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ORCIDMarcin Sendera
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2020 – today
- 2024
[c6]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. ICML 2024- [i8]Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca
, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin:
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling. CoRR abs/2402.05098 (2024) - [i7]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. CoRR abs/2402.06121 (2024) - [i6]Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Amortizing intractable inference in diffusion models for vision, language, and control. CoRR abs/2405.20971 (2024) - 2023
- [j2]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) - [c5]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. WACV 2023: 2468-2477 - 2022
- [j1]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) - [i5]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. CoRR abs/2203.11378 (2022) - 2021
- [c4]Marcin Sendera, Lukasz Struski, Przemyslaw Spurek:
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. ICONIP (5) 2021: 196-204 - [c3]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 - [i4]Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor:
Flow-based SVDD for anomaly detection. CoRR abs/2108.04907 (2021) - [i3]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) - 2020
- [c2]Marcin Sendera, Gregory S. Duane, Witold Dzwinel:
Supermodeling: The Next Level of Abstraction in the Use of Data Assimilation. ICCS (6) 2020: 133-147 - [i2]Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek:
Flow-based anomaly detection. CoRR abs/2010.03002 (2020)
2010 – 2019
- 2019
- [i1]Marcin Sendera:
Data adaptation in HANDY economy-ideology model. CoRR abs/1904.04309 (2019) - 2018
- [c1]Leszek Placzkiewicz, Marcin Sendera, Adam Szlachta, Mateusz Paciorek, Aleksander Byrski, Marek Kisiel-Dorohinicki, Mateusz Godzik:
Hybrid Swarm and Agent-Based Evolutionary Optimization. ICCS (2) 2018: 89-102
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