mgr Marcin Sendera
Jednostki:
- Wydział Matematyki i Informatyki UJ
- Instytut Informatyki i Matematyki Komputerowej
- Katedra Uczenia Maszynowego
Publikacje:
12.
SEMU: Singular Value Decomposition for Efficient Machine Unlearning, International Conference on Machine Learning [ICML], (2025),
11.
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
10.
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
9.
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
8.
Izzy Newsham, Marcin Sendera, Sri Ganesh Jammula, Shamith A Samarajiwa
7.
Przemysław Spurek, Marcin Sendera, Marcin Przewięźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor
6.
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
5.
4.
Missing Glow Phenomenon: learning disentangled representation of missing data, International Conference on Neural Information Processing [ICONIP] vol. vol 1516 (2021), 196-204
3.
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
2.
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
1.
Flow-based SVDD for anomaly detection, International Conference On Machine Learning (workshop Track) (2020),
Konferencje:
1.
Thirty-seventh International Conference on Machine Learning, The International Machine Learning Society, Wiedeń, Austria (Virtual), 2020-07-12 - 2020-07-18
Granty (realizowane po maju 2009 roku)
Tytuł | Rola | Rozpoczęcie | Zakończenie |
---|---|---|---|
Jak uczyć się szybciej: w kierunku lepszej adaptacji w procesie meta-uczenia. | Kierownik | 2023-02-07 | 2025-08-06 |