Sharad Vikram - RankMe

18 papers A* 4A 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
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
2024	J	`jnl`	Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability. CoRR Jiri Hron, Laura Culp, Gamaleldin F. Elsayed, Rosanne Liu, Ben Adlam, Maxwell L. Bileschi, Bernd Bohnet, JD Co-Reyes, Noah Fiedel, C. Daniel Freeman, Izzeddin Gur, Kathleen Kenealy, Jaehoon Lee, Peter J. Liu, Gaurav Mishra, Igor Mordatch, Azade Nova, Roman Novak, Aaron Parisi, Jeffrey Pennington, Alex Rizkowsky, Isabelle Simpson, Hanie Sedghi, Jascha Sohl-Dickstein, Kevin Swersky, Sharad Vikram, Tris Warkentin, Lechao Xiao, Kelvin Xu, Jasper Snoek, Simon Kornblith
2023	A*	`conf`	Training Chain-of-Thought via Latent-Variable Inference. NeurIPS Matthew Douglas Hoffman, Du Phan, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
2023	J	`jnl`	Training Chain-of-Thought via Latent-Variable Inference. CoRR Du Phan, Matthew D. Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
2021	A	`conf`	Automatic structured variational inference. AISTATS Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel van Gerven
2021	—	`conf`	Evaluating Approximate Inference in Bayesian Deep Learning. NeurIPS (Competition and Demos) Andrew Gordon Wilson, Pavel Izmailov, Matthew D. Hoffman, Yarin Gal, Yingzhen Li, Melanie F. Pradier, Sharad Vikram, Andrew Y. K. Foong, Sanae Lotfi, Sebastian Farquhar
2021	A*	`conf`	What Are Bayesian Neural Network Posteriors Really Like? ICML Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman, Andrew Gordon Wilson
2021	J	`jnl`	What Are Bayesian Neural Network Posteriors Really Like? CoRR Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman, Andrew Gordon Wilson
2019	J	`jnl`	How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? CoRR Quan Vuong, Sharad Vikram, Hao Su, Sicun Gao, Henrik I. Christensen
2019	A*	`conf`	SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning. ICML Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine
2019	A	`conf`	The LORACs Prior for VAEs: Letting the Trees Speak for the Data. AISTATS Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson
2018	J	`jnl`	SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning. CoRR Marvin Zhang, Sharad Vikram, Laura Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine
2018	J	`jnl`	The LORACs prior for VAEs: Letting the Trees Speak for the Data. CoRR Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson
2017	—	`conf`	Estimating Reactions and Recommending Products with Generative Models of Reviews. IJCNLP(1) Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley
2016	A*	`conf`	Interactive Bayesian Hierarchical Clustering. ICML Sharad Vikram, Sanjoy Dasgupta
2016	J	`jnl`	Interactive Bayesian Hierarchical Clustering. CoRR Sharad Vikram, Sanjoy Dasgupta
2015	J	`jnl`	Capturing Meaning in Product Reviews with Character-Level Generative Text Models. CoRR Zachary Chase Lipton, Sharad Vikram, Julian J. McAuley
2013	—	`conf`	Writing and sketching in the air, recognizing and controlling on the fly. CHI Extended Abstracts Sharad Vikram, Lei Li, Stuart Russell