Ashwin Balakrishna

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 160 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 147 citations into it
• Computer Vision and Pattern Recognition — 119 citations into it
• Reinforcement Learning — 72 citations into it
• Control and Systems Engineering — 57 citations into it
• Evaluation & Benchmarks — 18 citations into it
• Computational Mechanics — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Ashwin Balakrishna trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Sergey Levine
8. Yann LeCun
9. Ilya Sutskever
10. Richard S. Sutton

Papers from Ashwin Balakrishna's perspective

Ordered by how strongly the researchers Ashwin Balakrishna trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data (2020) — 145 citations
• OpenVLA: An Open-Source Vision-Language-Action Model (2024) — 2,794 citations
• Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones (2020) — 307 citations
• Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models (2024) — 367 citations
• Policy Gradient Bayesian Robust Optimization for Imitation Learning (2021) — 20 citations
• Deep Imitation Learning of Sequential Fabric Smoothing Policies (2019) — 30 citations