Ben Poole
I'm a research scientist at Google Brain, where I work on deep generative models and understanding neural networks.
I did my PhD at Stanford University advised by Surya Ganguli in the Neural Dynamics and Computation lab. My thesis was on computational tools to develop a better understanding of both biological and aritficial neural networks. I did my undergrad at Carnegie Mellon University, where I was advised by Tai Sing Lee. I've worked at DeepMind, Google Research, Intel Research Pittsburgh, and the NYU Center for Neural Science.
Check out my website.Research Areas
Authored Publications
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Variational Diffusion Models
Diederik P. Kingma
Jonathan Ho
Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (2021)
Score-based generative modeling through stochastic differential equations
Yang Song
Jascha Sohl-dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
ICLR 2021 (2021) (to appear)
On Implicit Regularization in β-VAE
Abhishek Kumar
Proceedings of the 37th International Conference on Machine Learning (ICML), 2020
What makes for good views for contrastive representation learning?
Dilip Krishnan
Phillip Isola
Yonglong Tian
NeurIPS 2020 (to appear)
