Katedra Uczenia Maszynowego - lista publikacji

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1-34 z 34.

2024

34.
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
33.
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
32.
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
31.
Izzy Newsham, Marcin Sendera, Sri Ganesh Jammula, Shamith A Samarajiwa
Early detection and diagnosis of cancer with interpretable machine learning to uncover cancer-specific DNA methylation patterns, vol. 9 (2024), 1-18
30.
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
29.
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
28.
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
27.
Farnoud Ghasemi, Rafał Kucharski
Modelling the Rise and Fall of Two-sided Markets, International Joint Conference on Autonomous Agents and Multiagent Systems [AAMAS](MAIN), (2024), 679-687
26.
Rafał Kucharski, Cats Oded
Hyper pooling private trips into high occupancy transit like attractive shared rides, vol. 1 (2024), 6
25.
Krzysztof Misztal, Ewelina Złotkowska, Anna Wlazło, Małgorzata Kiełkiewicz, Paulina Dziosa, Krzysztof Soja, Anna Barczak-Brzyżek, Marcin Filipecki
Automated imaging coupled with AI-powered analysis accelerates the assessment of plant resistance to Tetranychus urticae, Scientific Reports vol. 14 (2024), 8020
24.
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
23.
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
22.
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
21.
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),
20.
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
19.
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
18.
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
17.
Przemysław Spurek, Wojciech Zając, Piotr Borycki, Joanna Waczyńska, Jacek Tabor, Zięba Maciej
NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering, International Conference on Computational Science [ICCS](MAIN) vol. 14832 (2024), 346--361
16.
Bartosz Zieliński, Marcin Przewięźlikowski, Marcin Osial, Marek Śmieja
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
15.
Ewelina Jamrozik, Sabina Podlewska, Marek Śmieja
ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation, Journal of Chemical Information and Modeling vol. 64 (2024), 1425–1432
14.
Magdalena Proszewska, Maciej Wołczyk, Zięba Maciej , Patryk Wielopolski, Łukasz Maziarka, Marek Śmieja
Multi-Label Conditional Generation from Pre-trained Models, IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 46 (2024), 6185-6198
13.
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
12.
Olha Shulika, Michał Bujak, Farnoud Ghasemi, Rafał Kucharski
Spatiotemporal variability of ride-pooling potential–Half a year New York City experiment, Journal of Transport Geography vol. 114 (2024), 1-12
11.
Przemysław Spurek, Krzysztof Byrski, Jacek Tabor
Gaussian model for closed curves, Expert Systems with Applications vol. 249 part B (2024), 123615
10.
Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Marek Żyła, Marek Kańduła, Ana Sánchez-Fernández, Krzysztof Rataj, Łukasz Struski, Jacek Tabor
Decoding Phenotypic Screening: A Comparative Analysis of Image Representations, Computational and Structural Biotechnology Journal vol. 23 (2024), 1181-1188
9.
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
8.
Michał Zając, Tinne Tuytelaars, Gido van de Ven
Prediction Error-based Classification for Class-Incremental Learning, International Conference on Learning Representations [ICLR], (2024),
7.
Łukasz Struski, Szymon Janusz, Jacek Tabor, Michał Markiewicz, Arkadiusz Lewicki
Multiple instance learning for medical image classification based on instance importance, Biomedical Signal Processing and Control vol. 91 (2024), 105874
6.
Bartosz Zieliński, Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor
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
5.
Adrian Suwała, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemysław Spurek, Marek Śmieja
Face Identity-Aware Disentanglement in StyleGAN, IEEE Workshop on Applications of Computer Vision [WACV], (2024), 5222-5231
4.
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
3.
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
Deep learning models capture histological disease activity in Crohn’s Disease and Ulcerative Colitis with high fidelity, Journal of Crohns & Colitis vol. 18 (4) (2024), 604–614
2.
Łukasz Struski, Michał Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models, IEEE Transactions on Neural Networks and Learning Systems vol. 35/9 (2024), 12068 - 12082
1.
Rafał Kucharski, Cats Oded , Jaime Soza-Parra
The shareability potential of ride-pooling under alternative spatial demand patterns, Transportmetrica A-Transport Science vol. 20,2 (2024), 2140022