Srivatsan Srinivasan

19 papers A* 1C 1Misc 2Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models. CoRR 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
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR 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
2023	J	`jnl`	AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning. CoRR 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
2023	Misc	`conf`	Placement Optimization for NoC-Enhanced FPGAs. FCCM Srivatsan Srinivasan, Andrew Boutros, Fatemehsadat Mahmoudi, Vaughn Betz
2023	J	`jnl`	Reinforced Self-Training (ReST) for Language Modeling. CoRR 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
2022	J	`jnl`	An Empirical Study of Implicit Regularization in Deep Offline RL. CoRR Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matt Hoffman, Razvan Pascanu, Arnaud Doucet
2022	J	`jnl`	An empirical study of implicit regularization in deep offline RL. Trans. Mach. Learn. Res. Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet
2021	—	`conf`	Better Chinese Sentence Segmentation with Reinforcement Learning. ACL/IJCNLP (Findings) Srivatsan Srinivasan, Chris Dyer
2020	—	`conf`	The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP 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
2020	J	`jnl`	Wearable Assistive Devices for the Visually Challenged [Student's Corner]. IEEE Robotics Autom. Mag. Srivatsan Srinivasan
2019	J	`jnl`	Misty-A Development Platform for Socially Assistive Robots [Student's Corner]. IEEE Robotics Autom. Mag. Srivatsan Srinivasan
2019	J	`jnl`	Output-Constrained Bayesian Neural Networks. CoRR Wanqian Yang, Lars Lorch, Moritz A. Graule, Srivatsan Srinivasan, Anirudh Suresh, Jiayu Yao, Melanie F. Pradier, Finale Doshi-Velez
2019	A*	`conf`	Truly Batch Apprenticeship Learning with Deep Successor Features. IJCAI Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez
2019	J	`jnl`	Truly Batch Apprenticeship Learning with Deep Successor Features. CoRR Donghun Lee, Srivatsan Srinivasan, Finale Doshi-Velez
2018	J	`jnl`	Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR 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
2018	J	`jnl`	Introducing the New Student Activities Committee. IEEE Robotics Autom. Mag. Srivatsan Srinivasan
2018	J	`jnl`	Raising Awareness for Robotics-Aided Ocean Conservation [Student Corner]. IEEE Robotics Autom. Mag. Srivatsan Srinivasan
1999	Misc	`conf`	Formal Verification of a Snoop-Based Cache Coherence Protocol Using Symbolic Model Checking. VLSI Design Srivatsan Srinivasan, Parminder Singh Chhabra, Praveen Kumar Jaini, Adnan Aziz, Lizy Kurian John
1999	C	`conf`	On the Use of Pseudorandom Sequences for High Speed Resource Allocators in Superscalar Processors. ICCD Srivatsan Srinivasan, Lizy Kurian John