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Srivatsan Srinivasan
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Journal Articles
- 2022
- [j5]Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet:
An empirical study of implicit regularization in deep offline RL. Trans. Mach. Learn. Res. 2022 (2022) - 2020
- [j4]Srivatsan Srinivasan
:
Wearable Assistive Devices for the Visually Challenged [Student's Corner]. IEEE Robotics Autom. Mag. 27(1): 12-15 (2020) - 2019
- [j3]Srivatsan Srinivasan
:
Misty-A Development Platform for Socially Assistive Robots [Student's Corner]. IEEE Robotics Autom. Mag. 26(2): 103-105 (2019) - 2018
- [j2]Srivatsan Srinivasan
:
Introducing the New Student Activities Committee. IEEE Robotics Autom. Mag. 25(3): 106-115 (2018) - [j1]Srivatsan Srinivasan
:
Raising Awareness for Robotics-Aided Ocean Conservation [Student Corner]. IEEE Robotics Autom. Mag. 25(4): 115-116 (2018)
Conference and Workshop Papers
- 2023
- [c6]Srivatsan Srinivasan, Andrew Boutros, Fatemehsadat Mahmoudi, Vaughn Betz:
Placement Optimization for NoC-Enhanced FPGAs. FCCM 2023: 41-51 - 2021
- [c5]Srivatsan Srinivasan, Chris Dyer:
Better Chinese Sentence Segmentation with Reinforcement Learning. ACL/IJCNLP (Findings) 2021: 293-302 - 2020
- [c4]Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokrá, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer:
The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP 2020: 326-337 - 2019
- [c3]Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez:
Truly Batch Apprenticeship Learning with Deep Successor Features. IJCAI 2019: 5909-5915 - 1999
- [c2]Srivatsan Srinivasan, Lizy Kurian John:
On the Use of Pseudorandom Sequences for High Speed Resource Allocators in Superscalar Processors. ICCD 1999: 124-130 - [c1]Srivatsan Srinivasan, Parminder Singh Chhabra, Praveen Kumar Jaini, Adnan Aziz, Lizy Kurian John:
Formal Verification of a Snoop-Based Cache Coherence Protocol Using Symbolic Model Checking. VLSI Design 1999: 288-293
Informal and Other Publications
- 2024
- [i8]Soham De, Samuel L. Smith, Anushan Fernando, Aleksandar Botev, George-Cristian Muraru, Albert Gu, Ruba Haroun, Leonard Berrada, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, Arnaud Doucet, David Budden, Yee Whye Teh, Razvan Pascanu, Nando de Freitas, Caglar Gulcehre:
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models. CoRR abs/2402.19427 (2024) - [i7]Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas:
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR abs/2404.07839 (2024) - 2023
- [i6]Michaël Mathieu, Sherjil Ozair, Srivatsan Srinivasan, Çaglar Gülçehre, Shangtong Zhang, Ray Jiang, Tom Le Paine, Richard Powell, Konrad Zolna, Julian Schrittwieser, David H. Choi, Petko Georgiev, Daniel Toyama, Aja Huang, Roman Ring, Igor Babuschkin, Timo Ewalds, Mahyar Bordbar, Sarah Henderson, Sergio Gómez Colmenarejo, Aäron van den Oord, Wojciech Marian Czarnecki, Nando de Freitas, Oriol Vinyals:
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR abs/2308.03526 (2023) - [i5]Çaglar Gülçehre, Tom Le Paine, Srivatsan Srinivasan, Ksenia Konyushkova, Lotte Weerts, Abhishek Sharma, Aditya Siddhant, Alex Ahern, Miaosen Wang, Chenjie Gu, Wolfgang Macherey, Arnaud Doucet, Orhan Firat, Nando de Freitas:
Reinforced Self-Training (ReST) for Language Modeling. CoRR abs/2308.08998 (2023) - 2022
- [i4]Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matt Hoffman, Razvan Pascanu, Arnaud Doucet:
An Empirical Study of Implicit Regularization in Deep Offline RL. CoRR abs/2207.02099 (2022) - 2019
- [i3]Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez:
Truly Batch Apprenticeship Learning with Deep Successor Features. CoRR abs/1903.10077 (2019) - [i2]Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez:
Output-Constrained Bayesian Neural Networks. CoRR abs/1905.06287 (2019) - 2018
- [i1]Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez:
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR abs/1805.12298 (2018)
Coauthor Index
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