Lazar Atanackovic

According to our database, Lazar Atanackovic authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Measure-to-measure Regression with Transformers.

Matthew Vandergrift, Martha White, Yury Polyanskiy, Philippe Rigollet, Lazar Atanackovic

CoRR, May, 2026

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots.

Vincent Guan, Lazar Atanackovic, Kirill Neklyudov

CoRR, May, 2026

2025

Simulation-free Structure Learning for Stochastic Dynamics.

Noah El Rimawi-Fine, Adam Stecklov, Lucas Nelson, Mathieu Blanchette, Alexander Tong, Stephen Y. Zhang, Lazar Atanackovic

CoRR, October, 2025

Investigating Generalization Behaviours of Generative Flow Networks.

Lazar Atanackovic, Emmanuel Bengio

Trans. Mach. Learn. Res., 2025

Curly Flow Matching for Learning Non-gradient Field Dynamics.

Katarina Petrovic, Lazar Atanackovic, Viggo Moro, Kacper Kapusniak, Ismail Ilkan Ceylan, Michael M. Bronstein, Joey Bose, Alexander Tong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

The Superposition of Diffusion Models Using the Itô Density Estimator.

Marta Skreta, Lazar Atanackovic, Joey Bose, Alexander Tong, Kirill Neklyudov

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Computational Framework for Solving Wasserstein Lagrangian Flows.

Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks.

Lazar Atanackovic, Alexander Tong, Jason S. Hartford, Leo J. Lee, Bo Wang, Yoshua Bengio

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A graph neural network approach for molecule carcinogenicity prediction.

Philip Fradkin, Adamo Young, Lazar Atanackovic, Brendan J. Frey, Leo J. Lee, Bo Wang

Bioinform., 2022

Energy-based Modelling for Single-cell Data Annotation.

Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J. Lee

Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

2019

Cable Diagnostics With Power Line Modems for Smart Grid Monitoring.

Yinjia Huo, Gautham Prasad, Lazar Atanackovic, Lutz Lampe, Victor C. M. Leung

IEEE Access, 2019

2018

Grid surveillance and diagnostics using power line communications.

Yinjia Huo, Gautham Prasad, Lazar Atanackovic, Lutz Lampe, Victor C. M. Leung

Proceedings of the IEEE International Symposium on Power Line Communications and its Applications, 2018