关注
Lazar Atanackovic
Lazar Atanackovic
Ph.D. Candidate at the University of Toronto, Vector Institute
在 mail.utoronto.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
532019
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
412018
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
142023
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
142022
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
L Atanackovic, A Tong, B Wang, LJ Lee, Y Bengio, JS Hartford
Advances in Neural Information Processing Systems 36, 2023
13*2023
A computational framework for solving Wasserstein Lagrangian flows
K Neklyudov, R Brekelmans, A Tong, L Atanackovic, Q Liu, A Makhzani
arXiv preprint arXiv:2310.10649, 2023
52023
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
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
32022
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
22020
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
Investigating Generalization Behaviours of Generative Flow Networks
L Atanackovic, E Bengio
arXiv preprint arXiv:2402.05309, 2024
2024
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
系统目前无法执行此操作，请稍后再试。
文章 1–13