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Jonathan Ho Jonathan Ho I received my PhD in computer science from UC Berkeley in 2020, advised by Pieter Abbeel . My research interests are unsupervised learning and reinforcement learning. Preprints Axial attention in multidimensional transformers Jonathan Ho*, Nal Kalchbrenner*, Dirk Weissenborn, Tim Salimans [arXiv] Natural image manipulation for autoregressive models using Fisher scores Wilson Yan, Jonathan Ho, Pieter Abbeel [arXiv] Evolution strategies as a scalable alternative to reinforcement learning Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, Ilya Sutskever [arXiv] Publications Denoising diffusion probabilistic models Jonathan Ho, Ajay Jain, Pieter Abbeel Neural Information Processing Systems, 2020 [arXiv] [website] [code] Compression with flows via local bits-back coding Jonathan Ho, Evan Lohn, Pieter Abbeel Neural Information Processing Systems, 2019 [arXiv] Flow++: Improving flow-based generative models with variatio...
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