Homanga Bharadhwaj
13 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (14)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(7)
🚀
Conference Pioneer
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
💎
Century Club
(13)
Conferences
ICLR (4)
AAAI (2)
CORL (2)
ECCV (2)
ICML (1)
L4DC (1)
WACV (1)
Top co-authors
Keywords
zero-shot learning
(1)
transfer learning
(1)
information bottleneck
(1)
gradient-based optimization
(1)
self-supervised learning
(1)
adversarial training
(1)
model predictive control
(1)
skill planning
(1)
exploration planning
(1)
latent skill discovery
(1)
ai safety
(1)
adversarial domain adaptation
(1)
robot learning
(1)
gradient descent
(1)
trajectory optimization
(1)
model-based reinforcement learning
(1)
generative model
(1)
latent variable
(1)
out-of-distribution detection
(1)
generative adversarial network
(1)
Papers
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation
CORL 2025
Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation
ECCV 2024
Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
ICML 2024
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
ICLR 2023
Information Prioritization through Empowerment in Visual Model-based RL
ICLR 2022
Auditing Robot Learning for Safety and Compliance during Deployment
CORL 2021
Generalized Adversarially Learned Inference
AAAI 2021
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
AAAI 2021
Latent Skill Planning for Exploration and Transfer
ICLR 2021
Conservative Safety Critics for Exploration
ICLR 2021
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
ECCV 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
L4DC 2020
A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation
WACV 2020