Ryan Sepassi

Computer Science · Physical Sciences

8h-index2.9kcitations8works0.02yr avg
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Research Topics

Topic Modeling(4), Natural Language Processing Techniques(4), Advanced Neural Network Applications(2), Parallel Computing and Optimization Techniques(2), Reinforcement Learning in Robotics(2)

Publications8 total

PaLM: Scaling Language Modeling with Pathways
arXiv (Cornell University)·2022· 2.1k citedOpen Access
Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$
arXiv (Cornell University)·2022· 48 citedOpen Access
Pathways: Asynchronous Distributed Dataflow for ML
arXiv (Cornell University)·2022· 37 citedOpen Access
Model Based Reinforcement Learning for Atari
International Conference on Learning Representations·2020· 85 cited
Model-Based Reinforcement Learning for Atari
arXiv (Cornell University)·2019· 420 citedOpen Access
Mesh-TensorFlow: Deep Learning for Supercomputers
arXiv (Cornell University)·2018· 52 citedOpen Access
Tensor2Tensor for Neural Machine Translation
arXiv (Cornell University)·2018· 14 citedOpen Access
Generating Wikipedia by Summarizing Long Sequences
arXiv (Cornell University)·2018· 74 citedOpen Access

Frequent Co-authors

Noam Shazeer(5), Łukasz Kaiser(4), Aakanksha Chowdhery(3), Henryk Michalewski(3), Brennan Saeta(3), Afroz Mohiuddin(3), Sharan Narang(2), Maarten Bosma(2), Gaurav Mishra(2), Adam Roberts(2), Paul Barham(2), Hyung Won Chung(2), Parker Schuh(2), Sasha Tsvyashchenko(2), James T. Bradbury(2), Jacob Austin(2), Michael Isard(2), Anselm Levskaya(2), Sanjay Ghemawat(2), Xavier García(2)