Accepted Papers

Papers are sorted by presentation type and title.

Accepted Papers

2025

  1. Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard
    Si-Yang Liu, Qile Zhou, and Han-Jia Ye
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  2. CLEAR: Contextual Logic-based Explanations for Anomaly Reasoning
    Vikash Sharma, Vipul Joshi, Anurag Tripathi, Mayank Jauhari, and Amir Raza
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  3. Towards Benchmarking Foundation Models for Tabular Data With Text
    Martin Mráz, Breenda Das, Anshul Gupta, Lennart Purucker, and Frank Hutter
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  4. Calibration Properties of Time Series Foundation Models
    Coen Adler, Yuxin Chang, Samar Abdi, and Padhraic Smyth
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  5. TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
    Si-Yang Liu, and Han-Jia Ye
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  6. Gateformer: Advancing Multivariate Time Series Forecasting via Temporal and Variate-Wise Attention with Gated Representations
    Yu-Hsiang Lan
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  7. Query, Don’t Train: Privacy-Preserving Tabular Prediction from EHR Data via SQL Queries
    Josefa Lia Stoisser, Marc Boubnovski Martell, Kaspar Märtens, Lawrence Phillips, Stephen Michael Town, Rory Donovan-Maiye, and Julien Fauqueur
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  8. Efficient Table Generation for Zero-Shot Column Type Annotation
    Ehsan Hoseinzade, and Ke Wang
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  9. GATS: A Time-Series Dataset for Addressing General Aviation Flight Safety
    Charles Duong, Aidan LaBella, Pak Iong Long, Nathan DePiero, Aditya Iyer, Elise Carman, Randall Balestriero, and Travis Desell
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  10. Foundation models for time series forecasting and policy evaluation in infectious disease epidemics: a modelling study
    Suprabhath Kalahasti, Benjamin Faucher,  wang, Claudio Ascione, Federico Baldo, and Eugenio Valdano
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  11. State-Space Models for Tabular Prior-Data Fitted Networks
    Felix Koch, Marcel Wever, Fabian Raisch, and Benjamin Tischler
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  12. Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data
    Shlomi Hod, Lucas Rosenblatt, and Julia Stoyanovich
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  13. GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
    Rosen Ting-Ying Yu, Cyril Picard, and Faez Ahmed
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  14. Two-Stage Contrastive Language Electrocardiogram Pre-training for Fine-Grained Waveform Features
    HaitaoLi, Che Liu, Zhengyao Ding, Ziyi Liu, and Zhengxing Huang
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  15. G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
    Xiaojun Guo, Ang Li, Yifei Wang, Stefanie Jegelka, and Yisen Wang
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  16. Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting
    Defu Cao, Zijie Lei, Jiao Sun, and Yan Liu
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  17. Are Time Series Foundation Models Ready for Zero-Shot Forecasting?
    Yunkai Zhang, Qi Zeng, Yawen Zhang, Zhijie Xu, Ming Zheng, Chongyang Gao, Muyan Jiang, and Zeyu Zheng
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  18. Instruction Tuning of Large Language Models for Tabular Data Generation—in One Day
    Milad Abdollahzadeh, Abdul Raheem, Zilong Zhao, Uzair Javaid, Kevin Yee, Nalam Venkata Abhishek, Tram Truong-Huu, and Biplab Sikdar
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  19. Multivariate Calibration is Performative: A Perspective on Pitfalls and Progress
    Sofian Zalouk, Charles Marx, Syrine Belakaria, Christopher De Sa, and Stefano Ermon
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  20. Eliciting Numerical Predictive Distributions of LLMs Without Auto-Regression
    Julianna Piskorz, Kasia Kobalczyk, and Mihaela Schaar
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  21. Toward Scientific Foundation Models for Aquatic Ecosystems
    Abhilash Neog, Medha Sawhney, Kazi Sajeed Mehrab, Sepideh Fatemi, Mary E. Lofton, Amartya Dutta, Aanish Pradhan, Bennett J. McAfee, Emma Marchisin, Robert Ladwig, Arka Daw, Cayelan C. Carey, Paul Hanson, and Anuj Karpatne
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  22. Towards Synthetic Data for Fine-tuning Tabular Foundation Models
    Magnus Bühler, Lennart Purucker, and Frank Hutter
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  23. Self-Imputation and Cross-Variable Learning Improve Water Quality Prediction with Sparse Data
    Xiaofeng Liu, Xiaobo Xia, Xuechen Zhang, Mohna Chakraborty, Xiyuan Chang, Kuai Fang, William S. Currie, and Samet Oymak
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  24. In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks
    Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, and B. Aditya Prakash
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  25. Theoretical Insights into In-context Learning with Unlabeled Data
    Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit Roy-Chowdhury, and Samet Oymak
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  26. Toto: An Open Time Series Foundation Model Optimized for Observability
    Ben Cohen, Emaad Khwaja, Youssef Doubli, Salahidine Lemaachi, Chris Lettieri, Charles Masson, Hugo Miccinilli, Elise Ramé, Qiqi Ren, Afshin Rostamizadeh, Jean Ogier Terrail, Anna-Monica Toon, Kan Wang, Stephan Xie, Zongzhe Xu, Viktoriya Zhukova, David Asker, Ameet Talwalkar, and Othmane Abou-Amal
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  27. Assessing the Robustness of Tabular Prior-Data Fitted Network Classifier
    Ali Nawaz, Amir Ahmad, and Shehroz S. Khan
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  28. TiRex: Zero-Shot Forecasting Across Long and Short Horizons
    Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Böck, Günter Klambauer, and Sepp Hochreiter
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  29. Foundation Models for Clinical Records at Health System Scale
    Haresh Rengaraj Rajamohan, Xiang Gao, Weicheng Zhu, Shih-Lun Huang, Long Chen, Kyunghyun Cho, Cem M Deniz, and Narges Razavian
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  30. Towards Generalizable Multimodal ECG Representation Learning with LLM-extracted Clinical Entities
    Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, and Rossella Arcucci
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  31. W-LSTMix: A Hybrid Modular Forecasting Framework for Trend and Pattern Learning in Short-Term Load Forecasting
    SHIVAM DWIVEDI, Anuj Kumar, Harish Kumar Saravanan, and Pandarasamy Arjunan
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  32. Filter, Augment, Forecast: Online Data Selection for Robust Time Series Forecasting
    Ege Onur Taga, Halil Alperen Gozeten, Kutay Tire, Rahul Dalvi, Reinhard Heckel, and Samet Oymak
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  33. Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting
    Mert Onur Cakiroglu, Idil Bilge Altun, HASAN KURBAN, Elham buxton, and Mehmet Dalkilic
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  34. From Structured Data to Clinical Notes: Robust Clinical Decision Support with Fine-Tuned LLMs
    Frederike Lübeck, Jonas Bernhard Wildberger, Frederik Träuble, Maximilian Mordig, Sergios Gatidis, Andreas Krause, and Bernhard Schölkopf
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  35. Random Initialization Can’t Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting
    Roland Riachi, Kashif Rasul, Arjun Ashok, Prateek Humane, Alexis Roger, Andrew Robert Williams, Yuriy Nevmyvaka, and Irina Rish
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  36. LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
    Berkay Döner, Thorir Mar Ingolfsson, Luca Benini, and Yawei Li
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  37. RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram
    Yuan Xue, Xiaoyu Lu, Yunfei Bai, Hoiyi Ng, and Yunan Liu
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  38. Dual Adaptation of Time-Series Foundation Models for Financial Forecasting
    Fatemeh Chitsaz, and Saman Haratizadeh
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  39. TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation
    Jacob Si, Zijing Ou, Mike Qu, Zhengrui Xiang, and Yingzhen Li
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  40. CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data only
    Shifeng Xie, Vasilii Feofanov, Marius Alonso, Ambroise Odonnat, Jianfeng Zhang, and Ievgen Redko
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  41. Towards Interpretable Time Series Foundation Models
    Matthieu Boileau, Philippe Helluy, Jérémy Pawlus, and Svitlana Vyetrenko
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  42. AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning
    Meiyun Wang, and Charin Polpanumas
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  43. DriMM: Drilling Multimodal Model for Time-Series and Text in the Era of Large Models
    Sebastiaan Buiting, Soumyadipta Sengupta, Abdallah Benzine, Amine EL KHAIR, Imane Khaouja, and Youssef Tamaazousti
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  44. Photoplethysmography, Foundation Models, Hypertension and Diabetes
    George Searle
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  45. ConTextTab: A Semantics-Aware Tabular In-Context Learner
    Marco Spinaci, Marek Polewczyk, Maximilian Schambach, and Sam Thelin
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  46. Rethinking Description Length: A TabPFN-Based Approximation of Bayesian Mixture Codes
    Afiq Abdillah Effiezal Aswadi, Susan Wei, and Ria Jeffrey
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  47. Do Large Foundation Models Improve Time Series Segmentation? An Industrial Case Study in Oil and Gas Drilling
    Imane Khaouja, Amine EL KHAIR, Abdallah Benzine, Sebastiaan Buiting, Soumyadipta Sengupta, and Youssef Tamaazousti
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  48. Do-PFN: In-Context Learning for Causal Effect Estimation
    Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, and Bernhard Schölkopf
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  49. LEAD - Framework for efficient time-series anomaly detection on large scale data using LLMs
    Akash Chandrayan, Amir ZIDI, Matthew Reimherr, Anis Mjirda, and Abhinav Pradhan
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  50. Learning What Matters First: Sequential Adaptation of Time Series Foundation Models for Robust Financial Forecasting
    Fatemeh Chitsaz, and Saman Haratizadeh
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  51. From Tabular to Time Series: Can TabPFN Handle Mixed Data? A Study on PhysioNet
    Zichao Li, Bingyang Wang, and Zong Ke
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  52. Exploring Relational Database Foundation Models from a Graph Perspective
    Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, and Muhan Zhang
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  53. One-Run Privacy Auditing for Structured Generative and Foundation Models
    Rishav Chourasia, Zilong Zhao, and Uzair Javaid
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  54. Lights Out, Tabs On: Advancing Row-Column Encoding for Tabular LLMs
    Yi-Kai Zhang, Huai-Hong Yin, Xin Li, Haoyu Cao, Yinsong Liu, Deqiang Jiang, Xing Sun, De-Chuan Zhan, and Han-Jia Ye
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  55. Early Stopping Tabular In-Context Learning
    Jaris Küken, Lennart Purucker, and Frank Hutter
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  56. Towards a Multi-Modal Foundation Model for Inertial Confinement Fusion: Combining Structured Data and Diagnostic Images
    Michael Jones, and Bogdan Kustowski
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  57. Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
    Vasilii Feofanov, Marius Alonso, Songkang Wen, Romain Ilbert, Hongbo Guo, Malik Tiomoko, Lujia Pan, Jianfeng Zhang, and Ievgen Redko
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  58. FoMo-0D: A Foundation Model for Zero-shot Outlier Detection
    Yuchen Shen, Haomin Wen, and Leman Akoglu
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  59. Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
    Anurag Garg, Muhammad Ali, Noah Hollmann, Lennart Purucker, Samuel Müller, and Frank Hutter
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  60. Soft Contrastive Learning for Irregular Multivariate Time Series
    Junghoon Lim, Seunghan Lee, and Taeyoung Park
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  61. Towards Fair In-Context Learning with Tabular Foundation Models
    Patrik Kenfack, Samira Ebrahimi Kahou, and Ulrich Aı̈vodji
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  62. Causal Foundation Models: Disentangling Physics from Instrument Properties
    Jeroen Audenaert, Daniel Muthukrishna, Paul F. X. Gregory, David W Hogg, and V Ashley Villar
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  63. Explore the Time Series Forecasting Potential of TabPFN Leveraging the Intrinsic Periodicity of Data
    Sibo Cai, Xi Sun, and Hui Zhong
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  64. Simulation-Pretrained Foundation Models for Domain-General Astronomical Time Series Tasks with Minimal Labeled Data
    Rithwik Gupta, and Daniel Muthukrishna
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  65. From Video Classification to Action Detection: Foundation vs. Task-Specific Models
    Goncalo Mesquita, Ana Rita Cóias, Alexandre Bernardino, and Artur Dubrawski
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  66. MORPHEUS : A Foundation Model for Multivariate Time Series Forecasting
    Prathamesh Patil, Amit Varshney, Manoj Cherukumalli, Harsh Deshpande, Leonard Eun, Dushyant Sahoo, and Naren Chittar
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  67. TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction
    Tommy Miao Xu, Zhitian Zhang, Xiangyu Sun, Lauren Kelly Zung, Hossein Hajimirsadeghi, and Greg Mori
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  68. Improving Treatment Effect Estimation with LLM-Based Data Augmentation
    Nicolas Huynh, Julianna Piskorz, Jeroen Berrevoets, Max Ruiz Luyten, and Mihaela Schaar
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  69. TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
    Ron Shapira Weber, Shahar Benishay, Andrey Lavrinenko, Shahaf E. Finder, and Oren Freifeld
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025
  70. LLM Agents Struggle at Time Series Machine Learning Engineering
    Yifu Cai, Xinyu Li, Mononito Goswami, Michał Wiliński, Gus Welter, and Artur Dubrawski
    In 1st ICML Workshop on Foundation Models for Structured Data, 2025