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2020 – today
- 2024
[j40]Lukasz Struski
, Szymon Janusz, Jacek Tabor, Michal Markiewicz, Arkadiusz Lewicki:
Multiple instance learning for medical image classification based on instance importance. Biomed. Signal Process. Control. 91: 105874 (2024)- [j39]Krzysztof Byrski, Jacek Tabor, Przemyslaw Spurek:
Gaussian model for closed curves. Expert Syst. Appl. 249: 123615 (2024) - [j38]Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski:
Relative molecule self-attention transformer. J. Cheminformatics 16(1): 3 (2024) - [j37]Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja:
Augmentation-aware self-supervised learning with conditioned projector. Knowl. Based Syst. 305: 112572 (2024) - [j36]Lukasz Struski, Michal Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak:
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12068-12082 (2024) - [c57]Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI 2024: 21563-21573 - [c56]Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
RegFlow: Probabilistic Flow-Based Regression for Future Prediction. ACIIDS (Companion 2) 2024: 267-279 - [c55]Wojciech Zajac, Joanna Waczynska, Piotr Borycki, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek:
NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering. ICCS (1) 2024: 346-361 - [c54]Aleksandra Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor:
Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization. ICML 2024 - [c53]Andrzej Bedychaj, Jacek Tabor, Marek Smieja:
StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN. PAKDD (2) 2024: 118-130 - [c52]Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja:
Face Identity-Aware Disentanglement in StyleGAN. WACV 2024: 5210-5219 - [i96]Joanna Waczynska, Piotr Borycki, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek:
GaMeS: Mesh-Based Adapting and Modification of Gaussian Splatting. CoRR abs/2402.01459 (2024) - [i95]Georgii Stanishevskii, Jakub Steczkiewicz, Tomasz Szczepanik, Slawomir Konrad Tadeja, Jacek Tabor, Przemyslaw Spurek:
ImplicitDeepfake: Plausible Face-Swapping through Implicit Deepfake Generation using NeRF and Gaussian Splatting. CoRR abs/2402.06390 (2024) - [i94]Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. CoRR abs/2403.07603 (2024) - [i93]Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. CoRR abs/2405.14331 (2024) - [i92]Klaudia Balazy, Mohammadreza Banaei, Karl Aberer, Jacek Tabor:
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters. CoRR abs/2405.17604 (2024) - [i91]Artur Kasymov, Bartosz Czekaj, Marcin Mazur, Jacek Tabor, Przemyslaw Spurek:
NegGS: Negative Gaussian Splatting. CoRR abs/2405.18163 (2024) - [i90]Aleksandra Irena Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor:
Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization. CoRR abs/2406.01755 (2024) - [i89]Magdalena Tredowicz, Lukasz Struski, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor:
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. CoRR abs/2406.11443 (2024) - [i88]Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja:
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets. CoRR abs/2406.18739 (2024) - [i87]Mateusz Poleski, Jacek Tabor, Przemyslaw Spurek:
GeoGuide: Geometric guidance of diffusion models. CoRR abs/2407.12889 (2024) - [i86]Lukasz Struski, Jacek Tabor:
InfoDisent: Explainability of Image Classification Models by Information Disentanglement. CoRR abs/2409.10329 (2024) - [i85]Patryk Krukowski, Daniel Wilczak, Jacek Tabor, Anna Bielawska, Przemyslaw Spurek:
Make Interval Bound Propagation great again. CoRR abs/2410.03373 (2024) - [i84]Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek:
FreSh: Frequency Shifting for Accelerated Neural Representation Learning. CoRR abs/2410.05050 (2024) - [i83]Andrzej Bedychaj, Jacek Tabor, Marek Smieja:
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN. CoRR abs/2412.20164 (2024) - 2023
- [j35]Marcin Sendera, Marcin Przewiezlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
The general framework for few-shot learning by kernel HyperNetworks. Mach. Vis. Appl. 34(4): 53 (2023) - [j34]Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski:
Zero time waste in pre-trained early exit neural networks. Neural Networks 168: 580-601 (2023) - [c51]Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor:
Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS 2023: 5036-5051 - [c50]Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. DSAA 2023: 1-8 - [c49]Mohammadreza Banaei, Klaudia Balazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer:
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models. EACL (Findings) 2023: 1743-1760 - [c48]Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski:
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI 2023: 2210-2217 - [c47]Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor:
r-softmax: Generalized Softmax with Controllable Sparsity Rate. ICCS (2) 2023: 137-145 - [c46]Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor:
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. NeurIPS 2023 - [c45]Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja:
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. ECML/PKDD (3) 2023: 36-52 - [c44]Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja:
Contrastive Hierarchical Clustering. ECML/PKDD (1) 2023: 627-643 - [c43]Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski:
Hypernetworks Build Implicit Neural Representations of Sounds. ECML/PKDD (4) 2023: 661-676 - [c42]Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV 2023: 1481-1492 - [c41]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. WACV 2023: 2468-2477 - [c40]Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski:
SONGs: Self-Organizing Neural Graphs. WACV 2023: 3837-3846 - [i82]Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR abs/2301.12276 (2023) - [i81]Mohammadreza Banaei, Klaudia Balazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer:
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models. CoRR abs/2302.04045 (2023) - [i80]Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski:
Hypernetworks build Implicit Neural Representations of Sounds. CoRR abs/2302.04959 (2023) - [i79]Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja:
Contrastive Hierarchical Clustering. CoRR abs/2303.03389 (2023) - [i78]Wojciech Zajac, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek:
NeRFlame: FLAME-based conditioning of NeRF for 3D face rendering. CoRR abs/2303.06226 (2023) - [i77]Krzysztof Byrski, Przemyslaw Spurek, Jacek Tabor:
Gaussian model for closed curves. CoRR abs/2304.01367 (2023) - [i76]Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor:
r-softmax: Generalized Softmax with Controllable Sparsity Rate. CoRR abs/2304.05243 (2023) - [i75]Dominik Zimny, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek:
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation. CoRR abs/2305.10579 (2023) - [i74]Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja:
Augmentation-aware Self-supervised Learning with Guided Projector. CoRR abs/2306.06082 (2023) - [i73]Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski:
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR abs/2306.10535 (2023) - [i72]Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor:
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. CoRR abs/2306.12230 (2023) - [i71]Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja:
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. CoRR abs/2307.02198 (2023) - [i70]Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR abs/2308.08162 (2023) - [i69]Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja:
Face Identity-Aware Disentanglement in StyleGAN. CoRR abs/2309.12033 (2023) - [i68]Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor:
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. CoRR abs/2311.03884 (2023) - [i67]Dawid Malarz, Weronika Smolak, Jacek Tabor, Slawomir Konrad Tadeja, Przemyslaw Spurek:
Gaussian Splatting with NeRF-based Color and Opacity. CoRR abs/2312.13729 (2023) - 2022
- [j33]Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor:
SLOVA: Uncertainty estimation using single label one-vs-all classifier. Appl. Soft Comput. 126: 109219 (2022) - [j32]Lukasz Struski, Szymon Knop, Przemyslaw Spurek, Wiktor Daniec, Jacek Tabor:
LocoGAN - Locally convolutional GAN. Comput. Vis. Image Underst. 221: 103462 (2022) - [j31]Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak:
Generative models with kernel distance in data space. Neurocomputing 487: 119-129 (2022) - [j30]Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek:
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8508-8519 (2022) - [j29]Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski:
General Hypernetwork Framework for Creating 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9995-10008 (2022) - [c39]Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) 2022: 351-368 - [c38]Adriana Borowa, Szczepan Kruczek, Jacek Tabor, Bartosz Zielinski:
Weakly-Supervised Cell Classification for Effective High Content Screening. ICCS (1) 2022: 318-330 - [c37]Szymon Knop, Przemyslaw Spurek, Marcin Mazur, Jacek Tabor, Igor T. Podolak:
Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders. ICIP 2022: 3728-3732 - [c36]Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski:
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. ICML 2022: 21205-21231 - [c35]Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
Continual Learning with Guarantees via Weight Interval Constraints. ICML 2022: 23897-23911 - [c34]Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor:
Nonlinear Weighted Independent Component Analysis. IPMU (2) 2022: 3-16 - [c33]Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski:
HyperPocket: Generative Point Cloud Completion. IROS 2022: 6848-6853 - [c32]Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor:
MisConv: Convolutional Neural Networks for Missing Data. WACV 2022: 2917-2926 - [i66]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. CoRR abs/2203.11378 (2022) - [i65]Marcin Przewiezlikowski, P. Przybysz, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek:
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks. CoRR abs/2205.15745 (2022) - [i64]Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
Continual Learning with Guarantees via Weight Interval Constraints. CoRR abs/2206.07996 (2022) - [i63]Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor:
Bounding Evidence and Estimating Log-Likelihood in VAE. CoRR abs/2206.09453 (2022) - [i62]Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor:
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier. CoRR abs/2206.13923 (2022) - [i61]Piotr Tempczyk, Rafal Michaluk, Lukasz Garncarek, Przemyslaw Spurek, Jacek Tabor, Adam Golinski:
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood. CoRR abs/2206.14882 (2022) - [i60]Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProPaLL: Probabilistic Partial Label Learning. CoRR abs/2208.09931 (2022) - [i59]Piotr Borycki, Piotr Kubacki, Marcin Przewiezlikowski, Tomasz Kusmierczyk, Jacek Tabor, Przemyslaw Spurek:
Hypernetwork approach to Bayesian MAML. CoRR abs/2210.02796 (2022) - [i58]Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski:
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. CoRR abs/2211.01839 (2022) - 2021
- [j28]Jakub Bielawski, Jacek Tabor:
Convex hull of a fuzzy set and triangular norms. Fuzzy Sets Syst. 417: 93-109 (2021) - [j27]Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger:
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3930-3941 (2021) - [c31]Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor:
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. ICTAI 2021: 1322-1326 - [c30]Agnieszka Pocha, Tomasz Danel, Sabina Podlewska, Jacek Tabor, Lukasz Maziarka:
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. IJCNN 2021: 1-8 - [c29]Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD 2021: 1420-1430 - [c28]Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski:
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS 2021: 2516-2528 - [c27]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS 2021: 10285-10298 - [c26]Klaudia Balazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor, Karl Aberer:
Direction is what you need: Improving Word Embedding Compression in Large Language Models. RepL4NLP@ACL-IJCNLP 2021: 322-330 - [c25]Dawid Rymarczyk, Adriana Borowa, Jacek Tabor, Bartosz Zielinski:
Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. WACV 2021: 1720-1729 - [i57]Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski:
HyperPocket: Generative Point Cloud Completion. CoRR abs/2102.05973 (2021) - [i56]Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski:
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR abs/2106.05409 (2021) - [i55]Klaudia Balazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor, Karl Aberer:
Direction is what you need: Improving Word Embedding Compression in Large Language Models. CoRR abs/2106.08181 (2021) - [i54]Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski:
SONG: Self-Organizing Neural Graphs. CoRR abs/2107.13214 (2021) - [i53]Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor:
Flow-based SVDD for anomaly detection. CoRR abs/2108.04907 (2021) - [i52]Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski:
Relative Molecule Self-Attention Transformer. CoRR abs/2110.05841 (2021) - [i51]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR abs/2110.13561 (2021) - [i50]Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor:
MisConv: Convolutional Neural Networks for Missing Data. CoRR abs/2110.14010 (2021) - [i49]Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR abs/2112.02902 (2021) - 2020
- [j26]Lukasz Struski, Marek Smieja, Jacek Tabor:
Pointed Subspace Approach to Incomplete Data. J. Classif. 37(1): 42-57 (2020) - [j25]Stanislaw Jastrzebski, Maciej Szymczak, Agnieszka Pocha, Stefan Mordalski, Jacek Tabor, Andrzej J. Bojarski, Sabina Podlewska:
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening. J. Chem. Inf. Model. 60(9): 4246-4262 (2020) - [j24]Szymon Knop, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski:
Cramer-Wold Auto-Encoder. J. Mach. Learn. Res. 21: 164:1-164:28 (2020) - [c24]Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor:
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. ESANN 2020: 55-60 - [c23]Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras:
The Break-Even Point on Optimization Trajectories of Deep Neural Networks. ICLR 2020 - [c22]Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. ICML 2020: 9099-9108 - [c21]Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski:
Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) 2020: 294-305 - [c20]Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka:
Spatial Graph Convolutional Networks. ICONIP (5) 2020: 668-675 - [c19]Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor:
Finding the Optimal Network Depth in Classification Tasks. ECML/PKDD (3) 2020: 263-278 - [i48]Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor:
WICA: nonlinear weighted ICA. CoRR abs/2001.04147 (2020) - [i47]Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek:
LocoGAN - Locally Convolutional GAN. CoRR abs/2002.07897 (2020) - [i46]Lukasz Maziarka, Tomasz Danel, Slawomir Mucha, Krzysztof Rataj, Jacek Tabor, Stanislaw Jastrzebski:
Molecule Attention Transformer. CoRR abs/2002.08264 (2020) - [i45]Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof J. Geras:
The Break-Even Point on Optimization Trajectories of Deep Neural Networks. CoRR abs/2002.09572 (2020) - [i44]Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. CoRR abs/2003.00802 (2020) - [i43]Bartosz Wójcik, Maciej Wolczyk, Klaudia Balazy, Jacek Tabor:
Finding the Optimal Network Depth in Classification Tasks. CoRR abs/2004.08172 (2020) - [i42]Dawid Rymarczyk, Jacek Tabor, Bartosz Zielinski:
Kernel Self-Attention in Deep Multiple Instance Learning. CoRR abs/2005.12991 (2020) - [i41]Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski:
HyperFlow: Representing 3D Objects as Surfaces. CoRR abs/2006.08710 (2020) - [i40]Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor:
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. CoRR abs/2006.10013 (2020) - [i39]Szymon Knop, Marcin Mazur, Przemyslaw Spurek, Jacek Tabor, Igor T. Podolak:
Generative models with kernel distance in data space. CoRR abs/2009.07327 (2020) - [i38]Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek:
Flow-based anomaly detection. CoRR abs/2010.03002 (2020) - [i37]Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR abs/2011.14340 (2020) - [i36]Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR abs/2011.14620 (2020)
2010 – 2019
- 2019
- [j23]Marek Smieja, Krzysztof Hajto, Jacek Tabor:
Efficient mixture model for clustering of sparse high dimensional binary data. Data Min. Knowl. Discov. 33(6): 1583-1624 (2019) - [j22]Damian Lesniak, Sabina Podlewska, Stanislaw Jastrzebski, Igor Sieradzki, Andrzej J. Bojarski, Jacek Tabor:
Development of New Methods Needs Proper Evaluation - Benchmarking Sets for Machine Learning Experiments for Class A GPCRs. J. Chem. Inf. Model. 59(12): 4974-4992 (2019) - [j21]Marek Smieja, Lukasz Struski, Jacek Tabor, Mateusz Marzec:
Generalized RBF kernel for incomplete data. Knowl. Based Syst. 173: 150-162 (2019) - [j20]Marek Smieja, Jacek Tabor, Przemyslaw Spurek:
SVM with a neutral class. Pattern Anal. Appl. 22(2): 573-582 (2019) - [j19]Przemyslaw Spurek, Krzysztof Byrski, Jacek Tabor:
Online updating of active function cross-entropy clustering. Pattern Anal. Appl. 22(4): 1409-1425 (2019) - [j18]Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja:
Projected memory clustering. Pattern Recognit. Lett. 123: 9-15 (2019) - [c18]Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak:
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. AISTATS 2019: 2221-2230 - [c17]Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja:
Hypernetwork Functional Image Representation. ICANN (Workshop) 2019: 496-510 - [c16]Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek:
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) 2019: 419-431 - [i35]Szymon Knop, Marcin Mazur, Jacek Tabor, Igor T. Podolak, Przemyslaw Spurek:
Sliced generative models. CoRR abs/1901.10417 (2019) - [i34]Bartosz Wójcik, Lukasz Maziarka, Jacek Tabor:
LOSSGRAD: automatic learning rate in gradient descent. CoRR abs/1902.07656 (2019) - [i33]Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak:
Multi-task hypernetworks. CoRR abs/1902.10404 (2019) - [i32]Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski:
Non-linear ICA based on Cramer-Wold metric. CoRR abs/1903.00201 (2019) - [i31]Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak:
Interpolation in generative models. CoRR abs/1904.03445 (2019) - [i30]Przemyslaw Spurek, Szymon Knop, Jacek Tabor, Igor T. Podolak, Bartosz Wójcik:
One-element Batch Training by Moving Window. CoRR abs/1905.12947 (2019) - [i29]Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor:
Independent Component Analysis based on multiple data-weighting. CoRR abs/1906.00028 (2019) - [i28]Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor:
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. CoRR abs/1906.00628 (2019) - [i27]Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger:
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. CoRR abs/1906.09333 (2019) - [i26]Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka:
Geometric Graph Convolutional Neural Networks. CoRR abs/1909.05310 (2019) - [i25]Maciej Wolczyk, Jacek Tabor, Marek Smieja, Szymon Maszke:
Biologically-Inspired Spatial Neural Networks. CoRR abs/1910.02776 (2019) - 2018
- [j17]Lukasz Struski, Jacek Tabor, Przemyslaw Spurek:
Lossy compression approach to subspace clustering. Inf. Sci. 435: 161-183 (2018) - [j16]Marek Smieja, Oleksandr Myronov, Jacek Tabor:
Semi-supervised discriminative clustering with graph regularization. Knowl. Based Syst. 151: 24-36 (2018) - [j15]Przemyslaw Spurek, Jacek Tabor, Lukasz Struski, Marek Smieja:
Fast independent component analysis algorithm with a simple closed-form solution. Knowl. Based Syst. 161: 26-34 (2018) - [c15]Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. NeurIPS 2018: 2724-2734 - [i24]Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor:
Cascade context encoder for improved inpainting. CoRR abs/1803.04033 (2018) - [i23]Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. CoRR abs/1805.07405 (2018) - [i22]Jacek Tabor, Szymon Knop, Przemyslaw Spurek, Igor T. Podolak, Marcin Mazur, Stanislaw Jastrzebski:
Cramer-Wold AutoEncoder. CoRR abs/1805.09235 (2018) - [i21]Wojciech Tarnowski, Piotr Warchol, Stanislaw Jastrzebski, Jacek Tabor, Maciej A. Nowak:
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function. CoRR abs/1809.08848 (2018) - [i20]Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek:
Deep processing of structured data. CoRR abs/1810.01868 (2018) - 2017
- [j14]Przemyslaw Spurek, Jacek Tabor, Krzysztof Byrski:
Active function Cross-Entropy Clustering. Expert Syst. Appl. 72: 49-66 (2017) - [j13]Marek Smieja, Lukasz Struski, Jacek Tabor:
Semi-supervised model-based clustering with controlled clusters leakage. Expert Syst. Appl. 85: 146-157 (2017) - [j12]Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Smieja:
R Package CEC. Neurocomputing 237: 410-413 (2017) - [j11]Wojciech Marian Czarnecki, Jacek Tabor:
Extreme entropy machines: robust information theoretic classification. Pattern Anal. Appl. 20(2): 383-400 (2017) - [j10]Przemyslaw Spurek, Jacek Tabor, Przemyslaw Rola, M. Ociepka:
ICA based on asymmetry. Pattern Recognit. 67: 230-244 (2017) - [i19]Lukasz Struski, Marek Smieja, Jacek Tabor:
Pointed subspace approach to incomplete data. CoRR abs/1705.00840 (2017) - [i18]Marek Smieja, Lukasz Struski, Jacek Tabor:
Semi-supervised model-based clustering with controlled clusters leakage. CoRR abs/1705.01877 (2017) - [i17]Marek Smieja, Jacek Tabor:
Spherical Wards clustering and generalized Voronoi diagrams. CoRR abs/1705.02232 (2017) - [i16]Marek Smieja, Krzysztof Hajto, Jacek Tabor:
Efficient mixture model for clustering of sparse high dimensional binary data. CoRR abs/1707.03157 (2017) - 2016
- [j9]Krzysztof Misztal, Jacek Tabor:
Ellipticity and Circularity Measuring via Kullback-Leibler Divergence. J. Math. Imaging Vis. 55(1): 136-150 (2016) - [c14]Krzysztof Misztal, Jacek Tabor, Jakub Hyla:
Optimal Ellipse Based Algorithm as an Approximate and Robust Solution of Minimum Volume Covering Ellipse Problem. CISIM 2016: 240-250 - [c13]Marek Smieja, Szymon Nakoneczny, Jacek Tabor:
Fast Entropy Clustering of sparse high dimensional binary data. IJCNN 2016: 2397-2404 - [i15]Lukasz Struski, Marek Smieja, Jacek Tabor:
Incomplete data representation for SVM classification. CoRR abs/1612.01480 (2016) - 2015
- [j8]Marek Smieja, Jacek Tabor:
Entropy Approximation in Lossy Source Coding Problem. Entropy 17(5): 3400-3418 (2015) - [j7]Wojciech Marian Czarnecki, Jacek Tabor:
Multithreshold Entropy Linear Classifier: Theory and applications. Expert Syst. Appl. 42(13): 5591-5606 (2015) - [c12]Arkadiusz Tomczyk, Przemyslaw Spurek, Michal Podgórski, Krzysztof Misztal, Jacek Tabor:
Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation. CORES 2015: 159-168 - [c11]Wojciech Marian Czarnecki, Jacek Tabor:
Online Extreme Entropy Machines for Streams Classification and Active Learning. CORES 2015: 371-381 - [c10]Marek Smieja, Jacek Tabor:
Spherical wards clustering and generalized Voronoi diagrams. DSAA 2015: 1-10 - [c9]Przemyslaw Spurek, Mateusz Wójcik, Jacek Tabor:
Cross-Entropy Clustering Approach to One-Class Classification. ICAISC (1) 2015: 481-490 - [c8]Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor:
Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation. ECML/PKDD (1) 2015: 52-67 - [i14]Wojciech Marian Czarnecki, Jacek Tabor:
Extreme Entropy Machines: Robust information theoretic classification. CoRR abs/1501.05279 (2015) - [i13]Wojciech Marian Czarnecki, Rafal Józefowicz, Jacek Tabor:
Maximum Entropy Linear Manifold for Learning Discriminative Low-dimensional Representation. CoRR abs/1504.02622 (2015) - [i12]Jacek Tabor, Przemyslaw Spurek, Konrad Kamieniecki, Marek Smieja, Krzysztof Misztal:
Introduction to Cross-Entropy Clustering The R Package CEC. CoRR abs/1508.04559 (2015) - 2014
- [j6]Wojciech Marian Czarnecki, Jacek Tabor:
Two ellipsoid Support Vector Machines. Expert Syst. Appl. 41(18): 8211-8224 (2014) - [j5]Jacek Tabor, Przemyslaw Spurek:
Cross-entropy clustering. Pattern Recognit. 47(9): 3046-3059 (2014) - [c7]Przemyslaw Spurek, Alena Chaikouskaya, Jacek Tabor, Elzbieta Zajac:
A Local Gaussian Filter and Adaptive Morphology as Tools for Completing Partially Discontinuous Curves. CISIM 2014: 559-570 - [i11]Wojciech Marian Czarnecki, Jacek Tabor:
Multithreshold Entropy Linear Classifier. CoRR abs/1408.1054 (2014) - [i10]Wojciech Marian Czarnecki, Jacek Tabor:
Cluster based RBF Kernel for Support Vector Machines. CoRR abs/1408.2869 (2014) - 2013
- [j4]Przemyslaw Spurek, Jacek Tabor:
The memory center. Inf. Sci. 252: 132-143 (2013) - [c6]Krzysztof Misztal, Jacek Tabor:
Mahalanobis Distance-Based Algorithm for Ellipse Growing in Iris Preprocessing. CISIM 2013: 158-167 - [c5]Przemyslaw Spurek, Jacek Tabor, Krzysztof Misztal:
Weighted Approach to Projective Clustering. CISIM 2013: 367-378 - [c4]Marek Smieja, Jacek Tabor:
Image Segmentation with Use of Cross-Entropy Clustering. CORES 2013: 403-409 - [c3]Przemyslaw Spurek, Jacek Tabor, Elzbieta Zajac:
Detection of Disk-Like Particles in Electron Microscopy Images. CORES 2013: 411-417 - [c2]Jacek Tabor, Krzysztof Misztal:
Detection of Elliptical Shapes via Cross-Entropy Clustering. IbPRIA 2013: 656-663 - [i9]Przemyslaw Spurek, Alena Chaikouskaya, Jacek Tabor, Elzbieta Zajac:
A local Gaussian filter and adaptive morphology as tools for completing partially discontinuous curves. CoRR abs/1311.7430 (2013) - 2012
- [j3]Jakub Bielawski, Jacek Tabor:
A t-norm embedding theorem for fuzzy sets. Fuzzy Sets Syst. 209: 33-53 (2012) - [j2]Marek Smieja, Jacek Tabor:
Entropy of the Mixture of Sources and Entropy Dimension. IEEE Trans. Inf. Theory 58(5): 2719-2728 (2012) - [c1]Krzysztof Misztal, Jacek Tabor, Khalid Saeed:
A New Algorithm for Rotation Detection in Iris Pattern Recognition. CISIM 2012: 135-145 - [i8]Marek Smieja, Jacek Tabor:
Weighted Approach to Rényi Entropy. CoRR abs/1204.0075 (2012) - [i7]Marek Smieja, Jacek Tabor:
Partition Reduction for Lossy Data Compression Problem. CoRR abs/1204.0078 (2012) - [i6]Przemyslaw Spurek, Jacek Tabor:
The memory centre. CoRR abs/1204.0281 (2012) - [i5]Przemyslaw Spurek, Jacek Tabor:
Cross-Entropy Clustering. CoRR abs/1210.5594 (2012) - [i4]Lukasz Struski, Jacek Tabor:
Strict localization of eigenvectors and eigenvalues. CoRR abs/1210.8072 (2012) - [i3]Jacek Tabor, Krzysztof Misztal:
Detection of elliptical shapes via cross-entropy clustering. CoRR abs/1211.5712 (2012) - 2011
- [i2]Krzysztof Misztal, Przemyslaw Spurek, Jacek Tabor:
k-means Approach to the Karhunen-Loeve Transform. CoRR abs/1109.3994 (2011) - [i1]Marek Smieja, Jacek Tabor:
Entropy of the Mixture of Sources and Entropy Dimension. CoRR abs/1110.6027 (2011)
2000 – 2009
- 2002
- [j1]Jacek Tabor, David T. Yost:
Applications of Inverse Limits to Extensions of Operators and Approximation of Lipschitz Functions. J. Approx. Theory 116(2): 257-267 (2002)
Coauthor Index
Wojciech Czarnecki 0001
aka: Wojciech Marian Czarnecki
aka: Wojciech Marian Czarnecki
Aleksandra Nowak 0001
aka: Aleksandra Irena Nowak
aka: Aleksandra Irena Nowak
[j37] [c56] [c53] [c52] [i88] [i83] [j34] [c47] [c45] [c44] [c40] [i79] [i76] [i74] [i71] [i69] [j33] [j30] [c32] [i62] [j27] [c31] [c28] [i56] [i54] [i53] [i50] [j26] [c24] [c20] [i40] [i38] [i36] [j23] [j21] [j20] [j18] [c17] [c16] [i33] [i28] [i27] [i26] [i25] [j16] [j15] [c15] [i24] [i23] [i20] [j13] [j12] [i19] [i18] [i17] [i16] [c13] [i15] [j8] [c10] [i12] [c4] [j2] [i8] [i7] [i1]
[j39] [c56] [c55] [c52] [i96] [i95] [i91] [i87] [i85] [i84] [j35] [c51] [c43] [c41] [i80] [i78] [i77] [i75] [i69] [i68] [i67] [j32] [j31] [j30] [j29] [c37] [c36] [c35] [c34] [c33] [i66] [i65] [i64] [i63] [i61] [i59] [i58] [c31] [c27] [i57] [i53] [i51] [j24] [c24] [c22] [c21] [c20] [i48] [i47] [i44] [i41] [i40] [i39] [i38] [i36] [j20] [j19] [j18] [c16] [i35] [i32] [i30] [i29] [i28] [i26] [j17] [j15] [c15] [i23] [i22] [i20] [j14] [j12] [j10] [c12] [c9] [i12] [j5] [c7] [j4] [c5] [c3] [i9] [i6] [i5] [i2]
[j40] [j36] [c57] [i94] [i89] [i86] [c51] [c50] [c48] [c47] [c42] [c40] [i82] [i76] [i73] [i70] [i68] [j32] [j30] [c39] [c33] [c32] [i63] [i60] [c29] [i57] [i54] [i53] [i50] [i49] [j26] [c20] [i47] [i38] [i37] [j21] [j18] [c16] [i31] [i29] [i26] [j17] [j15] [c15] [i24] [i23] [i20] [j13] [i19] [i18] [i15] [i4]
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