2022	Paper Title	Authors	Conference/Journal Name	Paper Link	Code Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link
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)	Link