Sotabase

Career

· Research Scientist, DeepMind2020–
· PhD in Electrical Engineering, Stanford University2016–2022
· Visiting Scholar, Stanford University2015–
· Bachelors in Electrical Engineering with Honours, Minor in Computer Science, Indian Institute of Technology Bombay2012–2016

Publications (19)

Reinforcement Learning, Bit by Bit
Found. Trends Mach. Learn. · 2021
78
cited
Hypermodels for Exploration
International Conference on Learning Representations · 2020
49
cited
Motion-Based Object Segmentation Based on Dense RGB-D Scene Flow
IEEE Robotics and Automation Letters · 2018
39
cited
Efficient Exploration for LLMs
International Conference on Machine Learning · 2024
37
cited
Approximate Thompson Sampling via Epistemic Neural Networks
Conference on Uncertainty in Artificial Intelligence · 2023
27
cited
From Predictions to Decisions: The Importance of Joint Predictive Distributions
2021
27
cited
The Neural Testbed: Evaluating Joint Predictions
Neural Information Processing Systems · 2021
25
cited
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping
Trans. Mach. Learn. Res. · 2022
21
cited
Motion Planning for Point-to-Point Navigation of Spherical Robot Using Position Feedback
IEEE/ASME transactions on mechatronics · 2019
16
cited
Probabilistic Approach for Visual Homing of a Mobile Robot in the Presence of Dynamic Obstacles
IEEE transactions on industrial electronics (1982. Print) · 2016
14
cited
Evaluating High-Order Predictive Distributions in Deep Learning
Conference on Uncertainty in Artificial Intelligence · 2022
13
cited
Transcriptomics and chromatin accessibility in multiple African population samples
bioRxiv · 2023
12
cited
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?
arXiv.org · 2021
10
cited
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing
Journal of machine learning research · 2015
9
cited
The Neural Testbed: Evaluating Predictive Distributions
2022
8
cited
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
AAAI Conference on Artificial Intelligence · 2019
5
cited
Discrete time position feedback based steering control for autonomous homing of a mobile robot
2016 12th IEEE International Conference on Control and Automation (ICCA) · 2016
2
cited
Robustness of Epinets against Distributional Shifts
arXiv.org · 2022
Sparse Regression using Compressive Sensing with Input Shaping
2018
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Vikranth Reddy Dwaracherla | Researcher Profile | Sotabase | Sotabase