Christopher Beckham

Computer Science · Physical Sciences

14h-index1.1kcitations40works1.02yr avg
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Research Topics

Anomaly Detection Techniques and Applications(7), Generative Adversarial Networks and Image Synthesis(6), Meteorological Phenomena and Simulations(5), Multimodal Machine Learning Applications(5), Advanced Neural Network Applications(4)

Publications40 total

DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design
arXiv (Cornell University)·2024· 1 citedOpen Access
Long-Term Camelid Husbandry and Agricultural Intensification in the Southern Nasca Region, Peru: Insight from Faunal Isotopes
Latin American Antiquity·2023· 3 citedOpen Access
Parallel-mentoring for Offline Model-based Optimization
arXiv (Cornell University)·2023Open Access
Conservative objective models are a special kind of contrastive divergence-based energy model
arXiv (Cornell University)·2023Open Access
Score-based Diffusion Models in Function Space
arXiv (Cornell University)·2023· 6 citedOpen Access
Defending Intellectual Work in Schools
Principia A Journal of Classical Education·2023Open Access
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
arXiv (Cornell University)·2022Open Access
Visual question answering from another perspective: CLEVR mental rotation tests
Pattern Recognition·2022· 5 citedOpen Access
Exploring validation metrics for offline model-based optimisation with diffusion models
arXiv (Cornell University)·2022Open Access
Towards annotation-efficient segmentation via image-to-image translation
Medical Image Analysis·2022· 20 cited
Overcoming challenges in leveraging GANs for few-shot data augmentation
arXiv (Cornell University)·2022Open Access
Deep Learning for Detecting Extreme Weather Patterns
2021· 13 cited
Beyond College and Career Readiness: Education's Broader Purposes.
Critical questions in education·2020Open Access
WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j
Knowledge-Based Systems·2019· 121 cited
Towards annotation-efficient segmentation via image-to-image translation
arXiv (Cornell University)·2019· 1 citedOpen Access
Towards semi-supervised segmentation via image-to-image translation
arXiv (Cornell University)·2019· 4 citedOpen Access
Adversarial Mixup Resynthesizers
PolyPublie (École Polytechnique de Montréal)·2019· 18 citedOpen Access
On Adversarial Mixup Resynthesis
PolyPublie (École Polytechnique de Montréal)·2019· 23 citedOpen Access
Deep Learning recognizes weather and climate patterns
2018
Manifold Mixup: Learning Better Representations by Interpolating Hidden States
2018· 29 cited
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Frequent Co-authors

Christopher Pal(19), Tegan Maharaj(7), Samira Ebrahimi Kahou(6), Sina Honari(6), Alex Lamb(5), Yoshua Bengio(4), Evan Racah(4), Vikas Verma(4), Jan Kautz(4), Karthik Kashinath(4), Kenneth E. Kunkel(4), Michael Wehner(4), William D. Collins(4), Ioannis Mitliagkas(3), Prabhat(3), Eugene Vorontsov(3), Pavlo Molchanov(3), Samuel Kadoury(3), Mayur Mudigonda(3), Florian Golemo(3)