Christopher Beckham

According to our database, Christopher Beckham authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploring validation metrics for offline model-based optimisation with diffusion models.

Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal

Trans. Mach. Learn. Res., 2024

Robust Guided Diffusion for Offline Black-Box Optimization.

Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Christopher Pal

CoRR, 2024

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

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., April, 2023

Conservative objective models are a special kind of contrastive divergence-based energy model.

Christopher Beckham, Christopher Pal

CoRR, 2023

Score-based Diffusion Models in Function Space.

Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar

CoRR, 2023

Parallel-mentoring for Offline Model-based Optimization.

Can Chen, Christopher Beckham, Zixuan Liu, Xue (Steve) Liu, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Towards annotation-efficient segmentation via image-to-image translation.

Eugene Vorontsov, Pavlo Molchanov, Matej Gazda, Christopher Beckham, Jan Kautz, Samuel Kadoury

Medical Image Anal., 2022

Towards good validation metrics for generative models in offline model-based optimisation.

Christopher Beckham, Alexandre Piché, David Vázquez, Christopher Pal

CoRR, 2022

Challenges in leveraging GANs for few-shot data augmentation.

Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal

CoRR, 2022

Overcoming challenges in leveraging GANs for few-shot data augmentation.

Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher Pal

Proceedings of the Conference on Lifelong Learning Agents, 2022

2019

WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j.

Steven Lang, Felipe Bravo-Marquez, Christopher Beckham, Mark A. Hall, Eibe Frank

Knowl. Based Syst., 2019

On Adversarial Mixup Resynthesis.

Christopher Beckham, Sina Honari, Vikas Verma, Alex Lamb, Farnoosh Ghadiri, R. Devon Hjelm, Yoshua Bengio, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Manifold Mixup: Better Representations by Interpolating Hidden States.

Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio

Proceedings of the 36th International Conference on Machine Learning, 2019

Adversarial Mixup Resynthesizers.

Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

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

Unsupervised Depth Estimation, 3D Face Rotation and Replacement.

Joel Ruben Antony Moniz, Christopher Beckham, Simon Rajotte, Sina Honari, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

A step towards procedural terrain generation with GANs.

Christopher Beckham, Christopher Joseph Pal

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Unimodal Probability Distributions for Deep Ordinal Classification.

Christopher Beckham, Christopher J. Pal

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Semi-Supervised Detection of Extreme Weather Events in Large Climate Datasets.

Evan Racah, Christopher Beckham, Tegan Maharaj, Prabhat, Christopher J. Pal

CoRR, 2016

A simple squared-error reformulation for ordinal classification.

Christopher Beckham, Christopher J. Pal

CoRR, 2016