Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic Optimization. - James Vuckovic (CoRR, 2018)

A Mathematical Theory of Attention. - James Vuckovic; Aristide Baratin; Remi Tachet des Combes (CoRR, 2020)

On the Regularity of Attention. - James Vuckovic; Aristide Baratin; Remi Tachet des Combes (CoRR, 2021)

Nonlinear MCMC for Bayesian Machine Learning. - James Vuckovic (NeurIPS, 2022)

Long-Time Convergence and Propagation of Chaos for Nonlinear MCMC. - James Vuckovic (CoRR, 2022)

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation. - Guillaume Huguet; James Vuckovic; Kilian Fatras; Eric Thibodeau-Laufer; Pablo Lemos; Riashat Islam; Cheng-Hao Liu; Jarrid Rector-Brooks; Tara Akhound-Sadegh; Michael M. Bronstein; Alexander Tong 001; Avishek Joey Bose (NeurIPS, 2024)

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. - Guillaume Huguet; James Vuckovic; Kilian Fatras; Eric Thibodeau-Laufer; Pablo Lemos; Riashat Islam; Cheng-Hao Liu; Jarrid Rector-Brooks; Tara Akhound-Sadegh; Michael M. Bronstein; Alexander Tong 001; Avishek Joey Bose (CoRR, 2024)