Homanga Bharadhwaj

research

∙ 10/12/2021

Auditing Robot Learning for Safety and Compliance during Deployment

Robots of the future are going to exhibit increasingly human-like and su...

Homanga Bharadhwaj, et al. ∙

research

∙ 09/25/2021

Auditing AI models for Verified Deployment under Semantic Specifications

Auditing trained deep learning (DL) models prior to deployment is vital ...

Homanga Bharadhwaj, et al. ∙

research

∙ 01/18/2021

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos

We present an approach for physical imitation from human videos for robo...

Haoyu Xiong, et al. ∙

research

∙ 11/27/2020

Skill Transfer via Partially Amortized Hierarchical Planning

To quickly solve new tasks in complex environments, intelligent agents n...

Kevin Xie, et al. ∙

research

∙ 10/27/2020

Conservative Safety Critics for Exploration

Safe exploration presents a major challenge in reinforcement learning (R...

Homanga Bharadhwaj, et al. ∙

research

∙ 10/19/2020

D2RL: Deep Dense Architectures in Reinforcement Learning

While improvements in deep learning architectures have played a crucial ...

Samarth Sinha, et al. ∙

research

∙ 09/25/2020

Continual Model-Based Reinforcement Learning with Hypernetworks

Effective planning in model-based reinforcement learning (MBRL) and mode...

Yizhou Huang, et al. ∙

research

∙ 09/02/2020

A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification

Clustering techniques have been proved highly suc-cessful for Takagi-Sug...

Vikas Singh, et al. ∙

research

∙ 07/01/2020

De-anonymization of authors through arXiv submissions during double-blind review

In this paper, we investigate the effects of releasing arXiv preprints o...

Homanga Bharadhwaj, et al. ∙

research

∙ 06/15/2020

Generalized Adversarially Learned Inference

Allowing effective inference of latent vectors while training GANs can g...

Yatin Dandi, et al. ∙

research

∙ 05/21/2020

LEAF: Latent Exploration Along the Frontier

Self-supervised goal proposal and reaching is a key component for explor...

Homanga Bharadhwaj, et al. ∙

research

∙ 05/21/2020

Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks

Self-supervised goal proposal and reaching is a key component of efficie...

Homanga Bharadhwaj, et al. ∙

research

∙ 04/28/2020

DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning

Visual Similarity plays an important role in many computer vision applic...

Timo Milbich, et al. ∙

research

∙ 04/28/2020

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Visual Similarity plays an important role in many computer vision applic...

Timo Milbich, et al. ∙

research

∙ 04/19/2020

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

Recent works in high-dimensional model-predictive control and model-base...

Homanga Bharadhwaj, et al. ∙

research

∙ 03/10/2020

DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Although deep learning models have achieved state-of-the-art performance...

Samarth Sinha, et al. ∙

research

∙ 11/19/2019

MANGA: Method Agnostic Neural-policy Generalization and Adaptation

In this paper we target the problem of transferring policies across mult...

Homanga Bharadhwaj, et al. ∙

research

∙ 06/07/2019

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation

In this paper, we present a domain adaptation based generative framework...

Varun Khare, et al. ∙

research

∙ 12/16/2018

New tab page recommendations cause a strong suppression of exploratory web browsing behaviors

Through a combination of experimental and simulation results, we illustr...

Homanga Bharadhwaj, et al. ∙

research

∙ 10/11/2018

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies

Learning effective visuomotor policies for robots purely from data is ch...

Homanga Bharadhwaj, et al. ∙

research

∙ 07/17/2018

Explanations for Temporal Recommendations

Recommendation systems are an integral part of Artificial Intelligence (...

Homanga Bharadhwaj, et al. ∙

research

∙ 07/17/2018

Layer-wise Relevance Propagation for Explainable Recommendations

In this paper, we tackle the problem of explanations in a deep-learning ...

Homanga Bharadhwaj, et al. ∙

Homanga Bharadhwaj

Featured Co-authors

Yoshua Bengio

Sergey Levine

Anima Anandkumar

Animesh Garg

Hugo Larochelle

Anirudh Goyal

Björn Ommer

Vikas Singh

Abhishek Kumar

Piyush Rai

Joseph Paul Cohen

Auditing Robot Learning for Safety and Compliance during Deployment

Auditing AI models for Verified Deployment under Semantic Specifications

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos

Skill Transfer via Partially Amortized Hierarchical Planning

Conservative Safety Critics for Exploration

D2RL: Deep Dense Architectures in Reinforcement Learning

Continual Model-Based Reinforcement Learning with Hypernetworks

A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification

De-anonymization of authors through arXiv submissions during double-blind review

Generalized Adversarially Learned Inference

LEAF: Latent Exploration Along the Frontier

Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks

DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization

DIBS: Diversity inducing Information Bottleneck in Model Ensembles

MANGA: Method Agnostic Neural-policy Generalization and Adaptation

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation

New tab page recommendations cause a strong suppression of exploratory web browsing behaviors

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies

Explanations for Temporal Recommendations

Layer-wise Relevance Propagation for Explainable Recommendations