A simple squared-error reformulation for ordinal classification. - Christopher Beckham; Christopher J. Pal (CoRR, 2016)

Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets. - Evan Racah; Christopher Beckham; Tegan Maharaj; Prabhat; Christopher J. Pal (CoRR, 2016)

Unimodal Probability Distributions for Deep Ordinal Classification. - Christopher Beckham; Christopher J. Pal (ICML, 2017)

ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events. - Evan Racah; Christopher Beckham; Tegan Maharaj; Samira Ebrahimi Kahou; Prabhat; Chris Pal (NIPS, 2017)

A step towards procedural terrain generation with GANs. - Christopher Beckham; Christopher Joseph Pal (CoRR, 2017)

Unsupervised Depth Estimation, 3D Face Rotation and Replacement. - Joel Ruben Antony Moniz; Christopher Beckham; Simon Rajotte; Sina Honari; Chris Pal (NeurIPS, 2018)

Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer. - Vikas Verma; Alex Lamb; Christopher Beckham; Aaron C. Courville; Ioannis Mitliagkas; Yoshua Bengio (CoRR, 2018)

Adversarial Mixup Resynthesizers. - Christopher Beckham; Sina Honari; Alex Lamb; Vikas Verma; Farnoosh Ghadiri; R. Devon Hjelm; Christopher J. Pal (DGS@ICLR, 2019)

Manifold Mixup: Better Representations by Interpolating Hidden States. - Vikas Verma; Alex Lamb; Christopher Beckham; Amir Najafi 002; Ioannis Mitliagkas; David Lopez-Paz; Yoshua Bengio (ICML, 2019)

On Adversarial Mixup Resynthesis. - Christopher Beckham; Sina Honari; Vikas Verma; Alex Lamb; Farnoosh Ghadiri; R. Devon Hjelm; Yoshua Bengio; Chris Pal (NeurIPS, 2019)

WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j. - Steven Lang; Felipe Bravo-Marquez; Christopher Beckham; Mark Hall 002; Eibe Frank (Knowl. Based Syst., 2019)

Overcoming challenges in leveraging GANs for few-shot data augmentation. - Christopher Beckham; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai; Christopher Pal (CoLLAs, 2022)

Challenges in leveraging GANs for few-shot data augmentation. - Christopher Beckham; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai; Christopher J. Pal (CoRR, 2022)

Towards good validation metrics for generative models in offline model-based optimisation. - Christopher Beckham; Alexandre Piché; David Vázquez 001; Christopher Pal (CoRR, 2022)

Towards annotation-efficient segmentation via image-to-image translation. - Eugene Vorontsov; Pavlo Molchanov 001; Matej Gazda; Christopher Beckham; Jan Kautz; Samuel Kadoury (Medical Image Anal., 2022)

Parallel-mentoring for Offline Model-based Optimization. - Can Chen 005; Christopher Beckham; Zixuan Liu 001; Xue (Steve) Liu; Chris Pal (NeurIPS, 2023)

Score-based Diffusion Models in Function Space. - Jae Hyun Lim 001; Nikola B. Kovachki; Ricardo Baptista; Christopher Beckham; Kamyar Azizzadenesheli; Jean Kossaifi; Vikram Voleti; Jiaming Song; Karsten Kreis; Jan Kautz; Christopher Pal; Arash Vahdat; et al. (CoRR, 2023)

Conservative objective models are a special kind of contrastive divergence-based energy model. - Christopher Beckham; Christopher Pal (CoRR, 2023)

Visual question answering from another perspective: CLEVR mental rotation tests. - Christopher Beckham; Martin Weiss; Florian Golemo; Sina Honari; Derek Nowrouzezahrai; Christopher Pal (Pattern Recognit., 2023)

DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design. - Zhi Hao Luo; Luis Lara; Ge Ya Luo; Florian Golemo; Christopher Beckham; Christopher Pal (CoRR, 2024)

Exploring validation metrics for offline model-based optimisation with diffusion models. - Christopher Beckham; Alexandre Piché; David Vázquez 001; Christopher Pal (Trans. Mach. Learn. Res., 2024)

Robust Guided Diffusion for Offline Black-Box Optimization. - Can Chen 005; Christopher Beckham; Zixuan Liu 001; Xue Liu 001; Christopher Pal (Trans. Mach. Learn. Res., 2024)