| Iterated denoising energy matching for sampling from boltzmann densities T Akhound-Sadegh, J Rector-Brooks, AJ Bose, S Mittal, P Lemos, CH Liu, ... arXiv preprint arXiv:2402.06121, 2024 | 45 | 2024 |
| Hypershot: Few-shot learning by kernel hypernetworks M Sendera, M Przewięźlikowski, K Karanowski, M Zięba, J Tabor, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 36 | 2023 |
| Improved off-policy training of diffusion samplers M Sendera, M Kim, S Mittal, P Lemos, L Scimeca, J Rector-Brooks, ... Advances in Neural Information Processing Systems 37, 81016-81045, 2024 | 31* | 2024 |
| Amortizing intractable inference in diffusion models for vision, language, and control S Venkatraman, M Jain, L Scimeca, M Kim, M Sendera, M Hasan, L Rowe, ... arXiv preprint arXiv:2405.20971, 2024 | 28 | 2024 |
| Non-gaussian gaussian processes for few-shot regression M Sendera, J Tabor, A Nowak, A Bedychaj, M Patacchiola, T Trzcinski, ... Advances in Neural Information Processing Systems 34, 10285-10298, 2021 | 20 | 2021 |
| Supermodeling: the next level of abstraction in the use of data assimilation M Sendera, GS Duane, W Dzwinel Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 9 | 2020 |
| OneFlow: One-class flow for anomaly detection based on a minimal volume region Ł Maziarka, M Śmieja, M Sendera, Ł Struski, J Tabor, P Spurek IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8508 …, 2021 | 8* | 2021 |
| Data adaptation in handy economy-ideology model M Sendera arXiv preprint arXiv:1904.04309, 2019 | 6 | 2019 |
| Hybrid swarm and agent-based evolutionary optimization L Placzkiewicz, M Sendera, A Szlachta, M Paciorek, A Byrski, ... Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 6 | 2018 |
| The general framework for few-shot learning by kernel HyperNetworks M Sendera, M Przewiȩźlikowski, J Miksa, M Rajski, K Karanowski, ... Machine Vision and Applications 34 (4), 53, 2023 | 5 | 2023 |
| From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training J Berner, L Richter, M Sendera, J Rector-Brooks, N Malkin arXiv preprint arXiv:2501.06148, 2025 | 3 | 2025 |
| Amortizing Intractable Inference in Diffusion Models for Bayesian Inverse Problems S Venkatraman, M Jain, L Scimeca, M Kim, M Sendera, M Hasan, L Rowe, ... Proc. Workshop on Machine Learning and the Physical Sciences. Accessed, 02-06, 2025 | 1 | 2025 |
| AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion Models A Kasymov, M Sendera, M Stypułkowski, M Zięba, P Spurek arXiv preprint arXiv:2410.03941, 2024 | 1 | 2024 |
| Early detection and diagnosis of cancer with interpretable machine learning to uncover cancer-specific DNA methylation patterns I Newsham, M Sendera, SG Jammula, SA Samarajiwa Biology Methods and Protocols 9 (1), bpae028, 2024 | 1 | 2024 |
| Solving Bayesian inverse problems with diffusion priors and off-policy RL L Scimeca, S Venkatraman, M Jain, M Kim, M Sendera, M Hasan, L Rowe, ... arXiv preprint arXiv:2503.09746, 2025 | | 2025 |
| SEMU: Singular Value Decomposition for Efficient Machine Unlearning M Sendera, Ł Struski, K Książek, K Musiol, J Tabor, D Rymarczyk arXiv preprint arXiv:2502.07587, 2025 | | 2025 |
| Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models S Venkatraman, M Hasan, M Kim, L Scimeca, M Sendera, Y Bengio, ... arXiv preprint arXiv:2502.06999, 2025 | | 2025 |
| High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations M Sendera, A Sorkhei, T Kuśmierczyk arXiv preprint arXiv:2410.15777, 2024 | | 2024 |
| Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data M Sendera, Ł Struski, P Spurek International Conference on Neural Information Processing, 196-204, 2021 | | 2021 |
| Flow-based SVDD for anomaly detection M Sendera, M Śmieja, Ł Maziarka, Ł Struski, P Spurek, J Tabor arXiv preprint arXiv:2108.04907, 2021 | | 2021 |
Nikolay MalkinUniversity of EdinburghVerified email at inf.ed.ac.uk
