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Piotr Miłoś

Liczba publikacji: 45

2025

Jan Ludziejewski , Maciej Pióro, Jakub Krajewski , Maciej Stefaniak, Michał Krutul , Jan Małaśnicki, Marek Cygan , Piotr Sankowski , KAMIL ADAMCZEWSKI, Piotr Miłoś , Sebastian Jaszczur , Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient, The 42nd International Conference on Machine Learning, Vancouver, Canada, 13 lipca 2025 - 19 lipca 2025, 267 2025, s. 41056-41073. Zobacz w PBN
Mateusz Olko , Mateusz Gajewski, Joanna Wojciechowska, Mikołaj Morzy, Piotr Sankowski , Piotr Miłoś , Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery, The 42nd International Conference on Machine Learning, Vancouver, Canada, 13 lipca 2025 - 19 lipca 2025, 267 2025, s. 47155-47175. Zobacz w PBN
Konrad Staniszewski , Szymon Tworkowski, Sebastian Jaszczur , Yu Zhao, Henryk Michalewski , Łukasz Kuciński , Piotr Miłoś , Structured Packing in LLM Training Improves Long Context Utilization, The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, the United States of America, 24 lutego 2025 - 3 marca 2025, 39 (24) 2025, s. 25201-25209. Zobacz w PBN

2024

Yu Zhao, Yuanbin Qu, Konrad Staniszewski , Szymon Tworkowski, Wei Liu, Piotr Miłoś , Yuxiang Wu, Pasquale Minervini, Analysing The Impact of Sequence Composition on Language Model Pre-Training, 62nd Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand, 11 sierpnia 2024 - 16 sierpnia 2024, 1 2024, s. 7897-7912. Zobacz w PBN
Michał Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Miłoś , Marek Cygan , Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control, The Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 10 grudnia 2024 - 15 grudnia 2024, 37 2024, s. 1-34. Zobacz w PBN
Maciej Wołczyk, Bartłoiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając, Razvan Pascanu, Łukasz Kuciński , Piotr Miłoś , Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem, 41st International Conference on Machine Learning, Vienna, Austria, 21 lipca 2024 - 27 lipca 2024, (235) 2024, s. 53039-53078. Zobacz w PBN
Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Łukasz Kuciński , Piotr Miłoś , Yuhuai Wu, Magnushammer: A Transformer-Based Approach to Premise Selection, The 12th International Conference on Learning Representations, Vienna, Austria, 7 maja 2024 - 11 maja 2024. Zobacz w PBN
Michał Nauman, Michał Bortkiewicz, Piotr Miłoś , Tomasz Trzciński, Mateusz Ostaszewski, Marek Cygan , Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning, 41st International Conference on Machine Learning, Vienna, Austria, 21 lipca 2024 - 27 lipca 2024. Zobacz w PBN
Albert Q. Jiang, Alicja Ziarko , Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Miłoś , Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe, The Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 10 grudnia 2024 - 15 grudnia 2024. Zobacz w PBN

2023

Michał Zając, Kamil Deja, Tomasz Trzciński, Piotr Miłoś , Exploring Continual Learning of Diffusion Models, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition , Vancouver, Canada, 17 czerwca 2023 - 21 czerwca 2023. Zobacz w PBN
Michał Zawalski , Michał Tyrolski, Konrad Czechowski, Tomasz Odrzygóźdź, Damian Stachura, Piotr Piękos, Yuhuai Wu, Łukasz Kuciński , Piotr Miłoś , Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search, International Conference on Learning Representations, Kigali, Rwanda, 1 maja 2023 - 5 maja 2023. Zobacz w PBN
Szymon Tworkowski, Konrad Staniszewski , Mikołaj Pacek, Yuhuai Wu, Henryk Michalewski , Piotr Miłoś , Focused Transformer: Contrastive Training for Context Scaling, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, the United States of America, 10 grudnia 2023 - 16 grudnia 2023. Zobacz w PBN
Maciej Wołczyk, Bartłoiej Cupiał, Łukasz Kuciński , Piotr Miłoś , Michał Zając, On The Role of Forgetting in Fine-Tuning Reinforcement Learning Models, International Conference on Learning Representations, Kigali, Rwanda, 1 maja 2023 - 5 maja 2023. Zobacz w PBN
Wojciech Masarczyk, Mateusz Ostaszewski, Piotr Miłoś , Tomasz Trzciński, The Tunnel Effect: Building Data Representations in Deep Neural Networks, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, the United States of America, 10 grudnia 2023 - 16 grudnia 2023. Zobacz w PBN
Mateusz Olko , Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński , Piotr Miłoś , Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery, 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, the United States of America, 10 grudnia 2023 - 16 grudnia 2023. Zobacz w PBN

2022

Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński , Piotr Miłoś , Disentangling Transfer in Continual Reinforcement Learning, 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, the United States of America, 29 listopada 2022 - 1 grudnia 2023. Zobacz w PBN
Michał Zawalski , Błażej Osiński, Henryk Michalewski , Piotr Miłoś , Off-Policy Correction For Multi-Agent Reinforcement Learning, 21st International Conference on Autonomous Agents and Multiagent Systems, Auckland, New Zealand, 11 maja 2022 - 13 maja 2022. Zobacz w PBN
Piotr Kozakowski, Mikołaj Pacek, Piotr Miłoś , Planning and Learning using Adaptive Entropy Tree Search, IEEE International Joint Conference on Neural Networks [IJCNN], Padwa, Italy, 18 lipca 2022 - 23 lipca 2022. Zobacz w PBN
Piotr Miłoś , The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning, 36th Conference on Neural Information Processing Systems, online, the United States of America, 28 listopada 2022 - 9 grudnia 2022. Zobacz w PBN
Albert Q. Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygóźdź, Piotr Miłoś , Yuhuai Wu, Mateja Jamnik, Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers, 36th Conference on Neural Information Processing Systems , Nowy Orlean , the United States of America, 28 listopada 2022 - 30 listopada 2022. Zobacz w PBN

2021

Łukasz Kuciński , Tomasz Korbak, Piotr Miłoś , Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication, 35th Conference on Neural Information Processing Systems, online, ZZ, 6 grudnia 2021 - 14 grudnia 2021. Zobacz w PBN
Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński , Piotr Miłoś , Continual World : a robotic benchmark for continual reinforcement learning, 35th Conference on Neural Information Processing Systems, On-line, the United States of America, 6 grudnia 2021 - 14 grudnia 2021, [34] 2021, s. [1-14]. Zobacz w PBN
Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński , Piotr Miłoś , ContinualWorld: A Robotic Benchmark For Continual Reinforcement Learning, 35th Conference on Neural Information Processing Systems, online, ZZ, 6 grudnia 2021 - 14 grudnia 2021. Zobacz w PBN
Tomasz Korbak, Julian Zubek, Łukasz Kuciński , Piotr Miłoś , Joanna Rączaszek-Leonardi, Interaction history as a source of compositionality in emergent communication, Interaction Studies, 22 (2) 2021, s. 212-243. Zobacz w PBN
Piotr Januszewski, Konrad Czechowski, Piotr Kozakowski, Łukasz Kuciński , Piotr Miłoś , Structure and Randomness in Planning and Reinforcement Learning, International Joint Conference on Neural Networks 2021, Virtual Event, the United States of America, 18 lipca 2021 - 22 lipca 2021. Zobacz w PBN
Łukasz Kuciński , Piotr Miłoś , Yuhuai Wu, KRZYSZTOF OLEJNIK, Michał Zawalski , Marek Zbysiński, Tomasz Odrzygóźdź, Konrad Czechowski, Subgoal Search For Complex Reasoning Tasks, 35th Conference on Neural Information Processing Systems, online, ZZ, 6 grudnia 2021 - 14 grudnia 2021. Zobacz w PBN
Konrad Czechowski, Tomasz Odrzygóźdź, Michał Izworski, Marek Zbysiński, Łukasz Kuciński , Piotr Miłoś , Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration, International Joint Conference on Neural Networks, Shenzhen, China, 17 lipca 2021 - 21 lipca 2021. Zobacz w PBN

2020

Łukasz Kaiser, Mohammad Babaeizadeh, Piotr Miłoś , Błażej Osiński, Roy H, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski , Konrad Czechowski, Model Based Reinforcement Learning for Atari, Eighth International Conference on Learning Representations, Addis Ababa (Virtual), Ethiopia, 26 kwietnia 2020 - 1 maja 2020. Zobacz w PBN
Błażej Osiński, Adam Jakubowski, Paweł Zięcina, Piotr Miłoś , Christopher Galias, Silviu Homoceanu, Henryk Michalewski , Simulation-Based Reinforcement Learning for Real-World Autonomous Driving, IEEE International Conference on Robotics and Automation (ICRA 2020), Paris, France, 31 maja 2020 - 31 sierpnia 2020. Zobacz w PBN

2019

Piotr Miłoś , Batı Şengül, Existence of a phase transition of the interchange process on the Hamming graph, Electronic Journal of Probability, 24 (64) 2019, s. 1-21. Zobacz w PBN
Bastien Mallein, Piotr Miłoś , Maximal displacement of a supercritical branching random walk in a time-inhomogeneous random environment, Stochastic Processes and their Applications, 129 (9) 2019, s. 3239-3260. Zobacz w PBN

2018

Bastien Mallein, Piotr Miłoś , Brownian motion and Random Walk above Quenched Random Wall, Annales de l'institut Henri Poincare (B) Probability and Statistics, 54 (4) 2018, s. 1877-1916. Zobacz w PBN
Sean Carroll, Jiale Chen, Zhibo Chen, Scott Delp, Jennifer Hicks, Zhewei Huang, Piotr Jarosik, Łukasz Kidziński, Sergey Kolesnikov, Sergey Levine, Zhihui Lin, Andrew Melnik, Henryk Michalewski , Piotr Miłoś , Sharada Mohanty, Carmichael Ong, Błażej Osiński, Mikhail Pavlov, Anton Pechenko, Sergey Plis, Helge Ritter, Marcel Salathé, Malte Schilling, Jun Shi, Adam Stelmaszczyk, Chun Yuan, Zhizheng Zhang, Zhuobin Zheng, Shuchang Zhou, Learning to Run Challenge Solutions: Adapting Reinforcement Learning Methods for Neuromusculoskeletal Environments, NIPS 2017 Competition Track, 2018, s. 121-153. Zobacz w PBN

2017

Julien Berestycki, Eric Brunet, Simon Harris, Piotr Miłoś , Branching Brownian motion with absorption and the all-time minimum of branching Brownian motion with drift, Journal of Functional Analysis, 2017. Zobacz w PBN
Henryk Michalewski , Maciej Klimek, Piotr Miłoś , Hierarchical Reinforcement Learning with Parameters, Proceedings of Machine Learning Research, 1st Annual Conference on Robot Learning, Mountain View, California, the United States of America, 12 listopada 2017 - 14 listopada 2017, 78 2017, s. 301-313. Zobacz w PBN

2015

Radosław Adamczak , Piotr Miłoś , CLT for Ornstein-Uhlenbeck branching particle system, Electronic Journal of Probability, 2015. Zobacz w PBN
Piotr Miłoś , Ron Peled, Delocalization of two-dimensional random surfaces with hard-core constraints, Communications in Mathematical Physics, 2015. Zobacz w PBN

2013

Loren Coquille, Piotr Miłoś , A note on the discrete Gaussian free field with disordered pinning on $Z^d$, $d\geq 2$, Stochastic Processes and their Applications, 2013. Zobacz w PBN
Piotr Miłoś , Rafał Łochowski, On truncated variation, upward truncated variation and downward truncated variation for diffusions, Stochastic Processes and their Applications, 2013. Zobacz w PBN

2012

Martyna Kobus, Piotr Miłoś , Inequality decomposition by population subgroups for ordinal data, Journal of Health Economics, 2012. Zobacz w PBN
Piotr Miłoś , Occupation times of subcritical branching immigration systems with Markov motion, CLT and deviation principles, Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2012. Zobacz w PBN

2009

Piotr Miłoś , Occupation time fluctuation limits of infinite variance equilibrium branching systems, Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2009. Zobacz w PBN
Piotr Miłoś , Occupation times of subcritical branching immigration system with Markov motions, Stochastic Processes and their Applications, 2009. Zobacz w PBN

2008

Piotr Miłoś , Occupation time fluctuations of Poisson and equilibrium branching systems in critical and large dimensions, Probability and Mathematical Statistics-Poland, 2008. Zobacz w PBN