Sharad Vikram

According to our database, Sharad Vikram authored at least 14 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability.

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

CoRR, 2024

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.

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

CoRR, 2024

2023

Training Chain-of-Thought via Latent-Variable Inference.

Matthew Douglas Hoffman, Du Phan, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Evaluating Approximate Inference in Bayesian Deep Learning.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

What Are Bayesian Neural Network Posteriors Really Like?

Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman, Andrew Gordon Wilson

Proceedings of the 38th International Conference on Machine Learning, 2021

Automatic structured variational inference.

Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel van Gerven

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?

Quan Vuong, Sharad Vikram, Hao Su, Sicun Gao, Henrik I. Christensen

CoRR, 2019

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning.

Marvin Zhang, Sharad Vikram, Laura M. Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine

Proceedings of the 36th International Conference on Machine Learning, 2019

The LORACs Prior for VAEs: Letting the Trees Speak for the Data.

Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning.

Marvin Zhang, Sharad Vikram, Laura M. Smith, Pieter Abbeel, Matthew J. Johnson, Sergey Levine

CoRR, 2018

2017

Estimating Reactions and Recommending Products with Generative Models of Reviews.

Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016

Interactive Bayesian Hierarchical Clustering.

Sharad Vikram, Sanjoy Dasgupta

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Capturing Meaning in Product Reviews with Character-Level Generative Text Models.

Zachary Chase Lipton, Sharad Vikram, Julian J. McAuley

CoRR, 2015

2013

Writing and sketching in the air, recognizing and controlling on the fly.

Sharad Vikram, Lei Li, Stuart Russell

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013