Esmaeili, Babak

10 publications

TMLR 2025 Variational Stochastic Gradient Descent for Deep Neural Networks Anna Kuzina, Haotian Chen, Babak Esmaeili, Jakub M. Tomczak

ICMLW 2024 Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen, Anna Kuzina, Babak Esmaeili, Jakub M. Tomczak

NeurIPS 2023 Topological Obstructions and How to Avoid Them Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent

NeurIPSW 2022 Understanding Optimization Challenges When Encoding to Geometric Structures Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent

AISTATS 2021 Rate-Regularization and Generalization in Variational Autoencoders Alican Bozkurt, Babak Esmaeili, Jean-Baptiste Tristan, Dana Brooks, Jennifer Dy, Jan-Willem van de Meent

ICML 2021 Conjugate Energy-Based Models Hao Wu, Babak Esmaeili, Michael Wick, Jean-Baptiste Tristan, Jan-Willem Van De Meent

ICLRW 2021 Conjugate Energy-Based Models Hao Wu, Babak Esmaeili, Michael L Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent

NeurIPS 2021 Nested Variational Inference Heiko Zimmermann, Hao Wu, Babak Esmaeili, Jan-Willem van de Meent

AISTATS 2019 Structured Disentangled Representations Babak Esmaeili, Hao Wu, Sarthak Jain, Alican Bozkurt, N Siddharth, Brooks Paige, Dana H. Brooks, Jennifer Dy, Jan-Willem Meent

AISTATS 2019 Structured Neural Topic Models for Reviews Babak Esmaeili, Hongyi Huang, Byron Wallace, Jan-Willem van de Meent