Siddharth Srivastava

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 117

Top Venues

CoRR

ICALT

AAAI

ICRA

Publications

Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun K. Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. ICRA (2024)
Siddharth Srivastava, Gaurav Sharma
OmniVec: Learning robust representations with cross modal sharing. WACV (2024)
Rushang Karia, Pulkit Verma, Alberto Speranzon, Siddharth Srivastava
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings. CoRR (2024)
Pulkit Verma, Rushang Karia, Siddharth Srivastava
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings. NeurIPS (2023)
Siddharth Srivastava, Gaurav Sharma
OmniVec: Learning robust representations with cross modal sharing. CoRR (2023)
Vikrant Dewangan, Tushar Choudhary, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun Kumar Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. CoRR (2023)
Siddharth Srivastava
Hierarchical Decompositions and Termination Analysis for Generalized Planning. J. Artif. Intell. Res. 77 (2023)
Siddharth Srivastava, Anurag Tripathi
DiscSumm: A Discourse Based Saliency Model to Generate Abstract Summaries for Conversation. SMC (2023)
Pulkit Verma, Rushang Karia, Siddharth Srivastava
Autonomous Capability Assessment of Black-Box Sequential Decision-Making Systems. CoRR (2023)
Rajani Maurya, Siddharth Srivastava, Neelam Srivastava
Triple-Output current-mode on-chip Filter Design and Analysis for VHF-band Applications. ICCCNT (2023)
Siddharth Srivastava, Swati Bhugra, Vinay Kaushik, Brejesh Lall
Hierarchical Multi-task Learning via Task Affinity Groupings. ICIP (2023)
Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava
Conditional abstraction trees for sample-efficient reinforcement learning. UAI (2023)
Siddharth Srivastava, Tadinada Vankata Prabhakar
The KP-Traversal Scheme. ICALT (2022)
Rushang Karia, Siddharth Srivastava
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems. CoRR (2022)
Siddharth Srivastava, Tadinada Vankata Prabhakar
Micro-Tutorial: A Strategy for Integrating Error Handling and Concept Application Skills in Traditional Micro-Lecturing Process. ICALT (2022)
Rushang Karia, Siddharth Srivastava
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems. IJCAI (2022)
Naman Shah, Siddharth Srivastava
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. CoRR (2022)
Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava
Differential Assessment of Black-Box AI Agents. CoRR (2022)
Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems. NeurIPS (2022)
Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations. ICLR (2022)
Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava
Preliminary Results on Using Abstract AND-OR Graphs for Generalized Solving of Stochastic Shortest Path Problems. CoRR (2022)
Naman Shah, Siddharth Srivastava
Multi-Task Option Learning and Discovery for Stochastic Path Planning. CoRR (2022)
Mehdi Dadvar, Keyvan Majd, Elena Oikonomou, Georgios Fainekos, Siddharth Srivastava
Joint Communication and Motion Planning for Cobots. ICRA (2022)
Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning. CoRR (2022)
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention. WACV (2022)
Siddharth Srivastava
Hierarchical Termination Analysis for Generalized Planning. CoRR (2022)
Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava
Differential Assessment of Black-Box AI Agents. AAAI (2022)
Naman Shah, Siddharth Srivastava
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. AAMAS (2022)
Naman Shah, Pulkit Verma, Trevor Angle, Siddharth Srivastava
JEDAI: A System for Skill-Aligned Explainable Robot Planning. AAMAS (2022)
Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava
Discovering User-Interpretable Capabilities of Black-Box Planning Agents. KR (2022)
Alexander Saff, Mayur Bhandary, Siddharth Srivastava
Predicting Citi Bike Demand Evolution Using Dynamic Graphs. CoRR (2022)
Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering. AAAI (2021)
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Planning for Proactive Assistance in Environments with Partial Observability. CoRR (2021)
Siddharth Srivastava, Gaurav Sharma
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks. CoRR (2021)
Siddharth Srivastava, Gaurav Sharma
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks. ICRA (2021)
Siddharth Srivastava
Unifying Principles and Metrics for Safe and Assistive AI. AAAI (2021)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
Using state abstractions to compute personalized contrastive explanations for AI agent behavior. Artif. Intell. 301 (2021)
P. Venkatappareddy, Jayanth Culli, Siddharth Srivastava, Brejesh Lall
A Legendre polynomial based activation function: An aid for modeling of max pooling. Digit. Signal Process. 115 (2021)
Trevor Angle, Naman Shah, Pulkit Verma, Siddharth Srivastava
JEDAI Explains Decision-Making AI. CoRR (2021)
Rushang Karia, Siddharth Srivastava
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. AAAI (2021)
Mehdi Dadvar, Keyvan Majd, Elena Oikonomou, Georgios Fainekos, Siddharth Srivastava
Joint Communication and Motion Planning for Cobots. CoRR (2021)
Kranti Kumar Parida, Siddharth Srivastava, Neeraj Matiyali, Gaurav Sharma
Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention. CoRR (2021)
Siddharth Srivastava, Shruti Lalit Gandhi, Sanketa Sunil Jondhale, Aadhya Kudupoje
Wingman: Your Digital Drinking Companion. IndiaHCI (2021)
Pulkit Verma, Siddharth Srivastava
Learning Causal Models of Autonomous Agents using Interventions. CoRR (2021)
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention. CoRR (2021)
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
Beyond Image to Depth: Improving Depth Prediction using Echoes. CoRR (2021)
Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava
Learning User-Interpretable Descriptions of Black-Box AI System Capabilities. CoRR (2021)
Naman Shah, Siddharth Srivastava
Anytime Stochastic Task and Motion Policies. CoRR (2021)
Siddharth Srivastava, T. V. Prabhakar
Some Patterns for Architecting Lectures. EuroPLoP (2021)
Siddharth Srivastava, T. V. Prabhakar
Micro-Prompt: A Strategy for Designing Pedagogically Effective Assignment Free Micro-Lectures for Online Education Systems. ICALT (2021)
Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma
Beyond Image to Depth: Improving Depth Prediction Using Echoes. CVPR (2021)
Siddharth Srivastava, Gaurav Sharma
Self Attention Guided Depth Completion using RGB and Sparse LiDAR Point Clouds. IROS (2021)
Siddharth Srivastava, T. V. Prabhakar
AutoPrompt: A Desktop Application for Designing Micro-Lectures using Micro-Prompt Strategy for Online Education Systems. ICALT (2021)
Naman Shah, Deepak Kala Vasudevan, Kislay Kumar, Pranav Kamojjhala, Siddharth Srivastava
Anytime Integrated Task and Motion Policies for Stochastic Environments. ICRA (2020)
Siddharth Srivastava, Sumit Soman, Astha Rai, Amarjeet Singh Cheema
An Online Learning Approach for Dengue Fever Classification. CBMS (2020)
Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41 (4) (2020)
Daniel Molina, Kislay Kumar, Siddharth Srivastava
Learn and Link: Learning Critical Regions for Efficient Planning. ICRA (2020)
Ayush Khaneja, Siddharth Srivastava, Astha Rai, Amarjeet Singh Cheema, Praveen K. Srivastava
Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks. CoRR (2020)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions. ICAPS (2020)
Naman Shah, Abhyudaya Srinet, Siddharth Srivastava
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning. CoRR (2020)
Siddharth Srivastava, Shalini Lamba, T. V. Prabhakar
Improving Learning by Imitation in Online Courses using Memorization, Learning by Doing and Lecture Architecture for Naive Programmers. ICALT (2020)
Siddharth Srivastava, Shalini Lamba
Hindi-CNL Coder - A Desktop Application for Learning Programming using Native Controlled Natural Language. ICALT (2020)
Siddharth Srivastava, Shalini Lamba, T. V. Prabhakar
Lecture Breakup- A Strategy for Designing Pedagogically Effective Lectures for Online Education Systems. ICALT (2020)
Abhijat Chaturvedi, Siddharth Srivastava, Astha Rai, Amarjeet Singh Cheema
A Hybrid Approach to Develop and Integrate Chatbot in Health Informatics Systems. HEALTHINF (2020)
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility. AAMAS (2020)
Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators. CoRR (2020)
Anurag Tripathi, Siddharth Srivastava, Brejesh Lall, Santanu Chaudhury
Using Scene Graphs for Detecting Visual Relationships. ICPR (2020)
Rushang Karia, Siddharth Srivastava
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. CoRR (2020)
Ayush Khaneja, Siddharth Srivastava, Astha Rai, Amarjeet Singh Cheema, Praveen K. Srivastava
Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks. ICPRAM (2020)
Daniel Molina, Kislay Kumar, Siddharth Srivastava
Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks. CoRR (2019)
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
A Unified Framework for Planning in Adversarial and Cooperative Environments. AAAI (2019)
Naman Shah, Siddharth Srivastava
Anytime Integrated Task and Motion Policies for Stochastic Environments. CoRR (2019)
Siddharth Srivastava, Brejesh Lall
DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds. CoRR (2019)
Pulkit Verma, Siddharth Srivastava
Learning Generalized Models by Interrogating Black-Box Autonomous Agents. CoRR (2019)
Anurag Tripathi, Siddharth Srivastava, Brejesh Lall, Santanu Chaudhury
Guided Compositional Generative Adversarial Networks. SMC (2019)
Siddharth Srivastava, Sumit Soman, Astha Rai
An Online Learning Approach for Dengue Fever Classification. CoRR (2019)
Siddharth Srivastava, Brejesh Lall
DeepPoint3D: Learning discriminative local descriptors using deep metric learning on 3D point clouds. Pattern Recognit. Lett. 127 (2019)
Siddharth Srivastava, Frédéric Jurie, Gaurav Sharma
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles. CoRR (2019)
Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati
Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice. CoRR (2019)
Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati
Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks. IJCAI (2019)
Siddharth Srivastava, Monika Arya, Shalini Lamba
Swift-IoT: A Framework for Small Scale IoT System Development for Students. ICCCNT (2019)
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Balancing Goal Obfuscation and Goal Legibility in Settings with Cooperative and Adversarial Observers. CoRR (2019)
Prashant Anand, Ajeet Kumar Singh, Siddharth Srivastava, Brejesh Lall
Few Shot Speaker Recognition using Deep Neural Networks. CoRR (2019)
Siddharth Srivastava, Frédéric Jurie, Gaurav Sharma
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles. IROS (2019)
Edward Groshev, Maxwell Goldstein, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel
Learning Generalized Reactive Policies Using Deep Neural Networks. ICAPS (2018)
Christopher Amato, Haitham Bou-Ammar, Elizabeth F. Churchill, Erez Karpas, Takashi Kido, Mike Kuniavsky, William F. Lawless, Francesca Rossi, Frans A. Oliehoek, Stephen Russell, Keiki Takadama, Siddharth Srivastava, Karl Tuyls, Philip van Allen, Kristen Brent Venable, Peter Vrancx, Shiqi Zhang
Reports on the 2018 AAAI Spring Symposium Series. AI Mag. 39 (4) (2018)
Siddharth Srivastava
Safe Goal-Directed Autonomy and the Need for Sound Abstractions. AAAI Spring Symposia (2018)
Anurag Tripathi, Siddharth Srivastava, Santanu Chaudhury, Brejesh Lall
Joint Image Classification and Annotation Prediction Using Iterative Learning on Local Neighbourhood. SMC (2018)
Fabien Lagriffoul, Neil T. Dantam, Caelan Reed Garrett, Aliakbar Akbari, Siddharth Srivastava, Lydia E. Kavraki
Platform-Independent Benchmarks for Task and Motion Planning. IEEE Robotics Autom. Lett. 3 (4) (2018)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations. IJCAI (2018)
Edward Groshev, Aviv Tamar, Maxwell Goldstein, Siddharth Srivastava, Pieter Abbeel
Learning Generalized Reactive Policies using Deep Neural Networks. AAAI Spring Symposia (2018)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. CoRR (2018)
Siddharth Srivastava, Gaurav Sharma, Brejesh Lall
Large Scale Novel Object Discovery in 3D. WACV (2018)
Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart J. Russell
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. ICML (2018)
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
Implicit Robot-Human Communication in Adversarial and Collaborative Environments. CoRR (2018)
Anurag Tripathi, Siddharth Srivastava, Ravi Kothari
Deep Neural Network Based Image Captioning. BDA (2018)
Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart J. Russell
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. CoRR (2018)
Siddharth Srivastava, Nishant Desai, Richard G. Freedman, Shlomo Zilberstein
An Anytime Algorithm for Task and Motion MDPs. CoRR (2018)
Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall
Enhanced Characterness for Text Detection in the Wild. CVIP (1) (2017)
Siddharth Srivastava, Gaurav Sharma, Brejesh Lall
Large Scale Novel Object Discovery in 3D. CoRR (2017)

Siddharth Srivastava.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Siddharth Srivastava