Scholar
Kirill Neklyudov
Google Scholar ID: eOttYWgAAAAJ
Université de Montréal; Mila - Quebec AI Institute
Citations & Impact
Citations
743
H-index
14
i10-index
18
Publications
20
Co-authors
13
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published multiple papers in the fields of AI for Science, MCMC, and Bayesian Deep Learning. Some of the papers include:
- - Amortized Sampling with Transferable Normalizing Flows (NeurIPS 2025)
- - Progressive Inference-Time Annealing of Diffusion Models (NeurIPS 2025, spotlight)
- - Feynman-Kac Correctors: Annealing, Guidance, and Product of Experts (ICML 2025, spotlight)
- - The Superposition of Diffusion Models Using the Itô Density Estimator (ICLR 2025, spotlight)
- - Doob’s Lagrangian: Variational Approach to Transition Path Sampling (NeurIPS 2024, spotlight)
- - A Computational Framework for Solving Wasserstein Lagrangian Flows (ICML 2024)
- - Wasserstein Quantum Monte Carlo: Solving the Schrödinger Equation (NeurIPS 2023, spotlight)
- - Action Matching: Learning Stochastic Dynamics from Samples (ICML 2023)
- - Orbital MCMC (AISTATS 2022, oral)
- - Involutive MCMC: a Unifying Framework (ICML 2020)
- - Deterministic Gibbs Sampling via ODEs
- - The Implicit Metropolis-Hastings Algorithm (NeurIPS 2019)
- - Variance Networks (ICLR 2019)
- - Structured Bayesian Pruning (NeurIPS 2017)
Research Experience
- Assistant Professor at the University of Montreal, Core Academic Member at Mila - Quebec AI Institute, and a regular member of Institut Courtois.
Education
- Postdoctoral research at the University of Amsterdam under Max Welling; postdoctoral research at Vector Institute under Alán Aspuru-Guzik and Alireza Makhzani.
Background
- Research interests include generative modeling, Monte Carlo methods, Optimal Transport, and applying these to solve fundamental problems in natural sciences such as finding eigenstates of the many-body Schrodinger equation, simulating molecular dynamics, predicting the development of biological cells, conformational sampling, and protein folding. Born in Sevastopol, Ukraine, and started competing in Ukrainian olympiads on math and physics at the age of 13.
Miscellany
- Used to mentor at Brave Generation. Concerned about the war in Ukraine and calls for help.
