Grid surveillance and diagnostics using power line communications. - Yinjia Huo; Gautham Prasad; Lazar Atanackovic; Lutz Lampe; Victor C. M. Leung (ISPLC, 2018)

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)

Energy-based Modelling for Single-cell Data Annotation. - Tianyi Liu; Philip Fradkin; Lazar Atanackovic; Leo J. Lee (MLCB, 2022)

A graph neural network approach for molecule carcinogenicity prediction. - Philip Fradkin; Adamo Young; Lazar Atanackovic; Brendan J. Frey; Leo J. Lee; Bo Wang 044 (Bioinform., 2022)

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets. - Lazar Atanackovic; Alexander Tong 001; Bo Wang; Leo J. Lee; Yoshua Bengio; Jason S. Hartford (NeurIPS, 2023)

DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks. - Lazar Atanackovic; Alexander Tong 001; Jason S. Hartford; Leo J. Lee; Bo Wang; Yoshua Bengio (CoRR, 2023)

Simulation-Free Schrödinger Bridges via Score and Flow Matching. - Alexander Tong 001; Nikolay Malkin; Kilian Fatras; Lazar Atanackovic; Yanlei Zhang; Guillaume Huguet; Guy Wolf; Yoshua Bengio (AISTATS, 2024)

A Computational Framework for Solving Wasserstein Lagrangian Flows. - Kirill Neklyudov; Rob Brekelmans; Alexander Tong 001; Lazar Atanackovic; Qiang Liu; Alireza Makhzani (ICML, 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 001; Kirill Neklyudov (ICLR, 2025)

The Superposition of Diffusion Models Using the Itô Density Estimator. - Marta Skreta; Lazar Atanackovic; Joey Bose; Alexander Tong 001; Kirill Neklyudov (ICLR, 2025)

Investigating Generalization Behaviours of Generative Flow Networks. - Lazar Atanackovic; Emmanuel Bengio (Trans. Mach. Learn. Res., 2025)