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Christopher Beckham
Christopher Beckham
Institut Québécois d'Intelligence Artificielle
Bestätigte E-Mail-Adresse bei polymtl.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Manifold mixup: Better representations by interpolating hidden states
V Verma, A Lamb, C Beckham, A Najafi, I Mitliagkas, D Lopez-Paz, ...
International conference on machine learning, 6438-6447, 2019
13672019
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
E Racah, C Beckham, T Maharaj, SE Kahou, M Prabhat, C Pal
Advances in Neural Information Processing Systems, 3402-3413, 2017
2502017
Wekadeeplearning4j: A deep learning package for WEKA based on Deeplearning4j
S Lang, F Bravo-Marquez, C Beckham, M Hall, E Frank
Knowledge-Based Systems 178, 48-50, 2019
1382019
Unimodal probability distributions for deep ordinal classification
C Beckham, C Pal
International Conference on Machine Learning, 411-419, 2017
872017
On adversarial mixup resynthesis
C Beckham, S Honari, V Verma, AM Lamb, F Ghadiri, RD Hjelm, Y Bengio, ...
Advances in neural information processing systems 32, 2019
672019
Unsupervised depth estimation, 3D face rotation and replacement
JRA Moniz, C Beckham, S Rajotte, S Honari, C Pal
Advances in Neural Information Processing Systems, 9736-9746, 2018
352018
A step towards procedural terrain generation with GANs
C Beckham, C Pal
arXiv preprint arXiv:1707.03383, 2017
312017
A simple squared-error reformulation for ordinal classification
C Beckham, C Pal
arXiv preprint arXiv:1612.00775, 2016
292016
Score-based diffusion models in function space
JH Lim, NB Kovachki, R Baptista, C Beckham, K Azizzadenesheli, ...
arXiv preprint arXiv:2302.07400, 2023
272023
Semi-supervised detection of extreme weather events in large climate datasets
E Racah, C Beckham, T Maharaj, C Pal
232016
WekaPyScript: Classification, regression, and filter schemes for WEKA implemented in Python
C Beckham, M Hall, E Frank
Journal of Open Research Software 4 (1), e33-e33, 2016
152016
Towards annotation-efficient segmentation via image-to-image translation
E Vorontsov, P Molchanov, M Gazda, C Beckham, J Kautz, S Kadoury
Medical Image Analysis 82, 102624, 2022
142022
Boosting segmentation with weak supervision from image-to-image translation
E Vorontsov, P Molchanov, W Byeon, S De Mello, V Jampani, MY Liu, ...
arXiv preprint arXiv:1904.01636 42, 2019
132019
Deep learning for extreme weather detection
M Prabhat, E Racah, J Biard, Y Liu, M Mudigonda, K Kashinath, ...
AGU Fall Meeting Abstracts 2017, IN11A-0022, 2017
72017
Deep learning for detecting extreme weather patterns
M Mudigonda, P Ram, K Kashinath, E Racah, A Mahesh, Y Liu, ...
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
62021
Towards semi-supervised segmentation via image-to-image translation
E Vorontsov, P Molchanov, C Beckham, W Byeon, SD Mello, V Jampani, ...
arXiv preprint arXiv:1904.01636, 2019
62019
Parallel-mentoring for offline model-based optimization
CS Chen, C Beckham, Z Liu, XS Liu, C Pal
Advances in Neural Information Processing Systems 36, 2024
52024
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
C Beckham, M Weiss, F Golemo, S Honari, D Nowrouzezahrai, C Pal
Pattern Recognition, 109209, 2022
52022
ClimateNet: a machine learning dataset for climate science research
M Prabhat, J Biard, S Ganguly, S Ames, K Kashinath, SK Kim, S Kahou, ...
AGU fall meeting abstracts 2017, IN13E-01, 2017
42017
Conservative objective models are a special kind of contrastive divergence-based energy model
C Beckham, C Pal
arXiv preprint arXiv:2304.03866, 2023
22023
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