| 2026 | AAAI | Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions. | Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava |
| 2025 | AAAI | Using Explainable AI and Hierarchical Planning for Outreach with Robots. | Rushang Karia, Jayesh Nagpal, Daksh Dobhal, Pulkit Verma, Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava |
| 2025 | AAAI | Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning. | Rashmeet Kaur Nayyar, Siddharth Srivastava |
| 2025 | ACL | AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization. | Abhinav Gupta, Devendra Singh Chaplot, Greig A. Cowan, N. Kadhiresan, Siddharth Srivastava, Yagneswaran Sriraja, Yoages Kumar Mantri |
| 2025 | ICCV | Preserve Anything: Controllable Image Synthesis with Object Preservation. | Prasen Kumar Sharma, Neeraj Matiyali, Siddharth Srivastava, Gaurav Sharma |
| 2025 | ICLR | Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks. | Rushang Karia, Daniel Bramblett, Daksh Dobhal, Siddharth Srivastava |
| 2025 | IJCAI | Explain It as Simple as Possible, but No Simpler - Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint). | Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati |
| 2024 | AAAI | Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention. | Naman Shah, Siddharth Srivastava |
| 2024 | CVPR | OmniVec2 - A Novel Transformer Based Network for Large Scale Multimodal and Multitask Learning. | Siddharth Srivastava, Gaurav Sharma |
| 2024 | ICAPS | Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings. | Rushang Karia, Pulkit Verma, Alberto Speranzon, Siddharth Srivastava |
| 2024 | ICPR | ICPR 2024 Leaf Inspect Competition: Leaf Instance Segmentation and Counting. | Swati Bhugra, Prerana Mukherjee, Vinay Kaushik, Siddharth Srivastava, Manoj Sharma, Viswanathan Chinnusamy, Brejesh Lall, Santanu Chaudhary |
| 2024 | IJCAI | Hierarchical Decompositions and Termination Analysis for Generalized Planning (Abstract Reprint). | Siddharth Srivastava |
| 2024 | ICRA | Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. | Tushar Choudhary, Vikrant Dewangan, Shivam Chandhok, Shubham Priyadarshan, Anushka Jain, Arun Kumar Singh, Siddharth Srivastava, Krishna Murthy Jatavallabhula, K. Madhava Krishna |
| 2024 | WACV | OmniVec: Learning robust representations with cross modal sharing. | Siddharth Srivastava, Gaurav Sharma |
| 2023 | ICIP | Hierarchical Multi-task Learning via Task Affinity Groupings. | Siddharth Srivastava, Swati Bhugra, Vinay Kaushik, Brejesh Lall |
| 2023 | SMC | DiscSumm: A Discourse Based Saliency Model to Generate Abstract Summaries for Conversation. | Siddharth Srivastava, Anurag Tripathi |
| 2023 | UAI | Conditional abstraction trees for sample-efficient reinforcement learning. | Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava |
| 2022 | AAAI | Differential Assessment of Black-Box AI Agents. | Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava |
| 2022 | ICALT | The KP-Traversal Scheme. | Siddharth Srivastava, Tadinada Vankata Prabhakar |
| 2022 | ICALT | Micro-Tutorial: A Strategy for Integrating Error Handling and Concept Application Skills in Traditional Micro-Lecturing Process. | Siddharth Srivastava, Tadinada Vankata Prabhakar |
| 2022 | ICLR | Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations. | Sarath Sreedharan, Utkarsh Soni, Mudit Verma, Siddharth Srivastava, Subbarao Kambhampati |
| 2022 | IJCAI | Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems. | Rushang Karia, Siddharth Srivastava |
| 2022 | ICRA | Joint Communication and Motion Planning for Cobots. | Mehdi Dadvar, Keyvan Majd, Elena Oikonomou, Georgios Fainekos, Siddharth Srivastava |
| 2022 | KR | Discovering User-Interpretable Capabilities of Black-Box Planning Agents. | Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava |
| 2022 | WACV | Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention. | Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma |
| 2021 | AAAI | Asking the Right Questions: Learning Interpretable Action Models Through Query Answering. | Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava |
| 2021 | AAAI | Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. | Rushang Karia, Siddharth Srivastava |
| 2021 | AAAI | Unifying Principles and Metrics for Safe and Assistive AI. | Siddharth Srivastava |
| 2021 | CVPR | Beyond Image to Depth: Improving Depth Prediction Using Echoes. | Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma |
| 2021 | EuroPLop | Some Patterns for Architecting Lectures. | Siddharth Srivastava, Tadinada Vankata Prabhakar |
| 2021 | ICALT | AutoPrompt: A Desktop Application for Designing Micro-Lectures using Micro-Prompt Strategy for Online Education Systems. | Siddharth Srivastava, Tadinada Vankata Prabhakar |
| 2021 | ICALT | Micro-Prompt: A Strategy for Designing Pedagogically Effective Assignment Free Micro-Lectures for Online Education Systems. | Siddharth Srivastava, Tadinada Vankata Prabhakar |
| 2021 | IROS | Self Attention Guided Depth Completion using RGB and Sparse LiDAR Point Clouds. | Siddharth Srivastava, Gaurav Sharma |
| 2021 | ICRA | Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks. | Siddharth Srivastava, Gaurav Sharma |
| 2020 | CBMS | An Online Learning Approach for Dengue Fever Classification. | Siddharth Srivastava, Sumit Soman, Astha Rai, Amarjeet Singh Cheema |
| 2020 | ICALT | Hindi-CNL Coder - A Desktop Application for Learning Programming using Native Controlled Natural Language. | Siddharth Srivastava, Shalini Lamba |
| 2020 | ICALT | Lecture Breakup- A Strategy for Designing Pedagogically Effective Lectures for Online Education Systems. | Siddharth Srivastava, Shalini Lamba, Tadinada Vankata Prabhakar |
| 2020 | ICALT | Improving Learning by Imitation in Online Courses using Memorization, Learning by Doing and Lecture Architecture for Naive Programmers. | Siddharth Srivastava, Shalini Lamba, Tadinada Vankata Prabhakar |
| 2020 | ICPR | Using Scene Graphs for Detecting Visual Relationships. | Anurag Tripathi, Siddharth Srivastava, Brejesh Lall, Santanu Chaudhury |
| 2020 | ICPRAM | Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks. | Ayush Khaneja, Siddharth Srivastava, Astha Rai, Amarjeet Singh Cheema, Praveen K. Srivastava |
| 2020 | ICRA | Anytime Integrated Task and Motion Policies for Stochastic Environments. | Naman Shah, Deepak Kala Vasudevan, Kislay Kumar, Pranav Kamojjhala, Siddharth Srivastava |
| 2020 | ICRA | Learn and Link: Learning Critical Regions for Efficient Planning. | Daniel Molina, Kislay Kumar, Siddharth Srivastava |
| 2019 | AAAI | A Unified Framework for Planning in Adversarial and Cooperative Environments. | Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati |
| 2019 | IJCAI | Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks. | Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati |
| 2019 | IROS | Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles. | Siddharth Srivastava, Frdric Jurie, Gaurav Sharma |
| 2019 | SMC | Guided Compositional Generative Adversarial Networks. | Anurag Tripathi, Siddharth Srivastava, Brejesh Lall, Santanu Chaudhury |
| 2018 | ICML | Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. | Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell |
| 2018 | IJCAI | Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations. | Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati |
| 2018 | SMC | Joint Image Classification and Annotation Prediction Using Iterative Learning on Local Neighbourhood. | Anurag Tripathi, Siddharth Srivastava, Santanu Chaudhury, Brejesh Lall |
| 2018 | WACV | Large Scale Novel Object Discovery in 3D. | Siddharth Srivastava, Gaurav Sharma, Brejesh Lall |
| 2016 | AAAI | Metaphysics of Planning Domain Descriptions. | Siddharth Srivastava, Stuart Russell, Alessandro Pinto |
| 2016 | ECAI | Hierarchical Strategy Synthesis for Pursuit-Evasion Problems. | Rattanachai Ramaithitima, Siddharth Srivastava, Subhrajit Bhattacharya, Alberto Speranzon, Vijay Kumar |
| 2016 | IJCAI | Markovian State and Action Abstractions for MDPs via Hierarchical MCTS. | Aijun Bai, Siddharth Srivastava, Stuart Russell |
| 2016 | ICRA | Guided search for task and motion plans using learned heuristics. | Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel |
| 2015 | AAAI | Tractability of Planning with Loops. | Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell |
| 2014 | ICRA | Combined task and motion planning through an extensible planner-independent interface layer. | Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, Pieter Abbeel |
| 2014 | UAI | First-Order Open-Universe POMDPs. | Siddharth Srivastava, Stuart Russell, Paul Ruan, Xiang Cheng |
| 2011 | AAAI | Termination and Correctness Analysis of Cyclic Control. | Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein |
| 2011 | AAAI | Qualitative Numeric Planning. | Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner |
| 2008 | AAAI | Learning Generalized Plans Using Abstract Counting. | Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein |
| 2008 | ISAIM | Using Abstraction for Generalized Planning. | Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein |
| 2005 | CADE | Simulating Reachability Using First-Order Logic with Applications to Verification of Linked Data Structures. | Tal Lev-Ami, Neil Immerman, Thomas W. Reps, Shmuel Sagiv, Siddharth Srivastava, Greta Yorsh |
| 2004 | MICCAI | Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study. | Siddharth Srivastava, Frederik Maes, Dirk Vandermeulen, Wim Van Paesschen, Patrick Dupont, Paul Suetens |
| 2003 | MICCAI | An Automated 3D Algorithm for Neo-cortical Thickness Measurement. | Siddharth Srivastava, Frederik Maes, Dirk Vandermeulen, Patrick Dupont, Wim Van Paesschen, Paul Suetens |
| 2001 | MICCAI | Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images. | Siddharth Srivastava, Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens |