractors in EEG Foundation Models: A Controlled Comparison Including a Pretrained Time-Series Model
    Ayşe Betül Yüce, Chris Joey Leffler, Sarun Varghese, Myra Spiliopoulou, and Sebastian Stober
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  129. Text-Attention Guided In-Context Forecasting for Multimodal Time Series Prediction
    Yuyan Guo, Mingzhe Zhang, Vishwesh Ramanathan, Maryam Motamedi, Nafiseh Ghoroghchian, Shuyi Han, Alex Labach, Anthony L. Caterini, and Yi Sui
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  130. TiViT: Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
    Simon Roschmann, Quentin Bouniot, Vasilii Feofanov, Ievgen Redko, and Zeynep Akata
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  131. Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting
    Lorenzo Longarini, Alessandro Rongoni, Simone Silenzi, Emanuele Frontoni, and Riccardo Rosati
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  132. Towards Benchmarking Time Series Foundation Models on Native Scientific Data
    Lewis O’Donnell, Arinbjörn Kolbeinsson, Benedikt Kolbeinsson, and Marc Peter Deisenroth
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  133. Towards Continuous-time Causal Foundation Models
    Dennis Thumm, Ruben Wiedemann, and Ying Chen
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  134. Towards Effective LLM Reasoning for Time Series Classification
    Jiahui Zhou, Dan Li, Wenjie Feng, Lin Li, Jian Lou, and See-Kiong Ng
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  135. Towards Evaluating Data Priors for Tabular Foundation Models
    Zeynep Türkmen, Kürşat Kaya, Alexander Pfefferle, and Frank Hutter
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  136. Towards Pretraining Text Encoders for TabPFN
    Mustafa Tajjar, Alexander Pfefferle, Lennart Purucker, and Frank Hutter
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  137. TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure
    Srijan Sood, Maxime Kawawa-Beaudan, Daniel Borrajo, and Manuela Veloso
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  138. VLM-Guided Noisy Label Detection for Structured Network Traffic in Low-Resource IDS
    Yuha Jeon, and Myung-Sun Baek
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  139. What You Pretrain On Matters: Synthetic Task Distributions Determine Tabular Foundation Model Quality
    Mohamed Bouadi, Nassim Bouarour, Shivam Dubey, Varun Kulkarni, Aditya Tanna, and Vinay Sankarapu
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  140. When Data Is Scarce: The Strength of the Prior in Tabular Foundation Models
    Florian D. Leeuwen, and Sara Erp
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  141. When Forecasting Fails: Overcoming Temporal Correlation Shift in Time Series
    Chen Shao, Zhenyi ZHU, and Tobias Käfer
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  142. When Simpler ICL Outperforms Pretrained Tabular Foundation Models for RNA Editing
    Ran Eisenberg, Efraim Rahamim, Erez Levanon, and Ofir Lindenbaum
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview
  143. Where Computation Lives Inside TabPFN: Causal Localisation of Attention Head Function
    Atharva Gupta, Dhruv Kumar, Murari Mandal, and Saurabh Deshpande
    In 2nd ICML Workshop on Foundation Models for Structured Data, 2026
    OpenReview