About me #
I’m a postdoc at Vector Institute researching generative modeling, AI applications in natural sciences, MCMC with Alireza Makhzani. Previously I was a postdoc at the University of Amsterdam with Max Welling.
I was born in Sevastopol (Ukraine) and at the age of 13 I started competing in Ukrainian olympiads on math and physics. Since then I’m interested in studying and understanding nature in all its forms from abstract fields (math, physics, computer science, which I have been studying my whole life) to the practical fields (history, biology, humanities, which I study from pop-science sources in my free time).
Selected Papers #
- Action Matching
Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani
[arXiv] [github][talk]
MCMC #
- Orbital MCMC (AISTATS 2022, oral)
Kirill Neklyudov, Max Welling
[arXiv] [github] - Involutive MCMC: a Unifying Framework (ICML 2020)
Kirill Neklyudov, Max Welling, Evgenii Egorov, Dmitry Vetrov
[arXiv] [github] - Deterministic Gibbs Sampling via ODEs
Kirill Neklyudov, Roberto Bondesan, Max Welling
[arXiv] [github] - The Implicit Metropolis-Hastings Algorithm (NeurIPS 2019)
Kirill Neklyudov, Evgenii Egorov, Dmitry Vetrov
[arXiv]
Bayesian Deep Learning #
- Variance Networks (ICLR 2019)
{Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha}*, Dmitry Vetrov
[arXiv] [github] - Structured Bayesian Pruning (NeurIPS 2017)
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov
[arXiv] [github]
* (joint main-authorship)
Talks #
- Action Matching talk at Shannon’s Bandwagon, 2023
- Langevin dynamics for sampling and global optimization, 2019
- Sparse variational dropout and variance networks, 2018
Email #
You can find my email in my papers.