Instytut Informatyki i Matematyki Komputerowej - lista publikacji
Nadjednostka:
Podjednostki:
1-200 z 778.
2022
778.
777.
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
776.
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
775.
Bartosz Zieliński, Adam Pardyl, Dawid Rymarczyk, Zbisław Tabor
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes, International Conference on Neural Information Processing [ICONIP](MAIN), (2022),
774.
Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Dorota Ochońska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Włoch
773.
772.
Piotr Bartman, 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),
771.
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), accepted
770.
Batch size reconstruction-distribution trade-off in kernel based generative autoencoders, IEEE International Conference on Image Processing [ICIP], (2022), accepted
769.
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
768.
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),
767.
Nonlinear Weighted Independent Component Analysis, International Conference on Information Processing and Management of Uncertainty [IPMU] vol. II (2022), 3–16
766.
Target layer regularization for continual learning using Cramer-Wold distance, Information Sciences vol. 609 (2022), 1369-1380
765.
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
764.
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
763.
Jarosław Duda, Seyit Camtepe, Arash Mahboubi, Morawiecki Paweł, Surya Nepal, Marcin Pawłowski, Józef Pieprzyk
762.
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), (2022),
761.
Naumov Vitalii, Olha Shulika, Oleksandra Orda, Hanna Vasiutina, Marek Bauer, Myroslav Oliskevych
760.
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), (2022),
759.
LocoGAN—Locally convolutional GAN, Computer Vision and Image Understanding vol. 221 (2022), 103462
758.
Piotr Bartman, 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
757.
Michael Olesik, Jakub Banaśkiewicz, Piotr Bartman, Manuel Baumgartner, Simon Unterstrasser, Sylwester Arabas
756.
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
755.
Rafał Kurczab, Zięba Maciej , Łukasz Maziarka, Magdalena Proszewska, Marek Śmieja, Patryk Wielopolski, Maciej Wołczyk
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
754.
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, 2022
753.
Maciej Capiński, Marcel Guardia, Pau Martin , Tere Seara, Piotr Zgliczyński
752.
751.
Łukasz Borchmann, Łukasz Garncarek, Michał Pietruszka
Sparsifying Transformer Models with Trainable Representation Pooling, Association of Computational Linguistics [ACL](MAIN), (2022),
750.
Weakly-supervised cell classification for effective High Content Screening, International Conference on Computational Science [ICCS](MAIN), (2022),
749.
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), (2022),
748.
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
747.
746.
745.
Generative models with kernel distance in data space, Neurocomputing vol. 487 (2022), 119-129
744.
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
743.
MisConv: Convolutional Neural Networks for Missing Data, IEEE Workshop on Applications of Computer Vision [WACV], (2022), 2060-2069
742.
Sławomir Sławomir K Tadeja, Przemysław Stachura, Timoleon Kipouros
741.
Elżbieta Adamus, Paweł Bogdan
740.
2021
739.
Rafał Kucharski, Cats Oded
738.
Michał Markiewicz, Marta Pasenkiewicz-Gierula, Robert Szczelina
737.
736.
Arkadiusz Drabicki, Rafał Kucharski, Cats Oded
Mitigating bus bunching with real-time crowding information, Transportation vol. 2022 (2021), 28
735.
Banet Krystian, Rafał Kucharski, Naumov Vitalii
734.
Fielbaum Andres, Alonso-Mora Javier, Rafał Kucharski, Cats Oded
733.
732.
Łukasz Lepak, Robert Nowak, Karol Piczak, Kacper Radzikowski
731.
Michał Markiewicz, Bożena Milanovič (Z), Marta Pasenkiewicz-Gierula, Witold K. Subczynski, Robert Szczelina
730.
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders, International Conference on Tools with Artificial Intelligence [ICTAI], (2021), 1322-1326
729.
Missing Glow Phenomenon: learning disentangled representation of missing data, International Conference on Neural Information Processing [ICONIP] vol. vol 1516 (2021), 196-204
728.
Andrzej Bedychaj, Zięba Maciej , Aleksandra Nowak, Massimiliano Patacchiola, Marcin Sendera, Przemysław Spurek, Jacek Tabor, Tomasz Trzciński
Non-Gaussian Gaussian Processes for Few-Shot Regression, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 10285-10298
727.
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
726.
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),
725.
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
724.
Łukasz Borchmann, Jurkiewicz Dawid, Filip Graliński, Michał Pietruszka, Tomasz Stanisławek, Karolina Szyndler, Michał Turski
DUE: End-to-End Document Understanding Benchmark, Advances in Neural Information Processing Systems [NeurIPS], (2021),
723.
Designing Urban Transit Network using Memetic Algorithm, IEEE Congress on Evolutionary Computation [CEC], (2021), 343-350
722.
Gopal Bhatta, Jarosław Duda
721.
Jarosław Duda, Henryk Gurgul, Robert Syrek
720.
Arash Mahboubi, Seyit Camtepe, Jarosław Duda, Surya Nepal, Morawiecki Paweł, Józef Pieprzyk
719.
Dawid Warszycki, Łukasz Struski, Marek Śmieja, Rafał Kafel, Rafał Kurczab
718.
Deep Learning for Modulation Classification in Two-tier Cognitive Femtocell Networks vol. Lecture Notes in Networks and Systems, LNNS, Vol. 359 (2021), "Future Technologies Conference 2021, Vol. 2", Springer
717.
Kacper Łasocha, Elżbieta Richter-Wąs, Michał Sadowski, Zbigniew Wąs
716.
Continual Learning of 3D Point Cloud Generators, International Conference on Neural Information Processing [ICONIP] vol. vol 13108 (2021), 330-341
715.
Michał Górszczak, Bartosz Zieliński
What Pushes Self-Supervised Image Representations Away?, International Conference on Neural Information Processing [ICONIP](MAIN) vol. Communications in Computer and Information Science 1516 (2021), 514-521
714.
Rafał Jankowski, Sabina Podlewska, Agnieszka Wojtuch
How can SHAP values shape the metabolic stability?, Journal of Cheminformatics vol. 13 (2021), Article number: 74
713.
Andrzej Bojarski, Rafał Kurczab, Stefan Mordalski, Igor Podolak, Agnieszka Wojtuch
2D SIFt: a matrix of ligand-receptor interactions, Journal of Cheminformatics vol. 13 (2021), Article number: 66
712.
Karl Aberer, Klaudia Bałazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor
Direction is what you need: Improving Word Embedding Compression in Large Language Models, Proceedings of the 6th Workshop On Representation Learning for Nlp (repl4nlp-2021) (2021), 322–330
711.
Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras, Kangning Liu, Nan Wu, Shen Yiqiu
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis, Proceedings of Machine Learning Research (2021),
710.
The Slow-Coloring Game on Sparse Graphs: k-Degenerate, Planar, and Outerplanar, Journal of Combinatorics vol. 12 (2021) (2021), 283 – 302
709.
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanisław Szufa
Putting a Compass on the Map of Elections, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 59-65
708.
Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Dawid Rymarczyk, Bartosz Zieliński
Comparison of Supervised and Self-supervised Deep Representations Trained on Histological Image, World Congress on Medical and Health Informatics [MEDINFO] vol. Studies in Health Technology and Informatics 290 (2021), 1052-1053
707.
706.
On the Design of Monte-Carlo Particle Coagulation Solver Interface: A CPU/GPU Super-Droplet Method Case Study with PySDM, International Conference on Computational Science [ICCS] vol. 12743 (2021), 16-30
705.
Marek Skomorowski, Maciej Skwirczyński, Wadim Wojciechowski
704.
Łukasz Borchmann, Jurkiewicz Dawid, Tomasz Dwojak, Pałka Gabriela, Michał Pietruszka, Powalski Rafał
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer, IEEE International Conference on Document Analysis and Recognition [ICDAR], (2021),
703.
Bartosz Bohaterewicz, Adrian Chrobak, Dominika Dudek, Magdalena Fafrowicz, Tadeusz Marek, Dagmara Mętel, Igor Podolak, Marcin Siwek, Anna Sobczak, Bartosz Wójcik
702.
Robust Learning-Augmented Caching: An Experimental Study, International Conference on Machine Learning [ICML], (2021), 1920-1930
701.
Ella Barkan, Sardius Chen, Jakub Chłędowski, Linda Du, Sushma Gaddam, Krzysztof J. Geras, Flora Gilboa-Solomon, Julia Goldberg, Pablo Gómez del Campo, Sana Hava, Laura Heacock, Daniel Khapun, Eric Kim, Jiyon Lee, Alana Lewin, Robert Martí, Alexandra Millet, Linda Moy, Sindhoora Murthy, Ujas Parikh, Jungkyu Park, Shalin Patel, Anastasia Plaunova, Kristine Pysarenko, Vadim Ratner, Beatriu Reig, Michal Rosen-Zvi, Yoel Shoshan, Melanie Wegener, Jan Witowski, Stacey Wolfson, Aviad Zlotnick
Lessons from the first DBTex Challenge, (2021), 1-2
700.
Tomasz Danel, Agnieszka Galanty, Igor Podolak, Irma Podolak, Michał Węgrzyn
699.
HuggingMolecules: an open-source library for transformer-based molecular property prediction, International Conference On Learning Representations (workshop Track) (2021),
698.
Multitask Learning Using BERT with Task-Embedded Attention, IEEE International Joint Conference on Neural Networks [IJCNN], (2021),
697.
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction, IEEE International Joint Conference on Neural Networks [IJCNN], (2021), 1-8
696.
695.
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification, ACM International Conference on Knowledge Discovery and Data Mining [KDD](MAIN), (2021), 1420-1430
694.
Dominika Basaj, Michał Górszczak, Witold Oleszkiewicz, Barbara Rychalska, Igor Sieradzki, Tomasz Trzcinski, Bartosz Zieliński
Explaining Self-Supervised Image Representations with Visual Probing, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 592-598
693.
Deep learning classification of bacteria clones explained by persistence homology, IEEE International Joint Conference on Neural Networks [IJCNN], (2021), 1-8
692.
Semi-Markov Model of Processing Requests Reliability and Availability in Mobile Cloud Computing Systems vol. Advances in Intelligent Systems and Computing, book series (AISC, volume 1389) (2021), "Theory and Engineering of Dependable Computer Systems and Networks", Springer
691.
690.
Rigorous FEM for 1D Burgers Equation, SIAM Journal on Applied Dynamical Systems vol. 20 (2021), 853–907
689.
Kamil Deja, Jan Dubiński, Piotr Nowak, Przemysław Spurek, Tomasz Trzciński, Sandro Wenzel
End-to-End Sinkhorn Autoencoder With Noise Generator, IEEE Access vol. 9 (2021), 7211-7219
688.
Isometric models for separable groups with a bi-invariant metric, Topology and its Applications vol. 289C (2021), 107486, 10 pages
687.
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning, IEEE Workshop on Applications of Computer Vision [WACV], (2021), 1720-1729
686.
685.
Łukasz Borchmann, Filip Graliński, Michał Pietruszka
Successive Halving Top-k Operator, National Conference of the American Association for Artificial Intelligence [AAAI], (2021),
684.
Anna Denkowska, Piotr Gwiazda, Piotr Kalita
On renormalized solutions to elliptic inclusions with nonstandard growth, Calculus of Variations and Partial Differential Equations vol. 60 (2021), Article number: 21
683.
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder, IEEE Transactions on Neural Networks and Learning Systems vol. 32/9 (2021), 3930-3941
682.
Persistence codebooks for topological data analysis, Artificial Intelligence Review vol. 54 (3) (2021), 1969-2009
2020
681.
Jarosław Duda, Adam Szulc
Social Benefits Versus Monetary and Multidimensional Poverty in Poland: Imputed Income Exercise, Advances in Cross-section Data Methods in Applied Economic Research (2020),
680.
On the weighted k-path vertex cover on interval graphs, Schedae Informaticae vol. 29 (2020), 9-21
679.
Gregory S. Duane, Witold Dzwinel, Marcin Sendera
Supermodeling: the next level of abstraction in the use of data assimilation, International Conference on Computational Science [ICCS] vol. vol. Lecture Notes in Computer Science book series (LNCS, vol. 12142) (2020), 133-147
678.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch
677.
Adam Roman, Lucjan Stapp
676.
Piotr Kalita, Grzegorz Łukaszewicz, Jakub Siemianowski
Nonlinear Semigroups and Their Perturbations in Hydrodynamics. Three Examples vol. 325 (2020), "Semigroups of Operators – Theory and Applications ", Springer
675.
Jarosław Duda, Henryk Gurgul, Robert Syrek
674.
Tamal K. Dey, Marian Mrozek, Ryan Slechta
Persistence of the Conley Index in Combinatorial Dynamical Systems, International Symposium on Computational Geometry [SoCG] vol. 36 (2020), 37:1-37:17
673.
Ulrich Bauer, Herbert Edelsbrunner, Grzegorz Jabłoński, Marian Mrozek
672.
Tomasz Konopczyński, Michał Koperski, Rafał Nowak, Piotr Semberecki, Tomasz Trzciński
Plugin Networks for Inference under Partial Evidence, IEEE Workshop on Applications of Computer Vision [WACV], (2020),
671.
Matteo Caggio, Piotr Kalita, Grzegorz Łukaszewicz, Krzysztof Mizerski
Vertical heat transport at infinite Prandtl number for micropolar fluid, Archives of Mechanics vol. 72 (2020), 525-553
670.
669.
Resource Allocation for Broadband Links of IoT in Fog Networks, Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne vol. No. 7 - 8 (2020), 254 – 258
668.
Packet Scheduler for URLLC and eMBB Traffics in 5G Wireless Networks, Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne vol. No. 7 - 8 (2020), 216 - 219
667.
Deep Learning for QoS-Aware Resource Allocation in Cognitive Radio Networks, Lecture Notes in Computer Science vol. 12144 (2020), 312 - 323
666.
Reliability Enhancement of URLLC Traffic in 5G Cellular Networks vol. Communications in Computers and Information Science, Vol. 1231 (2020), "Computer Networks", Springer
665.
Unsupervised Features Learning for Sampled Vector Fields, SIAM Journal on Applied Dynamical Systems vol. 19(4) (2020), 2720-2736
664.
663.
Kubica-Misztal Aleksandra , Martyna Durak-Kozica, Marcin Hartel, Krzysztof Misztal, Michał Wątor, Agnieszka Wojtuch
662.
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models, European Symposium on Artificial Neural Networks [ESANN], (2020), 6
661.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model, International Conference on Neural Information Processing [ICONIP] vol. Lecture Notes in Computer Science volume 12534 (2020), 220-231
660.
Iterative Imputation of Missing Data using Auto-encoder Dynamics, International Conference on Neural Information Processing [ICONIP] vol. Lecture Notes in Computer Science, volume 12534 (2020), 258-269
659.
Processing of Incomplete Images by (Graph) Convolutional Neural Networks, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science, volume 12533 (2020), 512-523
658.
Tomasz Danel, Przemysław Spurek, Jacek Tabor, Marek Śmieja, Łukasz Struski, Agnieszka Słowik, Łukasz Maziarka
Spatial Graph Convolutional Networks, International Conference On Neural Information Processing vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
657.
Non-linear ICA based on Cramer-Wold metric, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 12534) (2020),
656.
Krzysztof Galias, Silviu Homoceanu, Adam Jakubowski, Henryk Michalewski, Piotr Miłoś, Błażej Osiński, Paweł Zięcina
Simulation-Based Reinforcement Learning for Real-World Autonomous Driving, IEEE International Conference on Robotics and Automation [ICRA], (2020), 6411-6418
655.
Zięba Maciej , Przemysław Spurek, Jacek Tabor, Tomasz Trzciński, Sebastian Winczowski, Maciej Zamorski
Hypernetwork approach to generating point clouds, International Conference on Machine Learning [ICML](MAIN), (2020),
654.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
653.
Yoshua Bengio, Leonard Boussioux, Maxime Chevalier-Boisvert, Bahdanau Dzmitry, David Yu-Tung Hui, Chitwan Saharia, Konrad Żołna
Combating False Negatives in Adversarial Imitation Learning, National Conference of the American Association for Artificial Intelligence [AAAI], (2020), 13999-14000
652.
Leakage-Robust Classifier via Mask-Enhanced Training, National Conference of the American Association for Artificial Intelligence [AAAI], (2020), 13923-13924
651.
Can auto-encoders help with filling missing data?, International Conference On Learning Represenation (workshop Track) (2020), 6
650.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model, International Conference On Machine Learning (workshop Track) (2020), 6
649.
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
Drawing a map of elections in the space of statistical cultures, International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000) [AAMAS](MAIN), (2020), 1341-1349
648.
Łukasz Borchmann, Jakub Chłędowski, Tomasz Dwojak, Filip Graliński, Michał Pietruszka
From Dataset Recycling to Multi-Property Extraction and Beyond, Conference on Computational Natural Language Learning [CoNLL] vol. Proceedings of the 24th Conference on Computational Natural Language Learning (2020),
647.
Finding the Optimal Network Depth in Classification Tasks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) [ECML PKDD], (2020),
646.
Devansh Arpit, Kyunghyun Cho, Stanislav Fort, Krzysztof J. Geras, Stanisław Jastrzębski, Maciej Szymczak, Jacek Tabor
The Break-Even Point on Optimization Trajectories of Deep Neural Networks, 8th International Conference On Learning Representations (2020),
645.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch
644.
Olivier Bachem, Olivier Bousquet, Lasse Espeholt, Sylvain Gelly, Karol Kurach, Marcin Michalski, Anton Raichuk, Carlos Riquelme, Piotr Stańczyk, Damien Vincent, Michał Zając
Google Research Football: A Novel Reinforcement Learning Environment, Proceedings of the Aaai Conference On Artificial Intelligence vol. Vol 34 No 04 (2020), 4501-4510
643.
642.
Processing of incomplete images by (graph) convolutional neural networks, International Conference On Machine Learning (workshop Track) (2020),
641.
Flow-based SVDD for anomaly detection, International Conference On Machine Learning (workshop Track) (2020),
640.
Roberto Barrio, Daniel Wilczak
639.
Monika Brzychczy-Włoch, Adam Piekarczyk, Dawid Rymarczyk, Agnieszka Sroka-Oleksiak, Bartosz Zieliński
638.
Szabolcs Tengely, Maciej Ulas, Jakub Zygadło
On a Diophantine equation of Erdos and Graham, Journal of Number Theory vol. 217 (2020), 445-459
637.
636.
Piotr Kalita, Grzegorz Łukaszewicz
635.
Leszek Gasiński, Piotr Kalita
634.
Kubica-Misztal Aleksandra , Krzysztof Misztal, Tomasz Służalec
633.
Piotr Bugiel, Beata Rzepka, Stanisław Wędrychowicz
632.
Marek Śmieja, Łukasz Struski, Mario A.T. Figueiredo
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints, Neural Networks vol. 127 (2020), 193-203
631.
630.
Andrzej Antoł, Marcin Czarnołęski, Terézia Horváthová, Jan Kozłowski, Anna Łabecka, Anna Peciod, Natalia Szabla, Yaroslav Vasko, Bartosz Zieliński
629.
Piotr Dziurdzia, Tomasz Konieczny, Liliana Kowalczyk, Michał Markiewicz, Marek Skomorowski, Thomas Skotnicki, PASCAL URARD
Software Controlled Low Cost Thermoelectric Energy Harvester for Ultra-Low Power Wireless Sensor Nodes, IEEE Access vol. 8 (2020), 38920-38930
628.
Haras Maciej, Michał Markiewicz, Stéphane Monfray, Thomas Skotnicki
627.
Boolean algebra of one-point local compactifications, Journal of Mathematics and Applications vol. 43 (2020), 113-121
626.
Jonathan Ariel Barmak, Marian Mrozek, Thomas Wanner
A Lefschetz fixed point theorem for multivalued maps of finite spaces, Mathematische Zeitschrift vol. 294 (2020), 1477–1497
625.
Conley Index Approach to Sampled Dynamics, SIAM Journal on Applied Dynamical Systems vol. 19-1 (2020), 665-704
624.
623.
Krzysztof Baczyński, Michał Markiewicz, Marta Pasenkiewicz-Gierula, Robert Szczelina
622.
Bogdan Batko, Tomasz Kaczynski, Marian Mrozek, Thomas Wanner
621.
Pointed subspace approach to incomplete data, Journal of Classification vol. 37 (2020), 42-57
620.
Sylwester Arabas, Ahmad Farhat
619.
618.
Everaldo de Mello Bonotto, Piotr Kalita
On attractors of generalized semiflows with impulses, Journal of Geometric Analysis vol. 30 (2020), 1412-1449
2019
617.
Stanisław Jastrzębski, Maciej A. Nowak, Jacek Tabor, Wojciech Tarnowski, Piotr Warchoł
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function, International Conference on Artificial Intelligence and Statistics [AISTATS], (2019), 10
616.
Downlink Power Allocation in Delta-OMA (D-OMA) 6G Networks, Lecture Notes in Computer Science vol. 11660 (2019), 390 - 401
615.
Optimal Spectrum Sharing in RF Energy Harvesting Cognitive Femtocell Networks vol. Communications in Computers and Information Science (CCIS, Vol. 1039) (2019), "Computer Networks", Springer
614.
613.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
Classifier-Agnostic Saliency Map Extraction, National Conference of the American Association for Artificial Intelligence [AAAI], (2019), 10087-10088
612.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
Adversarial framing for image and video classification, National Conference of the American Association for Artificial Intelligence [AAAI], (2019), 10077-10078
611.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
610.
Generalized RBF kernel for incomplete data, Knowledge-Based Systems vol. 173 (2019), 150-162
609.
Mikołaj Bocheński, Tomasz Konieczny, Liliana Kowalczyk, Michał Markiewicz, Waldemar Tabaczyński, Maciej Wielgosz
608.
607.
606.
Variational Auto-Encoders for Generating Feature-Preserving Automata, Proceedings of Ncma 2019, Books@ocg.at (austrian Computer Society) (2019), 171-185
605.
Teresa Crespo, Zbigniew Hajto
Picard -Vessiot Extensions of Real Differential Fields, Symmetry Integrability and Geometry-Methods and Applications vol. Volume 15, 100 (2019), 11pages
604.
603.
602.
Set Aggregation Network as a Trainable Pooling Layer, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
601.
Molecule-Augmented Attention Transformer, Neural Information Processing Systems (workshop Track) (2019),
600.
Leszek Gasiński, Nikolaos S. Papageorgiou, Krzysztof Winowski
Positive Solutions for Nonlinear Robin Problems with Concave Terms, Journal of Convex Analysis vol. 26 (4) (2019), 1145-1174
599.
Jan Kaczmarczyk, Łukasz Maziarka, Krzysztof Rataj, Michał Warchoł, Agnieszka Wojtuch
Mol-CycleGAN - A Generative Model for Molecular Optimization, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 810-816
598.
Hypernetwork Functional Image Representation, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 496-510
597.
Distribution-Interpolation Trade off in Generative Models, International Conference On Learning Representations (2019),
596.
Persistence bag-of-words for topological data analysis, Proceedings of the 28th International Joint Conference On Artificial Intelligence (ijcai 2019) (2019), 4489-4495
595.
Piotr Faliszewski, Piotr Skowron, Stanisław Szufa, Nimrod Talmon
Proportional Representation in Elections: STV vs PAV, Proceedings of the 18th International Conference On Autonomous Agents and Multiagent Systems (2019), 1946-1948
594.
Tomasz Gąciarz, Marek Skomorowski, Maciej Skwirczyński, Wadim Wojciechowski
593.
592.
Piotr Kalita, Meir Shillor, Paweł Szafraniec
591.
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
How Similar Are Two Elections?, Aaai (2019), 1909-1916
590.
589.
Maciej Brzeski, Hubert Dryja, Paweł Gora, Karnas Katarzyna, Arkadiusz Klemenko, Adrian Kochański, Dawid Kopczyk, Magdalena Kukawska, Marcin Możejko, Przemysław Przybyszewski
Solving Traffic Signal Setting Problem Using Machine Learning, International Conference On Models and Technologies for Intelligent Transportation Systems (2019),
588.
Piotr Kalita, Jose A. Langa, Fernando Soler-Toscano
587.
Elżbieta Adamus, Teresa Crespo, Zbigniew Hajto
Jacobian Conjecture via Differential Galois Theory, Symmetry Integrability and Geometry-Methods and Applications vol. Volume 15, 034 (2019), 7 pages
586.
Projected memory clustering, Pattern Recognition Letters vol. 123 (2019), 9-15
585.
Elżbieta Adamus, Paweł Bogdan, Teresa Crespo, Zbigniew Hajto
Pascal finite polynomial automorphisms, Journal of Algebra and its Applications vol. Vol 18 No 7, ID 1950124 (2019), 1-10
584.
Persistent Homology of Morse Decompositions in Combinatorial Dynamics, SIAM Journal on Applied Dynamical Systems vol. 18-1 (2019), 510-530
583.
A quantitative version of the theorem on Khintchine's constant, Indagationes Mathematicae vol. Vol. 30 (4) (2019), 649-668
582.
581.
Piotr Kalita, Jose A. Langa, Grzegorz Łukaszewicz
Micropolar meets Newtonian. The Rayleigh–Bénard problem, Physica D: Nonlinear Phenomena vol. 392 (2019), 57-80
580.
Piotr Kalita, Grzegorz Łukaszewicz, Jakub Siemianowski
579.
Online updating of active function cross-entropy clustering, Pattern Analysis and Applications vol. vol. 22 no. 4 (2019), 1409-1425