Polish Researchers at ICLR 2026

A list of papers accepted to ICLR 2026 with authors of Polish origin.

Legend
Bold — Polish author (confirmed) Bold — Polish author (unconfirmed) ML in PL — ML in PL organizer

Orals

  1. Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models Bartłomiej Marek, Lorenzo Rossi, Vincent Hanke, Xun Wang, Michael Backes, Franziska Boenisch, Adam Dziedzic
  2. mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules Carl Edwards, Chi Han, Gawon Lee, Thao Nguyen, Sara Szymkuć, Chetan Kumar Prasad, Bowen Jin, Jiawei Han, Ying Diao, Ge Liu, Hao Peng, Bartosz Andrzej Grzybowski, Martin D. Burke, Heng Ji
  3. Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine Wenyi Wang, Piotr Piękos, Li Nanbo, Firas Laakom, Yimeng Chen, Mateusz Ostaszewski, Mingchen Zhuge, Jürgen Schmidhuber

Posters

  1. DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection Siheng Wang, Yanshu Li, Bohan Hu, Zhengtao Yao, Zhengdao Li, Linshan Li, HaiboZhan, Weiming Liu, Junhao Dong, Ruizhi Qian, Guangxin Wu, Zhang, Jifeng Shen, Piotr Koniusz, Qiang Sun
  2. Topological Flow Matching Kacper Wyrwal, Ismail Ilkan Ceylan, Alexander Tong
  3. Soft Tokens, Hard Truths Natasha Butt, Ariel Kwiatkowski, Ismail Labiad, Julia Kempe, Yann Ollivier
  4. KaVa: Latent Reasoning via Compressed KV-Cache Distillation Anna Kuzina, Maciej Pióro ML in PL organizer, Babak Ehteshami Bejnordi
  5. PatchDNA: A Flexible and Biologically-Informed Alternative to Tokenization for DNA Alice Del Vecchio, Chantriolnt-Andreas Kapourani, Abdullah M Athar, Agnieszka Dobrowolska, Andrew Anighoro, Benjamin Tenmann, Lindsay Edwards, Cristian Regep
  6. Attribution-Guided Decoding Piotr Komorowski ML in PL organizer, Elena Golimblevskaia, Reduan Achtibat, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek
  7. Early Signs of Steganographic Capabilities in Frontier LLMs Artur Zolkowski, Kei Nishimura-Gasparian, Robert McCarthy, Roland S. Zimmermann, David Lindner
  8. Causal Imitation Learning under Expert-Observable and Expert-Unobservable Confounding Daqian Shao, Thomas Kleine Buening, Marta Kwiatkowska
  9. NEO — No-Optimization Test-Time Adaptation through Latent Re-Centering Alexander Murphy, Michal Danilowski, Soumyajit Chatterjee, Abhirup Ghosh
  10. Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning Hongye Xu, Bartosz Krawczyk
  11. MoGen: Detailed Neuronal Morphology Generation via Point Cloud Flow Matching Franz Rieger, Jan-Matthis Lueckmann, Viren Jain, Michal Januszewski
  12. Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration Bruno Kacper Mlodozeniec, Pierre Ablin, Louis Béthune, Dan Busbridge, Michal Klein, Jason Ramapuram, Marco Cuturi
  13. Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection Siyuan Chen, Minghao Guo, Caoliwen Wang, Anka He Chen, Yikun Zhang, Jingjing Chai, Yin Yang, Wojciech Matusik , Peter Yichen Chen
  14. Towards a Theoretical Understanding of In-context Learning: Stability and Non-I.I.D Generalisation Yingjie Wang, Yutian Zhou, Shi Fu, Yuzhu Chen, Yongcheng Jing, Leszek Rutkowski, Dacheng Tao
  15. SelfReflect: Can LLMs Communicate Their Internal Answer Distribution? Michael Kirchhof, Luca Füger, Adam Goliński ML in PL organizer, Eeshan Gunesh Dhekane, Arno Blaas, Seong Joon Oh, Sinead Williamson
  16. What Layers When: Learning to Skip Compute in LLMs with Residual Gates Filipe Laitenberger, Dawid Jan Kopiczko, Cees G. M. Snoek, Yuki M Asano
  17. Error Feedback for Muon and Friends Kaja Gruntkowska, Alexander Gaponov, Zhirayr Tovmasyan, Peter Richtárik
  18. Tighter Performance Theory of FedExProx Wojciech Anyszka, Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik
  19. Optimizer Choice Matters For The Emergence of Neural Collapse Jim Zhao, Tin Sum Cheng, Wojciech Masarczyk, Aurelien Lucchi
  20. Convergence of an actor-critic gradient flow for entropy regularised MDPs in general spaces Denis Zorba, David Siska, Lukasz Szpruch
  21. MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models Kacper Kapuśniak, Cristian Gabellini, Michael M. Bronstein, Prudencio Tossou, Francesco Di Giovanni
  22. On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment Sarah Ball, Grzegorz Gluch, Shafi Goldwasser, Frauke Kreuter, Omer Reingold, Guy N. Rothblum
  23. Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP Lorenz Hufe, Constantin Venhoff, Maximilian Dreyer, Erblina Purelku, Sebastian Lapuschkin, Wojciech Samek
  24. Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents Julia Bazinska, Max Mathys, Francesco Casucci, Mateo Rojas-Carulla, Xander Davies, Alexandra Souly, Niklas Pfister
  25. Protein Structure Tokenization via Geometric Byte Pair Encoding Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik , Marinka Zitnik
  26. Flock: A Knowledge Graph Foundation Model via Learning on Random Walks Jinwoo Kim, Xingyue Huang, Krzysztof Olejniczak, Kyungbin Min, Michael M. Bronstein, Seunghoon Hong, Ismail Ilkan Ceylan
  27. KV-Cache Transform Coding for Compact Storage in LLM Inference Konrad Staniszewski, Adrian Łańcucki
  28. Measuring Uncertainty Calibration Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian, Juan Elenter, Francesco Tonolini, David Gustafsson, Eva Garcia-Martin, Carmen Barcena Gonzalez, Raphaëlle Bertrand-Lalo
  29. LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation Jude Khouja, Lingyi Yang, Simeon Hellsten, Karolina Korgul, Vlad A. Neacșu, Harry Mayne, Ryan Othniel Kearns, Andrew M. Bean, Adam Mahdi
  30. Code World Models for General Game Playing Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin Patrick Murphy
  31. Causality ≠ Invariance: Function and Concept Vectors in LLMs Gustaw Opielka, Hannes Rosenbusch, Claire E Stevenson
  32. Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems Szymon Pawlonka, Mikołaj Małkiński, Jacek Mańdziuk
  33. The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding Christina Sartzetaki, Anne W. Zonneveld, Pablo Oyarzo, Alessandro Thomas Gifford, Radoslaw Martin Cichy, Pascal Mettes, Iris Groen
  34. Circuit Insights: Towards Interpretability Beyond Activations Elena Golimblevskaia, Aakriti Jain, Bruno Puri, Ammar Ibrahim, Wojciech Samek, Sebastian Lapuschkin
  35. The Intricate Dance of Prompt Complexity, Quality, Diversity and Consistency in T2I Models Xiaofeng Zhang, Aaron Courville, Michal Drozdzal, Adriana Romero-Soriano
  36. Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training Jakub Krajewski, Amitis Shidani, Dan Busbridge, Jason Ramapuram, Sam Wiseman
  37. DataMIL: Selecting Data for Robot Imitation Learning with Datamodels Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Mądry, Andrew Ilyas, Roberto Martín-Martín
  38. ProofOptimizer: Training Language Models to Simplify Proofs without Human Demonstrations Alex Gu, Bartosz Piotrowski, Fabian Gloeckle, Kaiyu Yang, Aram H. Markosyan
  39. TimeSeriesExamAgent: Creating TimeSeries Reasoning Benchmarks at Scale Małgorzata Gwiazda, Yifu Cai, Mononito Goswami, Arjun Choudhry, Artur Dubrawski
  40. BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi
  41. A Genetic Algorithm for Navigating Synthesizable Molecular Spaces Alston Lo, Connor W. Coley, Wojciech Matusik
  42. Why We Need New Benchmarks for Local Intrinsic Dimension Estimation Piotr Tempczyk, Dominik Filipiak, Łukasz Garncarek, Ksawery Smoczyński, Adam Kurpisz
  43. NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion Mapping Yufei Zhu, Shih-Min Yang, Andrey Rudenko, Tomasz Piotr Kucner, Achim J. Lilienthal, Martin Magnusson
  44. The Spacetime of Diffusion Models: An Information Geometry Perspective Rafal Karczewski, Markus Heinonen, Alison Pouplin, Søren Hauberg, Vikas K Garg
  45. SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling Andrei Rekesh, Miruna Cretu, Dmytro Shevchuk, Pietro Lio, Robert A. Batey, Mike Tyers, Michał Koziarski, Cheng-Hao Liu
  46. Bridging ML and algorithms: comparison of hyperbolic embeddings Dorota Celińska-Kopczyńska, Eryk Kopczyński
  47. Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data Rishabh Ranjan, Valter Hudovernik, Mark Znidar, Charilaos I. Kanatsoulis, Roshan Reddy Upendra, Mahmoud Mohammadi, Joe Meyer, Tom Palczewski, Carlos Guestrin, Jure Leskovec
  48. Generalized Parallel Scaling with Interdependent Generations Harry Dong, David Brandfonbrener, Eryk Helenowski, Yun He, Mrinal Kumar, Han Fang, Yuejie Chi, Karthik Abinav Sankararaman
  49. Detecting Data Contamination in LLMs via In-Context Learning Michał Zawalski, Meriem Boubdir, Klaudia Bałazy, Besmira Nushi, Pablo Ribalta
  50. PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement Yian Wang, Han Yang, Minghao Guo, Xiaowen Qiu, Tsun-Hsuan Wang, Wojciech Matusik , Joshua B. Tenenbaum, Chuang Gan
  51. Bidirectional Predictive Coding Gaspard Oliviers, Mufeng Tang, Rafal Bogacz
  52. Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning Nhi Pham, Artur Jesslen, Bernt Schiele, Adam Kortylewski , Jonas Fischer
  53. Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs Preetum Nakkiran, Arwen Bradley, Adam Goliński ML in PL organizer, Eugene Ndiaye, Michael Kirchhof, Sinead Williamson
  54. Robust Training of Neural Networks at Arbitrary Precision and Sparsity Chengxi Ye, Grace Chu, Yanfeng Liu, Yichi Zhang, Lukasz Lew, Li Zhang, Mark Sandler, Andrew G. Howard
  55. Subspace Kernel Learning on Tensor Sequences Lei Wang, Xi Ding, Yongsheng Gao, Piotr Koniusz
  56. Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs Kyle O’Brien, Stephen Casper, Quentin Gregory Anthony, Tomek Korbak, Robert Kirk, Xander Davies, Ishan Mishra, Geoffrey Irving, Yarin Gal, Stella Biderman
  57. Graph Random Features for Scalable Gaussian Processes Matthew Zhang, Jihao Andreas Lin, Krzysztof Marcin Choromanski, Adrian Weller, Richard E. Turner, Isaac Reid
  58. BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design Deepro Choudhury, Sinead Williamson, Adam Goliński ML in PL organizer, Ning Miao, Freddie Bickford Smith, Michael Kirchhof, Yizhe Zhang, Tom Rainforth
  59. Revisiting [CLS] and Patch Token Interaction in Vision Transformers Alexis Marouani, Oriane Siméoni, Herve Jegou, Piotr Bojanowski, Huy V. Vo
  60. Direct Doubly Robust Estimation of Conditional Quantile Contrasts Josh Givens, Song Liu, Henry Reeve, Katarzyna Reluga
  61. Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs Alexander Panfilov, Evgenii Kortukov, Kristina Nikolić, Matthias Bethge, Sebastian Lapuschkin, Wojciech Samek, Ameya Prabhu, Maksym Andriushchenko, Jonas Geiping
  62. Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging Junhao Dong, Xinghua Qu, Cong Zhang, Sua Qi Rong, Nguyen Duc Thai, Wenbo Pan, Xinfeng Li, Tongliang Liu, Piotr Koniusz, Yew-Soon Ong
  63. Eliciting Numerical Predictive Distributions of LLMs Without Auto-Regression Julianna Piskorz, Kasia Kobalczyk, Mihaela van der Schaar
  64. Faithfulness Under the Distribution: A New Look at Attribution Evaluation Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Bartłomiej Sobieski, Przemysław Biecek, Fang Chen, Jianlong Zhou
  65. Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning Dariush Wahdany, Matthew Jagielski, Adam Dziedzic, Franziska Boenisch
  66. Math Blind: Failures in Diagram Understanding Undermine Reasoning in MLLMs Yanpeng Sun, Shan Zhang, Wei Tang, Aotian Chen, Piotr Koniusz, Kai Zou, Yuan Xue, Anton van den Hengel
  67. GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra Mateusz Michalkiewicz, Anekha Sokhal, Tadeusz Michalkiewicz, Piotr Pawlikowski, Mahsa Baktashmotlagh, Varun Jampani, Guha Balakrishnan
  68. There and Back Again: On the relation between Noise and Image Inversions in Diffusion Models Łukasz Staniszewski, Łukasz Kuciński, Kamil Deja
  69. SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image Generation Jan Kociszewski, Hubert Jastrzębski, Tymoteusz Stępkowski, Filip Manijak, Krzysztof Rojek, Franziska Boenisch, Adam Dziedzic
  70. Natural Identifiers for Privacy and Data Audits in Large Language Models Lorenzo Rossi, Bartłomiej Marek, Franziska Boenisch, Adam Dziedzic
  71. Data Provenance for Image Auto-Regressive Generation Bihe Zhao, Louis Kerner, Michel Meintz, Tameem Bakr, Franziska Boenisch, Adam Dziedzic
  72. Universal Properties of Activation Sparsity in Modern Large Language Models Filip Szatkowski ML in PL organizer, Patryk Będkowski, Alessio Devoto, Jan Dubiński, Pasquale Minervini, Mikołaj Piórczyński ML in PL organizer, Simone Scardapane, Bartosz Wójcik
  73. floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL Bhavya Kumar Agrawalla, Michal Nauman, Khush Agrawal, Aviral Kumar
  74. Relative Entropy Pathwise Policy Optimization Claas A Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Radu Grosu, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski