Atanackovic, Lazar

17 publications

NeurIPS 2025 Curly Flow Matching for Learning Non-Gradient Field Dynamics Katarina Petrović, Lazar Atanackovic, Viggo Moro, Kacper Kapuśniak, Ismail Ilkan Ceylan, Michael M. Bronstein, Joey Bose, Alexander Tong

ICLRW 2025 Curly Flow Matching for Learning Non-Gradient Field Dynamics Katarina Petrović, Lazar Atanackovic, Kacper Kapuśniak, Michael M. Bronstein, Joey Bose, Alexander Tong

ICLRW 2025 Curly Flow Matching for Learning Non-Gradient Field Dynamics Katarina Petrović, Lazar Atanackovic, Kacper Kapusniak, Michael M. Bronstein, Joey Bose, Alexander Tong

TMLR 2025 Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic, Emmanuel Bengio

ICLR 2025 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

ICLRW 2025 Simulation-Free Structure Learning for Stochastic Dynamics Noah El Rimawi-Fine, Adam Stecklov, Lucas Nelson, Alexander Tong, Mathieu Blanchette, Stephen Y. Zhang, Lazar Atanackovic

ICLR 2025 The Superposition of Diffusion Models Using the Itô Density Estimator Marta Skreta, Lazar Atanackovic, Joey Bose, Alexander Tong, Kirill Neklyudov

ICML 2024 A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani

ICMLW 2024 Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic, Emmanuel Bengio

ICMLW 2024 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

AISTATS 2024 Simulation-Free Schrödinger Bridges via Score and Flow Matching Alexander Y. Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio

NeurIPSW 2023 A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani

NeurIPS 2023 DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic, Alexander Tong, Bo Wang, Leo J Lee, Yoshua Bengio, Jason S Hartford

ICMLW 2023 Simulation-Free Schrödinger Bridges via Score and Flow Matching Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio

NeurIPSW 2022 Bayesian Dynamic Causal Discovery Alexander Tong, Lazar Atanackovic, Jason Hartford, Yoshua Bengio

NeurIPSW 2022 Energy-Based Modelling for Single-Cell Data Annotation Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J Lee

ICMLW 2022 Robustness to Adversarial Gradients: A Glimpse into the Loss Landscape of Contrastive Pre-Training Philip Fradkin, Lazar Atanackovic, Michael R. Zhang