| 1 |
"Shortest Disjoint Paths on a Grid" |
Mathieu Mari, Anish Mukherjee, Piotr Sankowski |
ACM-SIAM Symposium on Discrete Algorithms (SODA 24) |
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| 2 |
"Exact Shortest Paths with Rational Weights on the Word RAM" |
Adam Karczmarz, Wojciech Nadara, Marek Sokołowski |
ACM-SIAM Symposium on Discrete Algorithms (SODA 24) |
Link |
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| 3 |
"Max-s,t-Flow Oracles and Negative Cycle Detection in Planar Digraphs" |
Adam Karczmarz |
ACM-SIAM Symposium on Discrete Algorithms (SODA 24) |
Link |
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| 4 |
"Divide and not forget: Ensemble of selectively trained experts in Continual Learning" |
Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzciński, Bartosz Zieliński, Bartłomiej Twardowski |
International Conference on Learning Representations (ICLR 24) |
Link |
Link |
| 5 |
"From Interaction to Independence: zkSNARKs for Transparent and Non-Interactive Remote Attestation" |
Shahriar Ebrahimi, Parisa Hassanizadeh |
The Network and Distributed System Security (NDSS 24) |
Link |
Link |
| 6 |
"Magnushammer: A Transformer-Based Approach to Premise Selection" |
Maciej Mikuła, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Łukasz Kuciński, Piotr Miłoś, Yuhuai Wu |
International Conference on Learning Representations (ICLR 24) |
Link |
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| 7 |
"Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning" |
Dipam Goswami, Albin Soutif Cormerais, Yuyang Liu, Sandesh Kamath, Bartłomiej Twardowski, Joost van de Weijer |
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
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| 8 |
"Scaling Laws for Fine-Grained Mixture of Experts" |
Jan Ludziejewski, Jakub Krajewski, Kamil Adamczewski, Maciej Pióro, Michał Krutul, Szymon Antoniak, Kamil Ciebiera, Krystian Król, Tomasz Odrzygóźdź, Piotr Sankowski, Marek Cygan, Sebastian Jaszczur |
ICLR 2024, ICML |
Link |
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| 9 |
"MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" |
Maciej Pióro, Kamil Ciebiera, Krystian Król, Jan Ludziejewski, Michał Krutul, Jakub Krajewski, Szymon Antoniak, Piotr Miłoś, Marek Cygan, Sebastian Jaszczur |
ICLR 2024 |
Link |
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| 10 |
"Online Multi-level Aggregation with Delays and Stochastic Arrivals" |
Mathieu Mari, Michał Pawłowski, Runtian Ren, Piotr Sankowski |
AAMAS |
Link |
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| 11 |
"General Markov Model for Solving Patrolling Games" |
Andrzej Nagórko, Marcin Waniek, Małgorzata Róg, Michał Godziszewski, Barbara Rosiak, Tomasz P. Michalak |
40th Conference on Uncertainty in Artificial Intelligence 2024 (UAI 2024) |
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| 12 |
"Animated Ink Bleeding with Computational Fluid Dynamics" |
Grzegorz Gruszczynski, Mateusz Tokarz, Przemyslaw Musialski |
ACM SIGGRAPH 2024 Posters |
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| 13 |
"Neuro-Symbolic Transformation of Architectural Facades into Their Procedural Representations" |
Aleksander Plocharski, Jan Swidzinski, Joanna Porter-Sobieraj, Przemyslaw Musialski |
ACM SIGGRAPH 2024 Posters |
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| 14 |
"NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering" |
Wojciech Zając, Joanna Waczyńska, Piotr Borycki, Jacek Tabor, Maciej Zięba, Przemysław Spurek |
Conference name: 24th International Conference on Computational Science (ICCS 2024) |
Link |
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| 15 |
"Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" |
Przemysław Spurek, Sebastian Winczowski, Maciej Zięba, Tomasz Trzciński, Kacper Kania, Marcin Mazur |
Conference name: 24th International Conference on Computational Science (ICCS 2024) |
Link |
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| 16 |
"Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning" |
Michal Nauman, Michał Bortkiewicz, Mateusz Ostaszewski, Piotr Miłoś, Tomasz Trzciński, Marek Cygan |
ICML |
Link |
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| 17 |
"A deep cut into Split Federated Self-supervised Learning" |
Marcin Przewięźlikowski, Marcin Osial, Bartosz Zieliński, Marek Śmieja |
ECML PKDD 2024 |
Link |
Link |
| 18 |
"AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale" |
Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński, Bartosz Zieliński |
ECCV 2024 |
Link |
Link |
| 19 |
"Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization" |
Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor |
ICML 2024 |
Link |
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| 20 |
"General Markov Model for Solving Patrolling Games" |
Andrzej Nagórko, Michał Tomasz Godziszewski, Marcin Waniek, Barbara Rosiak, Małgorzata Róg, Tomasz Paweł Michalak |
UAI 2024 |
Link |
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| 21 |
"Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks" |
Marcin Podhajski, Jan Dubiński, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Michalak |
7TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE 19-24 OCTOBER 2024 Santiago de Compostela |
Link |
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| 22 |
"HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks" |
Marcin Przewięźlikowski, Przemysław Przybysz, Jacek Tabor, Maciej Zięba, Przemysław Spurek |
Neurocomputing |
arXiv / Link |
Link |
| 23 |
"Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery" |
Grzegorz Rypeść, Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski |
The European Conference on Computer Vision (ECCV 2024) |
Link |
Link |
| 24 |
"Revisiting Supervision for Continual Representation Learning" |
Daniel Marczak, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski |
ECCV 2024 |
Link |
Link |
| 25 |
"MagMax: Leveraging Model Merging for Seamless Continual Learning" |
Daniel Marczak, Bartłomiej Twardowski, Tomasz Trzciński, Sebastian Cygert |
ECCV 2024 |
Link |
Link |
| 26 |
"Exemplar-free Continual Representation Learning via Learnable Drift Compensation" |
Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer |
ECCV 2024 |
Link |
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| 27 |
"Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem" |
Maciej Wołczyk, Bartłomiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś |
ICML 2024 |
Link |
Link |
| 28 |
"Universal Optimization for Non-Clairvoyant Subadditive Joint Replenishment" |
Tomer Ezra, Stefano Leonardi, Michał Pawłowski, Matteo Russo, Seeun William Umboh |
APPROX 2024 |
Link |
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| 29 |
"Machine Learning-assisted Detection of Breast Arterial Calcifications" |
Aleksandra Osowska-Kurczab, Daan van den Oever, Ioannis Sechopoulos |
MICCAI 2024 |
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| 30 |
"AR-TTA: A Simple Method for Real World Continual Test-Time Adaptation" |
Damian Sójka, Bartłomiej Twardowski, Tomasz Trzciński, Sebastian Cygert |
BMVC 2024 |
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| 31 |
"FaçAID: A Transformer Model for Neuro-Symbolic Facade Reconstruction" |
Aleksander Plocharski, Jan Swidzinski, Joanna Porter-Sobieraj, Przemyslaw Musialski |
SIGGRAPH ASIA 2024 |
Link |
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| 32 |
"Online Multi-level Aggregation with Delays and Stochastic Arrivals" |
Mathieu Mari, Michał Pawłowski, Runtian Ren, Piotr Sankowski |
ISAAC 2024 |
Link |
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| 33 |
"Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion" |
Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane |
NeurIPS 2024 |
Link |
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| 34 |
"Let Me DeCode You: Decoder Conditioning with Tabular Data" |
Tomasz Szczepański, Michal K. Grzeszczyk, Szymon Płotka, Arleta Adamowicz, Piotr Fudalej, Przemysław Korzeniowski, Tomasz Trzciński, Arkadiusz Sitek |
MICCAI 2024 |
Link |
Link |
| 35 |
"Neural network interatomic potentials for open surface nano-mechanics application" |
Amirhossein D. Naghdi, Franco Pellegrini, Emine Küçükbenli, Dario Massa, F. Javier Dominguez–Gutierrez, Efthimios Kaxiras, Stefanos Papanikolaou |
Acta Materialia journal |
Link |
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| 36 |
"Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning" |
Grzegorz Rypeść, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski |
NeurIPS 2024 |
Link |
Link |
| 37 |
"Augmentation-aware Self-supervised Learning with Conditioned Projector" |
Marcin Przewięźlikowski, Mateusz Pyla, Bartosz Zieliński, Bartłomiej Twardowski, Jacek Tabor, Marek Śmieja |
Knowledge-Based Systems Journal |
Link / arXiv |
Link |
| 38 |
"Accurate estimation of feature importance faithfulness for tree models" |
Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki, Piotr Sankowski |
AAAI-25 |
Link |
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| 39 |
"From Random Probing to Noisy Leakages Without Field-Size Dependence" |
Gianluca Brian, Stefan Dziembowski, Sebastian Faust |
EUROCRYPT 2024 |
Link |
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| 40 |
"Secret Sharing with Snitching" |
Stefan Dziembowski, Sebastian Faust, Tomasz Lizurej, Marcin Mielniczuki |
31st ACM Conference on Computer and Communications Security (ACM CCS 2024) |
Link |
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| 41 |
"Password-Protected Threshold Signatures" |
Stefan Dziembowski, Stanisław Jarecki, Paweł Kędzior, Hugo Krawczyk, Chan Nam Ngo, Jiayu Xu |
ASIACRYPT 2024 - 30th International Conference on the Theory and Application of Cryptology and Information Security |
Link |
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| 42 |
"Bribe & Fork: Cheap Bribing Attacks via Forking Threat" |
Zeta Avarikioti, Paweł Kędzior, Tomasz Lizurej, Tomasz Michalak |
Advances in Financial Technologies - AFT 2024 |
Link |
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