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Lazar Atanackovic
Lazar Atanackovic
Ph.D. Candidate at the University of Toronto, Vector Institute
Verified email at mail.utoronto.ca
Title
Cited by
Cited by
Year
Cable diagnostics with power line modems for smart grid monitoring
Y Huo, G Prasad, L Atanackovic, L Lampe, VCM Leung
IEEE Access 7, 60206-60220, 2019
492019
Grid surveillance and diagnostics using power line communications
Y Huo, G Prasad, L Atanackovic, L Lampe, VCM Leung
2018 IEEE International Symposium on Power Line Communications and its …, 2018
402018
A graph neural network approach for molecule carcinogenicity prediction
P Fradkin, A Young, L Atanackovic, B Frey, LJ Lee, B Wang
Bioinformatics 38 (Supplement_1), i84-i91, 2022
62022
Statistical shipping noise characterization and mitigation for underwater acoustic communications
L Atanackovic, R Zhang, L Lampe, R Diamant
OCEANS 2019-Marseille, 1-7, 2019
52019
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
L Atanackovic, A Tong, J Hartford, LJ Lee, B Wang, Y Bengio
arXiv preprint arXiv:2302.04178, 2023
22023
Robustness to Adversarial Gradients: A Glimpse Into the Loss Landscape of Contrastive Pre-training
P Fradkin, L Atanackovic, MR Zhang
First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022
22022
Bayesian Dynamic Causal Discovery
A Tong, L Atanackovic, J Hartford, Y Bengio
A causal view on dynamical systems, NeurIPS 2022 workshop, 2022
12022
Stochastic ship-radiated noise modelling via generative adversarial networks
L Atanackovic, V Vakilian, D Wiebe, L Lampe, R Diamant
Global oceans 2020: Singapore–US gulf coast, 1-8, 2020
12020
Deep-Learning Based Ship-Radiated Noise Suppression for Underwater Acoustic OFDM Systems
L Atanackovic, L Lampe, R Diamant
Global Oceans 2020: Singapore–US Gulf Coast, 1-8, 2020
12020
Simulation-free Schrödinger bridges via score and flow matching
A Tong, N Malkin, K Fatras, L Atanackovic, Y Zhang, G Huguet, G Wolf, ...
arXiv preprint arXiv:2307.03672, 2023
2023
Energy-based Modelling for Single-cell Data Annotation
T Liu, P Fradkin, L Atanackovic, LJ Lee
Machine Learning in Computational Biology, 94-109, 2022
2022
Machine learning inspired ship-radiated noise modelling and cancellation for underwater acoustic communication systems
L Atanackovic
University of British Columbia, 2020
2020
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