Lazar Atanackovic

I am a Ph.D. Candidate at the University of Toronto in The Department of Electrical & Computer Engineering and the Vector Institute.

laz_pic.jpg

I am a member of the Probabilistic and Statistical Inference Group supervised by Brendan Frey and co-supervised by Bo Wang. Previously, I was a machine learning research intern at Recursion Pharmaceuticals / Valence Labs and a research intern at MILA.

My research focuses on decoding the causal dynamics of cells. I am interested in deep learning, generative modelling, dynamic systems, structure learning & causal discovery, computational biology, and drug discovery.

selected publications

  1. gflownet_gen_preview.png
    Investigating Generalization Behaviours of Generative Flow Networks
    Lazar Atanackovic, and Emmanuel Bengio
    arXiv preprint arXiv:2402.05309, 2024
    arXiv Code
  2. sf2m.png
    Simulation-free Schrodinger Bridges via Score and Flow Matching
    Alexander Tong , Nikolay Malkin , Kilian Fatras , Lazar Atanackovic, Yanlei Zhang , Guillaume Huguet , Guy Wolf , and Yoshua Bengio
    In Artificial Intelligence and Statistics (AISTATS), [to appear] , 2024
    arXiv
  3. dyngfn.png
    DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
    Lazar Atanackovic, Alexander Tong , Bo Wang , Leo J Lee , Yoshua Bengio , and Jason Hartford
    Advances in Neural Information Processing Systems (NeurIPS), 2023
    arXiv Code
  4. concerto.png
    A Graph Neural Network Approach for Molecule Carcinogenicity Prediction
    Philip Fradkin , Adamo Young , Lazar Atanackovic, Brendan Frey , Leo J Lee , and Bo Wang
    Bioinformatics, 2022
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