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Joint Communication and Motion Planning for Cobots


Sep 28, 2021
Mehdi Dadvar, Keyvan Majd, Elena Oikonomou, Georgios Fainekos, Siddharth Srivastava


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Anytime Stochastic Task and Motion Policies


Aug 28, 2021
Naman Shah, Siddharth Srivastava


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Learning Causal Models of Autonomous Agents using Interventions


Aug 21, 2021
Pulkit Verma, Siddharth Srivastava

* IJCAI 2021 Workshop on Generalization in Planning 

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Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention


Aug 10, 2021
Kranti Kumar Parida, Siddharth Srivastava, Neeraj Matiyali, Gaurav Sharma

* Presented at Sight and Sound Workshop, CVPR 2021 

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Learning User-Interpretable Descriptions of Black-Box AI System Capabilities


Jul 28, 2021
Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava

* ICAPS 2021 Workshop on Knowledge Engineering for Planning and Scheduling 

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Planning for Proactive Assistance in Environments with Partial Observability


May 02, 2021
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati


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Beyond Image to Depth: Improving Depth Prediction using Echoes


Apr 03, 2021
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

* To appear in CVPR 2021 

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Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks


Mar 28, 2021
Siddharth Srivastava, Gaurav Sharma

* ICRA 2021 

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Learning Sampling Distributions for Efficient High-Dimensional Motion Planning


Dec 01, 2020
Naman Shah, Abhyudaya Srinet, Siddharth Srivastava


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Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning


Jul 10, 2020
Rushang Karia, Siddharth Srivastava

* Submitted to NIPS 2020, 11 pages, 3 figures 

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Learning Generalized Models by Interrogating Black-Box Autonomous Agents


Feb 06, 2020
Pulkit Verma, Siddharth Srivastava


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Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators


Feb 04, 2020
Sarath Sreedharan, Utkash Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati


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Balancing Goal Obfuscation and Goal Legibility in Settings with Cooperative and Adversarial Observers


May 25, 2019
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati


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Anytime Integrated Task and Motion Policies for Stochastic Environments


Apr 30, 2019
Naman Shah, Siddharth Srivastava


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Few Shot Speaker Recognition using Deep Neural Networks


Apr 17, 2019
Prashant Anand, Ajeet Kumar Singh, Siddharth Srivastava, Brejesh Lall


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An Online Learning Approach for Dengue Fever Classification


Apr 17, 2019
Siddharth Srivastava, Sumit Soman, Astha Rai


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Learning Critical Regions for Robot Planning using Convolutional Neural Networks


Apr 15, 2019
Daniel Molina, Kislay Kumar, Siddharth Srivastava


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DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds


Mar 27, 2019
Siddharth Srivastava, Brejesh Lall


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Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles


Mar 27, 2019
Siddharth Srivastava, Frederic Jurie, Gaurav Sharma


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Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice


Mar 19, 2019
Sarath Sreedharan, Siddharth Srivastava, David Smith, Subbarao Kambhampati


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A Unified Framework for Planning in Adversarial and Cooperative Environments


Jul 26, 2018
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati

* 8 pages, 2 figures 

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Learning Generalized Reactive Policies using Deep Neural Networks


Jul 25, 2018
Edward Groshev, Maxwell Goldstein, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel


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Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms


Jun 08, 2018
Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon Du, Stuart Russell

* Accepted by ICML 2018 

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Large Scale Novel Object Discovery in 3D


Feb 20, 2018
Siddharth Srivastava, Gaurav Sharma, Brejesh Lall

* Accepted for publication at IEEE Winter Conference on Applications of Computer Vision (WACV 2018) 

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Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations


Feb 19, 2018
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati


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An Anytime Algorithm for Task and Motion MDPs


Feb 16, 2018
Siddharth Srivastava, Nishant Desai, Richard Freedman, Shlomo Zilberstein

* 7 pages, 4 figures 

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Enhanced Characterness for Text Detection in the Wild


Dec 04, 2017
Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall


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Object Classification using Ensemble of Local and Deep Features


Dec 04, 2017
Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall, Kamlesh Jaiswal

* Accepted for publication at Ninth International Conference on Advances in Pattern Recognition 

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