Evan W. Becker

Evan W. Becker

PhD Student in Computer Science

University of California, Los Angeles (UCLA)


I am a third year PhD student at the University of California, Los Angeles (UCLA) in the Department of Computer Science. My advisors are Alyson Fletcher and Sundeep Rangan. My current research focus is on understanding the dynamics of training deep generative models in high-dimensional regimes. I am especially interested in the implicit bias and regularization of deep learning, as well as uncovering necessary conditions for convergence and generalization.

Previously I was a Stamps Scholar at the University of Pittsburgh and earned a B.Sc. in Electrical Engineering in 2020.

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  • Machine Learning Theory
  • High-Dimensional Statistics
  • Signaling in Biological Networks
  • PhD in Computer Science, Prospective

    University of California, Los Angeles

  • BSc in Electrical Engineering, 2020

    University of Pittsburgh

Recent Publications

Check out my recent publications!

(2022). Conditioned Spatial Downscaling of Climate Variables. NeurIPS 2022 AI for Science: Progress and Promises.

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(2022). Instability and Local Minima in GAN Training with Kernel Discriminators. In NeurIPS.

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