Concepedia

Sharad Vikram

SV

13

Publications

1.3K

Citations

12

H-Index

2013

Active since

Affiliations

University of California San Diego(Current)

Google (United States)

University of California, Berkeley

University of Applied Sciences and Arts of Southern Switzerland

Sharad Vikram is an author at University of California San Diego specializing in engineering, computer science, and machine learning.

Top concepts

EngineeringComputer ScienceMachine LearningData ScienceArtificial IntelligenceDeep LearningComputer VisionNatural Language ProcessingRoboticsText Mining

Publications per year

2013–2023

13

Publications

13

Gemini: A Family of Highly Capable Multimodal Models

Gemini Robotics Team, Rohan Anil, Sebastian Borgeaud et al. · arXiv (Cornell University) · 2023 · 784 citations · Full text

Artificial Intelligence, Natural Language Processing, New Family +15

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

Marvin Zhang, Sharad Vikram, Laura Smith et al. · arXiv (Cornell University) · 2018 · 130 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

What Are Bayesian Neural Network Posteriors Really Like?

Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman et al. · arXiv (Cornell University) · 2021 · 71 citations · Full text

Artificial Intelligence, Bayesian Statistic, Engineering +16

Handwriting and Gestures in the Air, Recognizing on the Fly

Sharad Vikram, Li Lei · 2013 · 55 citations

What Are Bayesian Neural Network Posteriors Really Like

Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman et al. · International Conference on Machine Learning · 2021 · 32 citations

Artificial Intelligence, Bayesian Statistic, Engineering +18

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