Marcin Sendera

29 papers A* 6A 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training.
Trans. Mach. Learn. Res.
Julius Berner, Lorenz Richter, Marcin Sendera, Jarrid Rector-Brooks, Nikolay Malkin
2025 J jnl
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training.
CoRR
Julius Berner, Lorenz Richter, Marcin Sendera, Jarrid Rector-Brooks, Nikolay Malkin
2025 J jnl
Hi-fi functional priors by learning activations.
CoRR
Marcin Sendera, Amin Sorkhei, Tomasz Kusmierczyk
2025 A* conf
Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models.
ICML
Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025 J jnl
Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models.
CoRR
Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025 A conf
Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations.
UAI
Marcin Sendera, Amin Sorkhei, Tomasz Kusmierczyk
2025 A* conf
SEMU: Singular Value Decomposition for Efficient Machine Unlearning.
ICML
Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Damian Rymarczyk
2025 J jnl
SEMU: Singular Value Decomposition for Efficient Machine Unlearning.
CoRR
Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Rymarczyk
2025 J jnl
Solving Bayesian inverse problems with diffusion priors and off-policy RL.
CoRR
Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2024 A* conf
Amortizing intractable inference in diffusion models for vision, language, and control.
NeurIPS
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
2024 J jnl
Amortizing intractable inference in diffusion models for vision, language, and control.
CoRR
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
2024 J jnl
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models.
CoRR
Artur Kasymov, Marcin Sendera, Michal Stypulkowski, Maciej Zieba, Przemyslaw Spurek
2024 J jnl
High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations.
CoRR
Marcin Sendera, Amin Sorkhei, Tomasz Kusmierczyk
2024 A* conf
Improved off-policy training of diffusion samplers.
NeurIPS
Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin
2024 A* conf
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
ICML
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
2024 J jnl
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
CoRR
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
2024 J jnl
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling.
CoRR
Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin
2023 A conf
HyperShot: Few-Shot Learning by Kernel HyperNetworks.
WACV
Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2023 J jnl
The general framework for few-shot learning by kernel HyperNetworks.
Mach. Vis. Appl.
Marcin Sendera, Marcin Przewiezlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2022 J jnl
HyperShot: Few-Shot Learning by Kernel HyperNetworks.
CoRR
Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek
2022 J jnl
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region.
IEEE Trans. Pattern Anal. Mach. Intell.
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
2021 J jnl
Flow-based SVDD for anomaly detection.
CoRR
Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor
2021 — conf
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data.
ICONIP (5)
Marcin Sendera, Lukasz Struski, Przemyslaw Spurek
2021 A* conf
Non-Gaussian Gaussian Processes for Few-Shot Regression.
NeurIPS
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021 J jnl
Non-Gaussian Gaussian Processes for Few-Shot Regression.
CoRR
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2020 J jnl
Flow-based anomaly detection.
CoRR
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
2020 — conf
Supermodeling: The Next Level of Abstraction in the Use of Data Assimilation.
ICCS (6)
Marcin Sendera, Gregory S. Duane, Witold Dzwinel
2019 J jnl
Data adaptation in HANDY economy-ideology model.
CoRR
Marcin Sendera
2018 — conf
Hybrid Swarm and Agent-Based Evolutionary Optimization.
ICCS (2)
Leszek Placzkiewicz, Marcin Sendera, Adam Szlachta, Mateusz Paciorek, Aleksander Byrski, Marek Kisiel-Dorohinicki, Mateusz Godzik