Katedra Uczenia Maszynowego - lista publikacji
Nadjednostka:
1-37 z 37.
2025
37.
Adrito Das, Danyal Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guayan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Płotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Stefanie Speidel, Alejandra Perez, Santiago Rodriguez, Pablo Arbalaez, Danail Stoyanov, Hani Marcus, Sophia Bano
36.
Szymon Płotka, Gizem Mert, Maciej Chrabaszcz, Ewa Szczurek, Arkadiusz Sitek
Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation, Advances in Neural Information Processing Systems [NeurIPS], (2025),
35.
Tomasz Szczepański, Szymon Płotka, Michał Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation, Medical Image Computing and Computer-Assisted Intervention [MICCAI] vol. 15961 (2025), 218–228
34.
Joanna Waczyńska, Tomasz Szczepanik, Piotr Borycki, Sławomir K. Tadeja, Thomas Bohné, Przemysław Spurek
MiraGe: Editable 2D Images using Gaussian Splatting, International Conference on Machine Learning [ICML], (2025),
33.
Adam Kania, Marko Mihajlovic, Prokudin Sergey, Jacek Tabor, Przemysław Spurek
FreSh: Frequency Shifting for Accelerated Neural Representation Learning, International Conference on Learning Representations [ICLR] vol. 9798331320850 (2025), 1-24
32.
Joanna Kaleta, Weronika Smolak-Dyżewska, Malarz Dawid, Diego Dall’Alba, Przemyslaw Korzeniowski, Przemysław Spurek
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy, Medical Image Computing and Computer-Assisted Intervention [MICCAI] vol. 15969} (2025), 391 -- 401
31.
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2025), accepted
30.
Adam Kania, Artur Kasymov, Jakub Kościukiewicz, Artur Górak, Marcin Mazur, Maciej Zięba, Przemysław Spurek
HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields, IEEE International Conference on Data Science and Advanced Analytics [DSAA](MAIN), (2025), accepted
29.
Kamil Książek, Wilhelm Masarczyk, Przemysław Głomb, Michał Romaszewski, Krisztián Buza, Przemysław Sekuła, Michał Cholewa, Katarzyna Kołodziej, Piotr Gorczyca, Magdalena Piegza
28.
27.
Peyman Ashkrof , Farnoud Ghasemi, Rafał Kucharski, Gonçalo Homem de Almeida Correia, Cats Oded , Bart van Arem
26.
Piotr Gaiński, Michał Koziarski, Krzysztof Maziarz, Marvin Segler, Jacek Tabor, Marek Śmieja
Diverse and feasible retrosynthesis using gflownets, Information Sciences vol. 714 (2025), 122194
25.
Marcin Przewięźlikowski, Randal Balestriero, Wojciech Jasiński, Marek Śmieja, Bartosz Zieliński
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations, IEEE International Conference on Computer Vision [ICCV], (2025),
24.
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification, European Conference on Artificial Intelligence [ECAI](MAIN), (2025), accepted
23.
HyperMask: Adaptive hypernetwork-based masks for continual learning, Neural Networks vol. 191 (2025), 107736
22.
LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection, International Conference on Machine Learning [ICML], (2025),
21.
Łukasz Struski, Tomasz Urbańczyk, Krzysztof Bucki, Bartłomiej Cupiał, Aneta Kaczyńska, Przemysław Spurek, Jacek Tabor
MeVGAN: GAN-based plugin model for video generation with applications in colonoscopy, PLoS One vol. 20 (5) (2025), e0312038
20.
Patryk Krukowski, Anna Bielawska, Kamil Książek, Paweł Wawrzynski , Paweł Batorski, Przemysław Spurek
19.
SEMU: Singular Value Decomposition for Efficient Machine Unlearning, International Conference on Machine Learning [ICML], (2025),
18.
Can We Start Sharing Our Rides Again? The Post-Pandemic Ride-Pooling Market, Transport and Telecommunication Journal vol. volume 26, no. 2, (2025), 194-207
17.
Piotr Borycki, Kubacki Piotr, Marcin Przewięźlikowski, Tomasz Kuśmierczyk, , Jacek Tabor
Hypernetwork Approach to Bayesian MAML (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 39 (2025), 29325-29327
16.
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 39 (2025), 21510-21518
15.
Mateusz Poleski, Jacek Tabor, Przemysław Spurek
GeoGuide: Geometric Guidance of Diffusion Models, IEEE Workshop on Applications of Computer Vision [WACV](MAIN) vol. 1 (2025), 297-305
14.
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression, IEEE International Joint Conference on Neural Networks [IJCNN](MAIN), (2025), accepted
13.
Dominik Zimny, Artur Kasymov, Adam Kania, Jacek Tabor, Maciej Zięba, Marcin Mazur, Przemysław Spurek
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation, Expert Systems with Applications vol. 279 (2025), 127350
12.
11.
10.
VisTabNet: Adapting Vision Transformers for Tabular Data, SIAM International Conference on Data Mining [SDM], (2025), 10
9.
NegGS: Negative Gaussian Splatting, Information Sciences vol. 702 (2025), 121912
8.
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision, International Conference on Learning Representations [ICLR](MAIN) vol. ICLR 2025 200 pkt (2025), 1-97
7.
Tadeusz Dziarmaga, Tomasz Arczewski, Marcin Mazur, Maciej Wołczyk
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 39(28) (2025), 29359-29361
6.
Gaussian Splatting with NeRF-based color and opacity, Computer Vision and Image Understanding vol. 251 (2025), 104273
5.
Joanna Waczyńska, Piotr Borycki, Sławomir K. Tadeja, Joanna Kaleta, Przemysław Spurek
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup, Advances in Neural Information Processing Systems [NeurIPS] vol. 37 (2025), 107865--107889
4.
3.
Arkadiusz Drabicki, Cats Oded , Rafał Kucharski
2.
Bartosz Zieliński, Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzciński
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2025), 8536-8545
1.
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale, European Conference on Computer Vision [ECCV], (2025), 112-129