Shantanu Thakoor
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Topic Modeling, Advanced Graph Neural Networks, Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → The Marabou Framework for Verification and Analysis of Deep Neural Networks(2019)471 cited
- → Gemma 2: Improving Open Language Models at a Practical Size(2024)127 cited
- Adversarial Examples for Natural Language Classification Problems(2018)
- Bootstrapped Representation Learning on Graphs(2021)
- → Large-Scale Representation Learning on Graphs via Bootstrapping(2021)30 cited
- → Large-scale graph representation learning with very deep GNNs and self-supervision(2021)14 cited
- → Counterfactual Credit Assignment in Model-Free Reinforcement Learning(2020)8 cited
- → Geometric Entropic Exploration(2021)8 cited
- → BYOL-Explore: Exploration by Bootstrapped Prediction(2022)5 cited
- → Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis(2023)4 cited