Instytut Informatyki i Matematyki Komputerowej - lista publikacji

1-75 z 75.

2025

75.
Klaudia Bałazy, Julian McAuley, Jacek Tabor
A Deeper Look into the Limitations of Early-Exit Architectures for Single and Multi-label Classification, International Conference on Computational Science [ICCS], (2025), 179–193
74.
Klaudia Bałazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor
LoRA-XS: low-rank adaptation with extremely small number of parameters, European Conference on Artificial Intelligence [ECAI], (2025), 3194 - 3201
73.
Agnieszka Sroka-Oleksiak, Adam Pardyl, Dawid Rymarczyk, Aldona Olechowska-Jarząb, Katarzyna Biegun-Drożdż, Dorota Ochońska, Michał Wronka, Adriana Borowa, Tomasz Gosiewski, Miłosz Adamczyk, Henryk Telega, Bartosz Zieliński, Monika Brzychczy-Włoch
71.
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Chengliang Dai, Cheng Ouyang, Yuanhan Ma, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandra Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Clan M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob Van Der Geest, Weldebirhan Tewodros Arega, Fabrice Meriaudeau, Caner Özer, Amin Ranem, John Kalkhof, İlkay Öksüz, Anirban Mukhopadhyay , Abdul Qayyum, Moona Mazher, Steven A. Niederer, Cabrera Garcia-Carles, Eric Arazo, Michał Grzeszczyk, Szymon Płotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
70.
Daria Boratyn, Wojciech Słomczyński, Dariusz Stolicki, Stanisław Szufa
Spoiler Susceptibility in Party Elections, European Conference on Artificial Intelligence [ECAI] vol. 413 (2025), 3775-3782
68.
Revisiting the equivalence of Bayesian neural networks and Gaussian processes: on the importance of learning activations, Conference in Uncertainty in Artificial Intelligence [UAI] vol. UAI '25: Proceedings of the Forty-First Conference on Uncertainty in Artificial Intelligence (2025), 3675 - 3700
66.
Furman Oleksii, Ulvi Movsum-zada, Patryk Marszałek, Maciej Zięba, Marek Śmieja
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2025),
64.
Patryk Marszałek, Maciej Rut, Piotr Kawa, Przemysław Spurek, Piotr Syga
As Good as It KAN Get: High-Fidelity Audio Representation, ACM International Conference on Information and Knowledge Management [CIKM], (2025), 2063--2073
63.
Paweł Batorski, Malarz Dawid, Marcin Przewięźlikowski, Marcin Mazur, Sławomir K. Tadeja, Przemysław Spurek
62.
Malarz Dawid, Artur Kasymov, Zięba Maciej, Jacek Tabor, Przemysław Spurek
Classifier-Free Guidance with Adaptive Scaling, European Conference on Artificial Intelligence [ECAI] vol. 413 (2025), 435 - 442
61.
60.
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
59.
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),
58.
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
57.
Daniel Wilczak, Sergio Serrano, Roberto Barrio
56.
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] vol. 267 (2025), 61868-61884
55.
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
54.
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
53.
Kornel Howil, Joanna Waczyńska, Piotr Borycki, Tadeusz Dziarmaga, Marcin Mazur, Przemysław Spurek
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2025), accepted
52.
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
51.
Kamil Książek, Wilhelm Masarczyk, Przemysław Głomb, Michał Romaszewski, Krisztián Buza, Przemysław Sekuła, Michał Cholewa, Katarzyna Kołodziej, Piotr Gorczyca, Magdalena Piegza
48.
Piotr Gaiński, Michał Koziarski, Krzysztof Maziarz, Marvin Segler, Jacek Tabor, Marek Śmieja
47.
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] vol. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025 (2025), 23442-23452
46.
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification, European Conference on Artificial Intelligence [ECAI](MAIN) vol. 413: ECAI 2025 (2025), 411-418
45.
Inferring Missing Data Lineage Links from Schema Metadata Using Transformer-Based Models, International Conference on Very Large Databases [VLDB], (2025), accepted
42.
Maciej Capiński, Bernd Krauskopf, Hinke M. Osinga, Piotr Zgliczyński
38.
Łukasz Struski, Michał B. Bednarczyk, Igor Podolak, Jacek Tabor
LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection, International Conference on Machine Learning [ICML], (2025),
37.
Matheus Cheque Bortolan, Piotr Kalita, Jose Valero Cuadra, Martiza Almeida Brito
36.
Łukasz Struski, Tomasz Urbańczyk, Krzysztof Bucki, Bartłomiej Cupiał, Aneta Kaczyńska, Przemysław Spurek, Jacek Tabor
34.
SEMU: Singular Value Decomposition for Efficient Machine Unlearning, International Conference on Machine Learning [ICML] vol. 267 Proceedings of Machine Learning (2025), 53843-53866
32.
Hypernetwork Approach to Bayesian MAML (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 39 (2025), 29325-29327
31.
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
30.
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
29.
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression, IEEE International Joint Conference on Neural Networks [IJCNN](MAIN), (2025), 1-7
24.
Jarosław Duda, Josef Pieprzyk, Marcin Pawłowski, Morawiecki Paweł, Arash Mahboubi, Seyit Camtepe
20.
VisTabNet: Adapting Vision Transformers for Tabular Data, SIAM International Conference on Data Mining [SDM], (2025), 497-506
18.
Matheus Cheque Bortolan, Piotr Kalita, Jose A. Langa, Rafael de Oliveira Moura
17.
Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, Dawid Rymarczyk
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
16.
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
15.
Matthias Hamburg, Adam Roman
Black-box Testing for Practitioners – a Case of the New ISTQB Test Analyst Syllabus, International Conference on Software Testing, Verification and Validation [ICST](MAIN), (2025), 634-645
14.
Lucjan Stapp, Adam Roman, Michael Pilaeten, Werner Henschelchen, Stephan Goericke
11.
Bartosz Zieliński, Marcin Osial, Daniel Marczak
Parameter-Efficient Interventions for Enhanced Model Merging, SIAM International Conference on Data Mining [SDM], (2025), 516-526
10.
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
6.
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
4.
Bartosz Zieliński, Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik, Mateusz Pach
TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2025), 8606-8616
3.
Bartosz Zieliński, Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale, European Conference on Computer Vision [ECCV], (2025), 112-129