| 1 |
"The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning" |
Samuel Kessler, Piotr Miłoś, Jack Parker-Holder, Stephen J. Roberts |
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) |
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| 2 |
Improved Feature Importance Computation for Tree Models Based on the Banzhaf Value |
Adam Karczmarz, Tomasz Michalak, Anish Mukherjee, Piotr Sankowski, Piotr Wygocki |
The 38th Conference on Uncertainty in Artificial Intelligence (UAI) |
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| 3 |
Subquadratic Dynamic Path Reporting in Directed Graphs Against an Adaptive Adversary |
Adam Karczmarz, Anish Mukherjee, Piotr Sankowski |
The 54th ACM Symposium on Theory of Computing (STOC 2022) |
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| 4 |
"A 3-Approximation Algorithm for Maximum Independent Set of Rectangles" |
Waldo Gálvez, Arindam Khan, Mathieu Mari, Tobias Mömke, Madhusudhan Reddy Pittu, Andreas Wiese |
SODA (Symposium on Discrete Algorithms) |
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| 5 |
Improved Strongly Polynomial Algorithms for Deterministic MDPs, 2VPI Feasibility, and Discounted All-Pairs Shortest Paths |
Adam Karczmarz |
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) |
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| 6 |
Subgoal Search For Complex Reasoning Tasks |
Konrad Czechowski, Tomasz Odrzygóźdź, Marek Zbysinski, Michał Zawalski, Krzysztof Olejnik, Yuhuai Wu, Łukasz Kucinski, Piotr Miłoś |
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) |
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| 7 |
Online matching with delays and stochastic arrival times |
Mathieu Mari, Michał Pawłowski, Runtian Ren, Piotr Sankowski |
The second IGAFIT Workshop for Algorithms Postdocs in Europe (AlgPiE by IGAFIT 2022) |
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| 8 |
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models |
Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub M. Tomczak |
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) |
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| 9 |
FlowHMM: Flow-based continuous hidden Markov models |
Paweł Lorek, Rafał Nowak, Tomasz Trzcinski, Maciej Zięba |
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) |
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| 10 |
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? |
Monika Wysoczańska, Tom Monnier, Tomasz Trzcinski, David Picard |
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) |
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| 11 |
"Diversity Balancing Generative Adversarial Networks for fast simulation of the Zero Degree Calorimeter in the ALICE experiment at CERN" |
Jan Dubiński, Kamil Deja, Sandro Wenzel, Przemysław Rokita, Tomasz Trzcinski |
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) |
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| 12 |
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks |
Filip Szatkowski, Karol J. Piczak, Przemysław Spurek, Jacek Tabor, Tomasz Trzcinski |
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) |
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