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Victor Schmidt
Victor Schmidt
Mila, Université de Montréal
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
Quantifying the carbon emissions of machine learning
A Lacoste, A Luccioni, V Schmidt, T Dandres
arXiv preprint arXiv:1910.09700, 2019
5852019
CodeCarbon: estimate and track carbon emissions from machine learning computing
V Schmidt, K Goyal, A Joshi, B Feld, L Conell, N Laskaris, D Blank, ...
Cited on 20, 2021
552021
Visualizing the consequences of climate change using cycle-consistent adversarial networks
V Schmidt, A Luccioni, SK Mukkavilli, N Balasooriya, K Sankaran, ...
arXiv preprint arXiv:1905.03709, 2019
452019
Using artificial intelligence to visualize the impacts of climate change
A Luccioni, V Schmidt, V Vardanyan, Y Bengio
IEEE Computer Graphics and Applications 41 (1), 8-14, 2021
272021
Quantifying the carbon emissions of machine learning. arXiv
A Lacoste, A Luccioni, V Schmidt, T Dandres
arXiv preprint arXiv:1910.09700, 2019
222019
Predicting infectiousness for proactive contact tracing
Y Bengio, P Gupta, T Maharaj, N Rahaman, M Weiss, T Deleu, E Muller, ...
arXiv preprint arXiv:2010.12536, 2020
202020
Quantifying the carbon emissions of machine learning. arXiv 2019
A Lacoste, A Luccioni, V Schmidt, T Dandres
arXiv preprint arXiv:1910.09700, 1910
181910
Faenet: Frame averaging equivariant gnn for materials modeling
AA Duval, V Schmidt, A Hernández-Garcı́a, S Miret, FD Malliaros, ...
International Conference on Machine Learning, 9013-9033, 2023
162023
CodeCarbon: estimate and track carbon emissions from machine learning computing (2021)
V Schmidt, K Goyal, A Joshi, B Feld, L Conell, N Laskaris, D Blank, ...
DOI: https://doi. org/10.5281/zenodo 4658424, 2021
162021
Quantifying the carbon emissions of machine learning
S Luccioni, V Schmidt, A Lacoste, T Dandres
NeurIPS 2019 Workshop on Tackling Climate Change with Machine Learning, 2019
162019
Estimating carbon emissions of artificial intelligence [opinion]
A Luccioni, A Lacoste, V Schmidt
IEEE Technology and Society Magazine 39 (2), 48-51, 2020
152020
Handreiking schoolexamen informatica havo/vwo
V Schmidt
SLO, Enschede, 2006
152006
Climategan: Raising climate change awareness by generating images of floods
V Schmidt, AS Luccioni, M Teng, T Zhang, A Reynaud, S Raghupathi, ...
arXiv preprint arXiv:2110.02871, 2021
112021
COVI-AgentSim: an agent-based model for evaluating methods of digital contact tracing
P Gupta, T Maharaj, M Weiss, N Rahaman, H Alsdurf, A Sharma, ...
arXiv preprint arXiv:2010.16004, 2020
112020
Using simulated data to generate images of climate change
G Cosne, A Juraver, M Teng, V Schmidt, V Vardanyan, A Luccioni, ...
arXiv preprint arXiv:2001.09531, 2020
92020
PhAST: Physics-aware, scalable, and task-specific GNNs for accelerated catalyst design
A Duval, V Schmidt, S Miret, Y Bengio, A Hernández-García, D Rolnick
arXiv preprint arXiv:2211.12020, 2022
62022
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
A Duval, SV Mathis, CK Joshi, V Schmidt, S Miret, FD Malliaros, T Cohen, ...
arXiv preprint arXiv:2312.07511, 2023
52023
Modeling cloud reflectance fields using conditional generative adversarial networks
V Schmidt, M Alghali, K Sankaran, T Yuan, Y Bengio
arXiv preprint arXiv:2002.07579, 2020
52020
Crystal-gfn: sampling crystals with desirable properties and constraints
M AI4Science, A Hernandez-Garcia, A Duval, A Volokhova, Y Bengio, ...
arXiv preprint arXiv:2310.04925, 2023
42023
Proactive contact tracing
P Gupta, T Maharaj, M Weiss, N Rahaman, H Alsdurf, N Minoyan, ...
PLOS Digital Health 2 (3), e0000199, 2023
42023
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