Instytut Informatyki i Matematyki Komputerowej - lista publikacji
Nadjednostka:
Podjednostki:
1-200 z 966.
2025
966.
Isometric models for groups with a bi-invariant metric, Studia Mathematica vol. 283 (2025), 43-65
965.
Łukasz Struski, Michał B. Bednarczyk, Igor T. Podolak, Jacek Tabor
LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection, International Conference on Machine Learning [ICML], (2025),
964.
Matheus Cheque Bortolan, Piotr Kalita, Jose Valero Cuadra, Martiza Almeida Brito
Maximal attractors for multivalued semiflows, Revista Matematica Complutense (2025), available online
963.
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
962.
Patryk Krukowski, Anna Bielawska, Kamil Książek, Paweł Wawrzynski , Paweł Batorski, Przemysław Spurek
961.
SEMU: Singular Value Decomposition for Efficient Machine Unlearning, International Conference on Machine Learning [ICML], (2025),
960.
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
959.
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
958.
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
957.
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
956.
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression, IEEE International Joint Conference on Neural Networks [IJCNN](MAIN), (2025), accepted
955.
954.
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
953.
952.
951.
Jarosław Duda, Josef Pieprzyk, Marcin Pawłowski, Morawiecki Paweł, Arash Mahboubi, Seyit Camtepe
950.
949.
Michał Lipiński, Konstantin Mischaikow, Marian Mrozek
948.
Jonathan Ariel Barmak, Marian Mrozek, Thomas Wanner
947.
VisTabNet: Adapting Vision Transformers for Tabular Data, SIAM International Conference on Data Mining [SDM], (2025), 10
946.
NegGS: Negative Gaussian Splatting, Information Sciences vol. 702 (2025), 121912
945.
Matheus Cheque Bortolan, Piotr Kalita, Jose A. Langa, Rafael de Oliveira Moura
944.
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
943.
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], (2025), accepted
942.
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], (2025), (accepted)
941.
Lucjan Stapp, Adam Roman, Michael Pilaeten, Werner Henschelchen, Stephan Goericke
ISTQB Certified Tester Foundation Level. Ein Handbuch zum Selbststudium und zur Prüfungsvorbereitung, Springer Verlag (połaczony z Kluwer Academic Publishing), 2025
940.
Gaussian Splatting with NeRF-based color and opacity, Computer Vision and Image Understanding vol. 251 (2025), 104273
939.
938.
Bartosz Zieliński, Marcin Osial, Daniel Marczak
Parameter-Efficient Interventions for Enhanced Model Merging, SIAM International Conference on Data Mining [SDM], (2025),
937.
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
936.
Gábor Benedek, Tibor Krisztin, Robert Szczelina
935.
934.
933.
Arkadiusz Drabicki, Cats Oded , Rafał Kucharski
932.
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
931.
Ruben Caballero Toro, Piotr Kalita, Jose Valero Cuadra
930.
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
929.
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale, European Conference on Computer Vision [ECCV], (2025), 112-129
928.
Juan Garcia-Fuentes, Piotr Kalita, Jose A. Langa, Antonio Suarez
927.
Mateusz Przybylski, Marian Mrozek, Jim Wiseman
926.
Jarosław Flis, Wojciech Słomczyński, Jacek Sokołowski, Dariusz Stolicki, Stanisław Szufa
Skrzywione szranki. Na tropach gerrymanderingu w polskich wyborach do rad gmin w 2014 r., Wydawnictwo Uniwersytetu Jagiellońskiego, 2025
2024
925.
Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Bengio Emmanuel, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin
Amortizing intractable inference in diffusion models for vision, language, and control, Advances in Neural Information Processing Systems [NeurIPS] vol. 37 (2024), 1-35
924.
Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin
Improved off-policy training of diffusion samplers, Advances in Neural Information Processing Systems [NeurIPS] vol. 37 (2024), 81016-81045
923.
Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong
Iterated denoising energy matching for sampling from boltzmann densities, International Conference on Machine Learning [ICML] vol. Proceedings of Machine Learning Research (2024), 760-786
922.
Izzy Newsham, Marcin Sendera, Sri Ganesh Jammula, Shamith A Samarajiwa
921.
Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 37 (2024), 43245-43273
920.
Bartosz Zieliński, Tomasz Trzciński, Bartłomiej Twardowski, Kamil Adamczewski, Bartosz Wójcik
Zero-Waste Machine Learning, European Conference on Artificial Intelligence [ECAI](MAIN) vol. 392 (2024), 43-49
919.
Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor
Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization, International Conference on Machine Learning [ICML] vol. Proceedings of Machine Learning Research, Volume 235 (2024), 38474--38494
918.
Eric Goubault, Marian Mrozek, Martin Raussen
917.
Tamal Dey, Michał Lipiński, Marian Mrozek, Ryan Slechta
916.
Paweł Dłotko, Michał Lipiński, J Signerska-Rynkowska
Testing Topological Conjugacy of Time Series, SIAM Journal on Applied Dynamical Systems vol. 23 (2024), 2939-2982
915.
Wojciech Słomczyński, Dariusz Stolicki, Stanisław Szufa
Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections, International Joint Conference on Artificial Intelligence [IJCAI], (2024), 2967-2975
914.
Modelling the Rise and Fall of Two-sided Markets, International Joint Conference on Autonomous Agents and Multiagent Systems [AAMAS](MAIN), (2024), 679-687
913.
Rafał Kucharski, Cats Oded
912.
Krzysztof Misztal, Ewelina Złotkowska, Anna Wlazło, Małgorzata Kiełkiewicz, Paulina Dziosa, Krzysztof Soja, Anna Barczak-Brzyżek, Marcin Filipecki
911.
Adam Roman, Jarosław Hryszko, Rafał Brożek
Enhancing Software Defect Prediction: Exploring the Predictive Power of Two Data Flow Metrics vol. Communications in Computer and Information Science, vol 2028 (2024), "Evaluation of Novel Approaches to Software Engineering. ENASE 2023", Springer
910.
Bartosz Zieliński, Marcin Przewięźlikowski, Mateusz Pyla, Bartłomiej Twardowski, Jacek Tabor, Marek Śmieja
Augmentation-aware self-supervised learning with conditioned projector, Knowledge-Based Systems vol. 305 (2024), 112572
909.
Zięba Maciej , Marcin Przewięźlikowski, Marek Śmieja, Jacek Tabor, Tomasz Trzciński, Przemysław Spurek
RegFlow: Probabilistic Flow-Based Regression for Future Prediction, Asian Conference on Intelligent Information and Database Systems [ACIIDS], (2024), 267–279
908.
Andrzej Bedychaj, Jacek Tabor, Marek Śmieja
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN, Pacific-Asia Conference on Knowledge Discovery and Data Mining [PAKDD], (2024), 118-130
907.
Ethan Akin, Marian Mrozek, Mateusz Przybylski, Jim Wiseman
906.
Amadeu Delshams, Albert Granados, Rodrigo Gonçalves Schaefer
Arnold diffusion for an a priori unstable Hamiltonian system with 3 + 1/2 degrees of freedom, Chaos vol. 34 (2024), 063118
905.
Zbigniew Hajto, Rouzbeh Mohseni
Tame topology and non-integrability of dynamical systems vol. 128, Banach Center Publications (2024), "GKLW-Workshop in Singularity Theory in memory of Stanisław Łojasiewicz", Instytut Matematyczny Polskiej Akademii Nauk
904.
Jarosław Duda, Arash Mahboubi, Seyit Camtepe, Keyvan Ansari, Marcin Pawłowski, Morawiecki Paweł, Józef Pieprzyk
File System Shield (FSS): A Pass-Through Strategy Against Unwanted Encryption in Network File Systems, International Workshop on Security [IWSEC] vol. 14977 (Lecture Notes in Computer Science) (2024), 213-233
903.
Jordy Van Landeghem, Ruben Tito, Łukasz Borchmann, Michał Pietruszka, Jurkiewicz Dawid, Powalski Rafał , Paweł Józiak, Sanket Biswas, Mickael Coustaty, Tomasz Stanisławek
ICDAR 2023 competition on document understanding of everything (DUDE), IEEE International Conference on Document Analysis and Recognition [ICDAR], (2024),
902.
Michał Pietruszka, Michał Turski, Łukasz Borchmann, Tomasz Dwojak, Pałka Gabriela, Karolina Szyndler, Jurkiewicz Dawid, Łukasz Garncarek
STable: Table Generation Framework for Encoder-Decoder Models, European Association of Computational Linguistics [EACL](MAIN), (2024), 2454–2472
901.
Jarosław Duda, Arash Mahboubi, Józef Pieprzyk, Seyit Camtepe, Keyvan Ansari, Morawiecki Paweł, Hamed Aboutorab
900.
Michał Markiewicz, Ireneusz Brzozowski, Szymon Janusz
Spiking Neural Network Pressure Sensor, Neural Computation vol. Volume 36, Issue 11 (2024), 1-23
899.
Careful Synchronization of One-Cluster Automata, Developments in Language Theory [DLT], (2024), 252-265
898.
Bartosz Zieliński, Szymon Opłatek, Dawid Rymarczyk
Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks, Communications in Computer and Information Science vol. 2153 (2024), 57-68
897.
Marcin Przewięźlikowski, Przemysław Przybysz, Zięba Maciej , Jacek Tabor, Przemysław Spurek
HyperMAML: Few-shot adaptation of deep models with hypernetworks, Neurocomputing vol. 598 (2024), 128-179
896.
Przemysław Spurek, Tomasz Trzciński, Joanna Waczyńska, Dominik Zimny
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud, Pattern Recognition Letters vol. 185 (2024), 8-14
895.
NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering, International Conference on Computational Science [ICCS](MAIN) vol. 14832 (2024), 346--361
894.
ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery, European Symposium on Artificial Neural Networks [ESANN], (2024), 273-278
893.
A deep cut into Split Federated Self-Supervised Learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2024), 444-459
892.
891.
890.
Ewelina Jamrozik, Sabina Podlewska, Marek Śmieja
889.
Magdalena Proszewska, Maciej Wołczyk, Zięba Maciej , Patryk Wielopolski, Łukasz Maziarka, Marek Śmieja
888.
Jarosław Duda, Gopal Bhatta
887.
Przemysław Spurek, Sebastian Winczowski, Zięba Maciej , Tomasz Trzcinski, Kacper Kania, Marcin Mazur
Modeling 3D Surfaces with a Locally Conditioned Atlas, International Conference on Computational Science [ICCS](MAIN) vol. 14833 (2024), 100-115
886.
885.
Michał Markiewicz, Piotr Dziurdzia, Thomas Skotnicki
884.
Pablo Almaraz, Piotr Kalita, Jose A. Langa, Fernando Soler-Toscano
Structural stability of invasion graphs for Lotka-Volterra systems, Journal of Mathematical Biology vol. 88 (2024), article number 64
883.
Juan Garcia-Fuentes, Piotr Kalita, Jose A. Langa
Forwards attractor structures in a planar cooperative non-autonomous Lotka-Volterra system, Qualitative Theory of Dynamical Systems vol. 23 (2024), article number 163
882.
Gaussian model for closed curves, Expert Systems with Applications vol. 249 part B (2024), 123615
881.
Bogdan Batko, Marcio Gameiro, Ying Hung, William Kalies, K. Mischaikow, Ewerton Vieira
880.
Adam Roman, Lucjan Stapp, Michael Pilaeten
879.
Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Marek Żyła, Marek Kańduła, Ana Sánchez-Fernández, Krzysztof Rataj, Łukasz Struski, Jacek Tabor
878.
Matheus Cheque Bortolan, Juliana Fernandes, Juan Garcia-Fuentes, Piotr Kalita
On maximal attractors for dynamical systems. Application to a semilinear parabolic problem with controlled growth, Journal of Evolution Equations vol. 24 (2024), Article number 38
877.
Łukasz Struski, Paweł Morkisz, Przemysław Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzciński
Efficient GPU implementation of randomized SVD and its applications, Expert Systems with Applications vol. 248 (2024), 123462
876.
Jarosław Duda, Jacek Leśkow, Paweł Pawlik, Witold Cioch
875.
874.
Piotr Kalita, Everaldo de Mello Bonotto
Long-time behavior for impulsive generalized semiflows, Nonlinear Analysis-Hybrid Systems vol. 51 (2024), 101432
873.
Michał Zając, Tinne Tuytelaars, Gido van de Ven
Prediction Error-based Classification for Class-Incremental Learning, International Conference on Learning Representations [ICLR], (2024),
872.
Bartosz Zieliński, Grzegorz Rypeść, Valeriya Khan, Tomasz Trzcinski, Bartłomiej Twardowski, Sebastian Cygert
Divide and not forget: Ensemble of selectively trained experts in Continual Learning, International Conference on Learning Representations [ICLR](MAIN), (2024),
871.
Piotr Dziurdzia, Piotr Bratek, Michał Markiewicz
870.
869.
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 38 (19) (2024), 21563 - 21573
868.
Face Identity-Aware Disentanglement in StyleGAN, IEEE Workshop on Applications of Computer Vision [WACV], (2024), 5222-5231
867.
Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemysław Spurek
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 38 (2024), 23623-23625
866.
Adam Roman, Lucjan Stapp, Michael Pilaeten
ISTQB Certified Tester Foundation Level. A Self-Study Guide Syllabus v4.0, Springer Verlag (połaczony z Kluwer Academic Publishing), 2024
865.
864.
Bartosz Zieliński, Dawid Rymarczyk, Weiwei Schultz, Adriana Borowa, Joshua Friedman, Tomasz Danel, Patrick Branigan, Michał Chałupczak, Anna Bracha, Tomasz Krawiec, Michał Warchoł, Katherine Li, Gert De Hertogh, Louis R. Ghanem, Aleksandar Stojmirovic
863.
Adam Roman, Jakub Gomułka
Tractatus 6 Reconsidered: An Algorithmic Alternative to Wittgenstein’s Trade-off, History and Philosophy of Logic vol. 45,3 (2024), 323-340
862.
861.
860.
Jakub Banaśkiewicz, Alexandre Nolasco de Carvalho, Juan Garcia-Fuentes, Piotr Kalita
859.
Rafał Kucharski, Cats Oded , Jaime Soza-Parra
2023
858.
Emily K. de Jong, Clare Singer, Sajjad Azimi, Piotr Bartman-Szwarc, Oleksii Bulenok, Kacper Derlatka, Isabella Dula, Anna Jaruga, J. Ben Mackay, Ryan X. Ward, Sylwester Arabas
New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping, Journal of Open Source Software vol. 8(84) (2023), 4968
857.
Jordy Van Landeghem, Ruben Tito, Łukasz Borchmann, Michał Pietruszka, Paweł Józiak, Powalski Rafał , Jurkiewicz Dawid, Mickael Coustaty, Bertrand Ackaert, Ernest Valveny, Matthew Blaschko, Sien Moens, Tomasz Stanisławek
Document Understanding Dataset and Evaluation (DUDE), IEEE International Conference on Computer Vision [ICCV](MAIN), (2023), 19528-19540
856.
Rafał Kucharski, Arkadiusz Drabicki, Cats Oded , Szarata Andrzej
855.
Network structures of urban ride-pooling problems and their properties, Social Network Analysis and Mining vol. 13 (1) 89 (2023), 1-13
854.
Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu , Jacek Tabor
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (2023), 55160--55192
853.
Jarosław Duda, Marcin Niemiec
852.
Jarosław Duda, Józef Pieprzyk, Marcin Pawłowski, Seyit Camtepe, Morawiecki Paweł, Arash Mahboubi
The Compression Optimality of Asymmetric Numeral Systems, Entropy vol. 25(4) (2023), art 25
851.
Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński, Piotr Miłoś
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (2023), 50617--50647
850.
849.
Witold Wydmański, Oleksii Bulenok, Marek Śmieja
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 1-9
848.
Tobiasz Ciepliński, Tomasz Danel, Sabina Podlewska, Stanisław Jastrzębski
847.
Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, Łukasz Maziarka
846.
Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski, Maciej Wołczyk, Klaudia Bałazy, Bartłomiej Krzepkowski, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński
Zero time waste in pre-trained early exit neural networks, Neural Networks vol. 168 (2023), 580-601
845.
Synchronizing Automata with Coinciding Cycles, Developments in Language Theory [DLT], (2023), 208-218
844.
Aleksandra Nowak, Romuald A. Janik
Discovering wiring patterns influencing neural network performance, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) [ECML PKDD] vol. Lecture Notes in Computer Science, vol 13715. Springer, Cham (2023), 631-646
843.
Alesander Skała, Jakub Grela, Dominik Latoń, Katarzyna Bańczyk, Michał Markiewicz, Andrzej Ożadowicz
842.
Adaptive Beamforming in mm-Wave 5G Networks, Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne vol. XCII, No. 4 (2023), 382 - 386
841.
Empirical Verification of TQED - A New Test Design Heuristic Technique, International Conference on Testing Software and Systems [ICTSS] vol. 14131, Lecture Notes in Computer Science (2023), 1-17
840.
Michał Markiewicz, Aleksander Skała, Jakub Grela, Szymon Janusz, Tadeusz Stasiak, Dominik Latoń, Andrzej Bielecki, Katarzyna Bańczyk
The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors , Energies vol. 16, Special Issue: Performance Evaluation, Thermal Comfort and Energy Efficiency in Buildings (2023), 5584
839.
ProPML: Probability Partial Multi-label Learning, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 1-8
838.
Bartosz Zieliński, Łukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging, European Conference on Artificial Intelligence [ECAI] vol. 372 (2023), 2210 - 2217
837.
Bartosz Zieliński, Adam Pardyl, Dawid Rymarczyk, Joanna Jaworek-Korjakowska, Dariusz Kucharski, Andrzej Brodzicki, Julia Lasek, Zofia Schneider, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz, Zbisław Tabor
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer, European Conference on Artificial Intelligence [ECAI] vol. 372 (2023), 1835 - 1842
836.
Bartosz Zieliński, Dawid Rymarczyk, Joost van de Weijer , Bartłomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning, IEEE International Conference on Computer Vision [ICCV](MAIN) vol. 2023 (2023), 1887-1898
835.
r-softmax: Generalized Softmax with Controllable Sparsity Rate, International Conference on Computational Science [ICCS] vol. Lecture Notes in Computer Science, vol 14074. Springer, Cham (2023), 137-145
834.
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models, European Association of Computational Linguistics [EACL] vol. Findings of the Association for Computational Linguistics: EACL 2023 (2023), 1788–1805
833.
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks, European Association of Computational Linguistics [EACL] vol. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (2023), 2038–2048
832.
Tomasz Danel, Jan Łęski, Sabina Podlewska, Igor Podolak
Docking-based generative approaches in the search for new drug candidates, Drug Discovery Today vol. 28/2 (2023), 103439
831.
Przemysław Spurek, Karol Piczak, Jacek Tabor, Tomasz Trzciński, Filip Szatkowski
Hypernetworks build Implicit Neural Representations of Sounds, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. 14172 (2023), 661–676
830.
Przemysław Spurek, Marcin Sendera, Marcin Przewięźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor
829.
Maciej Skwirczyński, Zbisław Tabor, Julia Lasek, Zofia Schneider, Sebastian Gibała, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz
828.
ChiENN: Embracing Molecular Chirality with Graph Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. Lecture Notes in Computer Science(), vol 14171. Springer, Cham (2023), 36-52
827.
Contrastive Hierarchical Clustering, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. Lecture Notes in Computer Science(), vol 14169. Springer, Cham. (2023), 627–643
826.
Adam Roman, Rafał Brożek, Jarosław Hryszko
Predictive Power of Two Data Flow Metrics in Software Defect Prediction, International Conference on Evaluation of Novel Approaches to Software Engineering [ENASE], (2023), 114-125
825.
Krzysztof Misztal, Mirosław Szwed, Witold Żukowski, Rafał Kozłowski
High-Energy Transformations of Fossil Fuels in the Cement Industry, Energies vol. 16(9), 3634 (2023), 1-14
824.
Numerical analysis of a non-clamped dynamic thermoviscoelastic contact problem, Nonlinear Analysis: Real World Applications vol. 73 (2023) (2023), 20 stron, nr 103870
823.
Bartosz Zieliński, Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski, Tomasz Trzciński
Active Visual Exploration Based on Attention-Map Entropy, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2023), 1303-1311
822.
821.
820.
Bounding Evidence and Estimating Log-Likelihood in VAE, International Conference on Artificial Intelligence and Statistics [AISTATS](MAIN) vol. 206 (2023), 5036-5051
819.
Przemysław Spurek, Jacek Tabor, Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Zięba Maciej
Hypershot: Few-shot learning by kernel hypernetworks, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 2469--2478
818.
Bartosz Zieliński, Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations, IEEE Access vol. 11 (2023), 13028-13043
817.
Morawiecki Paweł, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja
Hebbian Continual Representation Learning, Hawaii International Conference on System Sciences [HICSS], (2023), 1259-1268
816.
Adrian Hill, Zachary Lebo, Miroslaw Andrejczuk, Sylwester Arabas, Piotr Dziekan, Paul Field, Andrew Gettelman, Fabian Hoffmann, Hanna Pawlowska, Ryo Onishi, Benoit Vié
815.
Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction, SIAM International Conference on Data Mining [SDM] vol. 978-1-61197-765-3 (2023), 379 - 387
814.
Daniel Wilczak, Maciej Capiński, Warwick Tucker, Jason D. Mireles James, Jan Bouwe van den Berg
813.
812.
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts, IEEE Workshop on Applications of Computer Vision [WACV](MAIN) vol. 2023 (2023), 1481-1492
811.
SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846
810.
Przemysław Spurek, Przemysław Stachura, Ivan Kostiuk, Sławomir K. Tadeja, Tomasz Trzciński
809.
Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
Disentangling Transfer in Continual Reinforcement Learning, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2023), 6304-6317
808.
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes, International Conference on Neural Information Processing [ICONIP](MAIN) vol. Communications in Computer and Information Science 1794 (2023), 13–24
807.
Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Dorota Ochońska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Włoch
806.
2022
805.
Marcin Żelawski, Grzegorz Migdałek
804.
Some results concerning careful synchronization of partial automata and subset synchronization of DFA's, International Conference on Implementation and Application of Automata [CIAA], (2022), 106-125
803.
Jakub Hryc, Robert Szczelina, Michał Markiewicz, Marta Pasenkiewicz-Gierula
802.
Romuald A. Janik, Igor Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fąfrowicz
801.
Tamal Dey, Michał Lipiński, Marian Mrozek, Ryan Slechta
Tracking dynamical features via continuation and persistence, International Symposium on Computational Geometry [SoCG], (2022), 35:1-35:17
800.
Jarosław Żygierewicz, Romuald A. Janik, Igor Podolak, Alan Drozd, Urszula Malinowska, Martyna Poziomska, Jakub Wojciechowski, Paweł Ogniewski, Paweł Niedbalski, Iwona Terczyńska, Jacek Rogala
799.
Jeongbin Park, Gilles Duvert, Alain Coulais, Gregory V. Jung, Sylwester Arabas, Brian Barker, Takeshi Enomoto, Sylvain Flinois, Oliver Gressel, Tomas Hillberg, Thibault Huillet, Jan Kohnert, Orion Poplawski, Eloi Rozier de Linage, Remi A. Solås, Luke Stagner, Ole Streicher, James Tappin, Thierry Thomas, Jingwei Wang, Christian Wimmer
GNU Data Language 1.0: a free/libre and open-source drop-in replacement for IDL/PV-WAVE, Journal of Open Source Software vol. 7(80) (2022), 4633
798.
Tamal K. Dey, Michał Lipiński, Marian Mrozek, Ryan Slechta
Tracking Dynamical Features via Continuation and Persistence, 38th International Symposium On Computational Geometry (socg 2022) (2022),
797.
796.
795.
794.
Tomasz Danel, Agnieszka Wojtuch, Sabina Podlewska
793.
Tomasz Trzciński, Kamil Deja, Paweł Wawrzynski , Wojciech Masarczyk , Daniel Marczak
Multiband VAE: latent space alignment for knowledge consolidation in continual learning, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2022), 2902-2908
792.
SLOVA: Uncertainty estimation using single label one-vs-all classifier, Applied Soft Computing Journal vol. 126 (2022), 109219
791.
Krzysztof Misztal, Anna Drożdż, Tomasz Kołodziej, Sonia Wróbel, Natalia Targosz-Korecka, Marek Drab, Robert jach, Carina Rząca, Magdalena Surman, Małgorzata Przybyło, Zenon Rajfur, Ewa Ł. Stępień
790.
Piotr Faliszewski, Krzysztof Sornat , Stanisław Szufa
The Complexity of Subelection Isomorphism Problems, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN), (2022), 4991-4998
789.
788.
Piotr Bartman-Szwarc, Jakub Banaśkiewicz, Szymon Drenda, Maciej Manna, Michael Olesik, Paweł Rozwoda, Michał Sadowski, Sylwester Arabas
PyMPDATA v1: Numba-accelerated implementation of MPDATA with examples in Python, Julia and Matlab, Journal of Open Source Software vol. 7(77) (2022), 3896
787.
Przemysław Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Sławomir K. Tadeja, Łukasz Struski, Jacek Tabor, Tomasz Trzciński
HyperPocket: generative point cloud completion, IEEE/RSJ International Conference on Intelligent Robots and Systems [IROS], (2022), 6848-6853
786.
Batch size reconstruction-distribution trade-off in kernel based generative autoencoders, IEEE International Conference on Image Processing [ICIP], (2022), 3728-3732
785.
Piotr Gaiński, Łukasz Maziarka, Tomasz Danel, Stanisław Jastrzębski
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI], (2022), 12949-12950
784.
On the relationship between disentanglement and multi-task learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2022),
783.
Nonlinear Weighted Independent Component Analysis, International Conference on Information Processing and Management of Uncertainty [IPMU] vol. II (2022), 3–16
782.
Target layer regularization for continual learning using Cramer-Wold distance, Information Sciences vol. 609 (2022), 1369-1380
781.
Przemysław Spurek, Jacek Tabor, Piotr Tempczyk, Rafał Michaluk, Łukasz Garncarek, Adam Golinski
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood, International Conference on Machine Learning [ICML](MAIN), (2022), 21205-21231
780.
Jacek Tabor, Maciej Wołczyk, Karol Piczak, Bartosz Wójcik, Łukasz Pustelnik, Morawiecki Paweł, Tomasz Trzcinski, Przemysław Spurek
Continual Learning with Guarantees via Weight Interval Constraints, International Conference on Machine Learning [ICML](MAIN), (2022), 23897-23911
779.
Jarosław Duda, Seyit Camtepe, Arash Mahboubi, Morawiecki Paweł, Surya Nepal, Marcin Pawłowski, Józef Pieprzyk
ANS-based Compression and Encryption with 128-bit Security, International Journal of Information Security vol. 21 (2022), 1051–1067
778.
Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński
Interpretable Image Classification with Differentiable Prototypes Assignment, European Conference on Computer Vision [ECCV](MAIN) vol. Lecture Notes in Computer Science 13672 (2022), 351-368
777.
Naumov Vitalii, Olha Shulika, Oleksandra Orda, Hanna Vasiutina, Marek Bauer, Myroslav Oliskevych
776.
Rafał Kucharski, Cats Oded
Simulating two-sided mobility platforms with MaaSSim, PLoS One vol. 17(6) (2022), e0269682
775.
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN) vol. Lecture Notes in Computer Science 13713 (2022), 421-436
774.
LocoGAN—Locally convolutional GAN, Computer Vision and Image Understanding vol. 221 (2022), 103462
773.
Piotr Bartman-Szwarc, Oleksii Bulenok, Kamil Górski, Anna Jaruga, Grzegorz Łazarski, Michael Olesik, Bartosz Piasecki, Clare Singer, Aleksandra Talar, Sylwester Arabas
PySDM v1: particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry, Journal of Open Source Software vol. 7(72) (2022), 3219
772.
Michael Olesik, Jakub Banaśkiewicz, Piotr Bartman-Szwarc, Manuel Baumgartner, Simon Unterstrasser, Sylwester Arabas
771.
Bernhard C. Geiger, Sophie Steger, Marek Śmieja
Semi-Supervised Clustering via Information-Theoretic Markov Chain Aggregation, ACM Symposium on Applied Computing [SAC](MAIN), (2022), 1136-1139
770.
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Zięba Maciej , Patryk Wielopolski, Rafał Kurczab, Marek Śmieja
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 36/8 (2022), 8647-8656
769.
Romuald A. Janik, Igor T. Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fafrowicz
768.
Maciej Capiński, Marcel Guardia, Pau Martin , Tere Seara, Piotr Zgliczyński