Instytut Informatyki i Matematyki Komputerowej - lista publikacji
Nadjednostka:
Podjednostki:
1-200 z 886.
2024
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
Identifying Nonlinear Dynamics with High Confidence from Sparse Data, SIAM Journal on Applied Dynamical Systems vol. 23(1) (2024), 383-409
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
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.
Computer-assisted validation of the existence of periodic orbit in the Brusselator system, Advances in Differential Equations vol. accepted for publication (2024),
875.
Piotr Kalita, Everaldo de Mello Bonotto
Long-time behavior for impulsive generalized semiflows, Nonlinear Analysis-Hybrid Systems vol. 51 (2024), 101432
874.
Michał Zając, Tinne Tuytelaars, Gido van de Ven
Prediction Error-based Classification for Class-Incremental Learning, International Conference on Learning Representations [ICLR], (2024),
873.
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),
872.
Piotr Dziurdzia, Piotr Bratek, Michał Markiewicz
871.
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations, National Conference of the American Association for Artificial Intelligence [AAAI] vol. 38 (19) (2024), 21563 - 21573
870.
Face Identity-Aware Disentanglement in StyleGAN, IEEE Workshop on Applications of Computer Vision [WACV], (2024), 10
869.
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], (2024), accepted
868.
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
867.
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, 2024
2023
866.
Rafał Kucharski, Arkadiusz Drabicki, Cats Oded , Szarata Andrzej
865.
Network structures of urban ride-pooling problems and their properties, Social Network Analysis and Mining vol. 13 (1) 89 (2023), 1-13
864.
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), (2023),
863.
Jarosław Duda, Jacek Leśkow, Paweł Pawlik, Witold Cioch
862.
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), (2023),
861.
860.
859.
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), 9
858.
857.
Tobiasz Ciepliński, Tomasz Danel, Sabina Podlewska, Stanisław Jastrzębski
856.
Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, Łukasz Maziarka
855.
854.
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
853.
Synchronizing Automata with Coinciding Cycles, Developments in Language Theory [DLT], (2023), 208-218
852.
Alesander Skała, Jakub Grela, Dominik Latoń, Katarzyna Bańczyk, Michał Markiewicz, Andrzej Ożadowicz
851.
Adaptive Beamforming in mm-Wave 5G Networks, Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne vol. XCII, No. 4 (2023), 382 - 386
850.
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
849.
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
848.
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
847.
ProPML: Probability Partial Multi-label Learning, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 1-8
846.
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
845.
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
844.
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
843.
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
842.
Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
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
841.
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
840.
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
839.
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], (2023),
838.
Przemysław Spurek, Marcin Sendera, Marcin Przewięźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor
837.
Maciej Skwirczyński, Zbisław Tabor, Julia Lasek, Zofia Schneider, Sebastian Gibała, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz
836.
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
835.
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
834.
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
833.
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
832.
Numerical analysis of a non-clamped dynamic thermoviscoelastic contact problem, Nonlinear Analysis: Real World Applications vol. 73 (2023) (2023), 20 stron, nr 103870
831.
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
830.
829.
Bounding Evidence and Estimating Log-Likelihood in VAE, International Conference on Artificial Intelligence and Statistics [AISTATS](MAIN) vol. 206 (2023), 5036-5051
828.
827.
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
826.
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
825.
Morawiecki Paweł, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja
Hebbian Continual Representation Learning, Hawaii International Conference on System Sciences [HICSS], (2023), 1259-1268
824.
Adrian Hill, Zachary Lebo, Miroslaw Andrejczuk, Sylwester Arabas, Piotr Dziekan, Paul Field, Andrew Gettelman, Fabian Hoffmann, Hanna Pawlowska, Ryo Onishi, Benoit Vié
823.
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
822.
Jakub Banaśkiewicz, Alexandre Nolasco de Carvalho, Juan Garcia-Fuentes, Piotr Kalita
821.
Daniel Wilczak, Maciej Capiński, Warwick Tucker, Jason D. Mireles James, Jan Bouwe van den Berg
820.
819.
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts, IEEE Workshop on Applications of Computer Vision [WACV](MAIN) vol. 2023 (2023), 1481-1492
818.
SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846
817.
Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Dorota Ochońska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Włoch
816.
2022
815.
Jarosław Duda, Marcin Niemiec
814.
Jarosław Duda, Józef Pieprzyk, Marcin Pawłowski, Seyit Camtepe, Morawiecki Paweł, Arash Mahboubi
The Compression Optimality of Asymmetric Numeral Systems, Entropy vol. 25(4) (2022), 672
813.
Marcin Żelawski, Grzegorz Migdałek
812.
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
811.
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 (2022), 631-646
810.
Adam Roman, Jakub Gomułka
809.
808.
807.
Jakub Hryc, Robert Szczelina, Michał Markiewicz, Marta Pasenkiewicz-Gierula
806.
Romuald A. Janik, Igor Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fąfrowicz
805.
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
804.
Jarosław Żygierewicz, Romuald A. Janik, Igor Podolak, Alan Drozd, Urszula Malinowska, Martyna Poziomska, Jakub Wojciechowski, Paweł Ogniewski, Paweł Niedbalski, Iwona Terczyńska, Jacek Rogala
803.
802.
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
801.
Rafał Kucharski, Cats Oded , Jaime Soza-Parra
800.
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),
799.
798.
Przemysław Spurek, Przemysław Stachura, Ivan Kostiuk, Sławomir K. Tadeja, Tomasz Trzciński
797.
796.
795.
Tomasz Danel, Agnieszka Wojtuch, Sabina Podlewska
794.
Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
Disentangling Transfer in Continual Reinforcement Learning, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2022),
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.
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 (2022), 13–24
788.
787.
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),
786.
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
785.
Batch size reconstruction-distribution trade-off in kernel based generative autoencoders, IEEE International Conference on Image Processing [ICIP], (2022), 3728-3732
784.
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
783.
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),
782.
Nonlinear Weighted Independent Component Analysis, International Conference on Information Processing and Management of Uncertainty [IPMU] vol. II (2022), 3–16
781.
Target layer regularization for continual learning using Cramer-Wold distance, Information Sciences vol. 609 (2022), 1369-1380
780.
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
779.
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
778.
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
777.
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
776.
Naumov Vitalii, Olha Shulika, Oleksandra Orda, Hanna Vasiutina, Marek Bauer, Myroslav Oliskevych
775.
Rafał Kucharski, Cats Oded
Simulating two-sided mobility platforms with MaaSSim, PLoS One vol. 17(6) (2022), e0269682
774.
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
773.
LocoGAN—Locally convolutional GAN, Computer Vision and Image Understanding vol. 221 (2022), 103462
772.
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
771.
Michael Olesik, Jakub Banaśkiewicz, Piotr Bartman-Szwarc, Manuel Baumgartner, Simon Unterstrasser, Sylwester Arabas
770.
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
769.
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
768.
Maciej Capiński, Marcel Guardia, Pau Martin , Tere Seara, Piotr Zgliczyński
767.
766.
Łukasz Borchmann, Łukasz Garncarek, Michał Pietruszka
Sparsifying Transformer Models with Trainable Representation Pooling, Association of Computational Linguistics [ACL](MAIN), (2022),
765.
Weakly-supervised cell classification for effective High Content Screening, International Conference on Computational Science [ICCS](MAIN) vol. Lecture Notes in Computer Science 13350 (2022), 318–330
764.
Dominika Basaj, Witold Oleszkiewicz, Tomasz Trzciński, Bartosz Zieliński
Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?, International Conference on Computational Science [ICCS](MAIN) vol. Lecture Notes in Computer Science 13350 (2022), 331–344
763.
Reliability- and Availability-aware Mapping of Service Function Chains in Softwarized 5G Networks vol. Lecture Notes in Networks and Systems, book series (LNNS, volume 484) (2022), "Theory and Engineering of Dependable Computer Systems and Networks", Springer
762.
761.
Generative models with kernel distance in data space, Neurocomputing vol. 487 (2022), 119-129
760.
Marian Mrozek, Roman Srzednicki, Justin Thorpe, Thomas Wanner
Combinatorial vs. classical dynamics: Recurrence, Communications in Nonlinear Science and Numerical Simulation vol. 108 (2022), 106226, 1-30
759.
Banet Krystian, Rafał Kucharski, Naumov Vitalii
Using city-bike stopovers to reveal spatial patterns of urban attractiveness, Current Issues in Tourism vol. 25:18 (2022), 2887-2904
758.
Fielbaum Andres, Alonso-Mora Javier, Rafał Kucharski, Cats Oded
How to split the costs and charge the travellers sharing a ride? aligning system’s optimum with users’ equilibrium, European Journal of Operational Research vol. Volume 301, Issue 3 (2022), 956-973
757.
MisConv: Convolutional Neural Networks for Missing Data, IEEE Workshop on Applications of Computer Vision [WACV], (2022), 2060-2069
756.
Łukasz Struski, Jacek Tabor, Szymon Bobek, Sławomir K. Tadeja, Przemysław Stachura, Timoleon Kipourus, Grzegorz Nalepa, Per Ola Kristensson
755.
Elżbieta Adamus, Paweł Bogdan
754.
753.
2021
752.
751.
750.
Wojciech Masarczyk , Kamil Deja, Tomasz Trzciński
On robustness of generative representations against catastrophic forgetting, (2021), "Neural Information Processing : 28th International Conference, ICONIP 2021 : Sanur, Bali, Indonesia, December 8-12, 2021 : proceedings, part IV", Springer
749.
Ivona Tautkute , Tomasz Trzciński
SynthTriplet GAN : synthetic query expansion formultimodal retrieval, (2021), "Neural Information Processing : 28th International Conference, ICONIP 2021 : Sanur, Bali, Indonesia, December 8-12, 2021 : proceedings, part IV", Springer
748.
Michał Markiewicz, Marta Pasenkiewicz-Gierula, Robert Szczelina
747.
746.
Arkadiusz Drabicki, Rafał Kucharski, Cats Oded
Mitigating bus bunching with real-time crowding information, Transportation vol. 2022 (2021), 28
745.
Zięba Maciej , Przemysław Spurek, Jacek Tabor, Tomasz Trzciński
744.
Łukasz Lepak, Robert Nowak, Karol Piczak, Kacper Radzikowski
743.
Michał Markiewicz, Bożena Milanovič (Z), Marta Pasenkiewicz-Gierula, Witold K. Subczynski, Robert Szczelina
742.
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders, International Conference on Tools with Artificial Intelligence [ICTAI], (2021), 1322-1326
741.
Missing Glow Phenomenon: learning disentangled representation of missing data, International Conference on Neural Information Processing [ICONIP] vol. vol 1516 (2021), 196-204
740.
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Przemysław Spurek, Tomasz Trzciński, Zięba Maciej
Non-Gaussian Gaussian Processes for Few-Shot Regression, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 10285-10298
739.
Teresa Crespo, Zbigniew Hajto, Rouzbeh Mohseni
Real Liouvillian Extensions of Partial Differential Fields, Symmetry Integrability and Geometry-Methods and Applications vol. 17 (2021), Article number 095
738.
Łukasz Kuciński, Piotr Miłoś, Razvan Pascanu, Maciej Wołczyk, Michał Zając
Continual World: A Robotic Benchmark For Continual Reinforcement Learning, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2021),
737.
Klaudia Bałazy, Igor Podolak, Marek Śmieja, Jacek Tabor, Tomasz Trzciński, Maciej Wołczyk, Bartosz Wójcik
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 1-13
736.
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