Kirill Neklyudov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. | Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Dongxia Wu, Haorui Wang, Aaron M. Ferber, Yian Ma, Carla P. Gomes, Chao Zhang |
| 2025 | ICLR | Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold. | Lazar Atanackovic, Xi Zhang, Brandon Amos, Mathieu Blanchette, Leo J. Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov |
| 2025 | ICLR | The Superposition of Diffusion Models Using the It Density Estimator. | Marta Skreta, Lazar Atanackovic, Joey Bose, Alexander Tong, Kirill Neklyudov |
| 2025 | ICLR | Efficient Evolutionary Search Over Chemical Space with Large Language Models. | Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Aln Aspuru-Guzik, Kirill Neklyudov, Chao Zhang |
| 2025 | ICML | Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. | Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Aln Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov |
| 2024 | ICML | Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC. | Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani |
| 2024 | ICML | A Computational Framework for Solving Wasserstein Lagrangian Flows. | Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani |
| 2023 | ICML | Action Matching: Learning Stochastic Dynamics from Samples. | Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani |
| 2022 | AISTATS | Orbital MCMC. | Kirill Neklyudov, Max Welling |
| 2020 | ICML | Involutive MCMC: a Unifying Framework. | Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry P. Vetrov |
| 2019 | ICLR | Variance Networks: When Expectation Does Not Meet Your Expectations. | Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov |
| 2019 | ISNN | Uncertainty Estimation via Stochastic Batch Normalization. | Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov |
| 2019 | ISNN | MaxEntropy Pursuit Variational Inference. | Evgenii Egorov, Kirill Neklyudov, Ruslan Kostoev, Evgeny Burnaev |
| 2018 | ICLR | Uncertainty Estimation via Stochastic Batch Normalization. | Andrei Atanov, Arsenii Ashukha, Dmitry Molchanov, Kirill Neklyudov, Dmitry P. Vetrov |
| 2016 | AIST | Performance of Machine Learning Algorithms in Predicting Game Outcome from Drafts in Dota 2. | Aleksandr M. Semenov, Peter Romov, Sergey Korolev, Daniil Yashkov, Kirill Neklyudov |