Siddharth Srivastava

According to our database1, Siddharth Srivastava authored at least 130 papers between 2001 and 2024.

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Bibliography

2024
Can LLMs Converse Formally? Automatically Assessing LLMs in Translating and Interpreting Formal Specifications.
CoRR, 2024

From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions, and Models for Planning from Raw Data.
CoRR, 2024

Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings.
CoRR, 2024

OmniVec: Learning robust representations with cross modal sharing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hierarchical Decompositions and Termination Analysis for Generalized Planning.
J. Artif. Intell. Res., 2023

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving.
CoRR, 2023

Autonomous Capability Assessment of Black-Box Sequential Decision-Making Systems.
CoRR, 2023

Conditional abstraction trees for sample-efficient reinforcement learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

DiscSumm: A Discourse Based Saliency Model to Generate Abstract Summaries for Conversation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Multi-task Learning via Task Affinity Groupings.
Proceedings of the IEEE International Conference on Image Processing, 2023

Triple-Output current-mode on-chip Filter Design and Analysis for VHF-band Applications.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Predicting Citi Bike Demand Evolution Using Dynamic Graphs.
CoRR, 2022

Hierarchical Termination Analysis for Generalized Planning.
CoRR, 2022

Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning.
CoRR, 2022

Multi-Task Option Learning and Discovery for Stochastic Path Planning.
CoRR, 2022

Preliminary Results on Using Abstract AND-OR Graphs for Generalized Solving of Stochastic Shortest Path Problems.
CoRR, 2022

Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Discovering User-Interpretable Capabilities of Black-Box Planning Agents.
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022

Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Joint Communication and Motion Planning for Cobots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Micro-Tutorial: A Strategy for Integrating Error Handling and Concept Application Skills in Traditional Micro-Lecturing Process.
Proceedings of the International Conference on Advanced Learning Technologies, 2022

The KP-Traversal Scheme.
Proceedings of the International Conference on Advanced Learning Technologies, 2022

Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

JEDAI: A System for Skill-Aligned Explainable Robot Planning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Differential Assessment of Black-Box AI Agents.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Legendre polynomial based activation function: An aid for modeling of max pooling.
Digit. Signal Process., 2021

JEDAI Explains Decision-Making AI.
CoRR, 2021

Anytime Stochastic Task and Motion Policies.
CoRR, 2021

Learning Causal Models of Autonomous Agents using Interventions.
CoRR, 2021

Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention.
CoRR, 2021

Learning User-Interpretable Descriptions of Black-Box AI System Capabilities.
CoRR, 2021

Planning for Proactive Assistance in Environments with Partial Observability.
CoRR, 2021

Using state abstractions to compute personalized contrastive explanations for AI agent behavior.
Artif. Intell., 2021

Self Attention Guided Depth Completion using RGB and Sparse LiDAR Point Clouds.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Wingman: Your Digital Drinking Companion.
Proceedings of the IndiaHCI 2021: 12th Indian Conference on Human-Computer Interaction, 2021

Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Micro-Prompt: A Strategy for Designing Pedagogically Effective Assignment Free Micro-Lectures for Online Education Systems.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

AutoPrompt: A Desktop Application for Designing Micro-Lectures using Micro-Prompt Strategy for Online Education Systems.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Some Patterns for Architecting Lectures.
Proceedings of the EuroPLoP'21: European Conference on Pattern Languages of Programs 2021, Graz, Austria, July 7, 2021

Beyond Image to Depth: Improving Depth Prediction Using Echoes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unifying Principles and Metrics for Safe and Assistive AI.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Asking the Right Questions: Learning Interpretable Action Models Through Query Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning.
CoRR, 2020

Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators.
CoRR, 2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.
AI Mag., 2020

Learn and Link: Learning Critical Regions for Efficient Planning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Anytime Integrated Task and Motion Policies for Stochastic Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Using Scene Graphs for Detecting Visual Relationships.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Learning by Imitation in Online Courses using Memorization, Learning by Doing and Lecture Architecture for Naive Programmers.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

Lecture Breakup- A Strategy for Designing Pedagogically Effective Lectures for Online Education Systems.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

Hindi-CNL Coder - A Desktop Application for Learning Programming using Native Controlled Natural Language.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

An Online Learning Approach for Dengue Fever Classification.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

A Hybrid Approach to Develop and Integrate Chatbot in Health Informatics Systems.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
DeepPoint3D: Learning discriminative local descriptors using deep metric learning on 3D point clouds.
Pattern Recognit. Lett., 2019

Learning Generalized Models by Interrogating Black-Box Autonomous Agents.
CoRR, 2019

Balancing Goal Obfuscation and Goal Legibility in Settings with Cooperative and Adversarial Observers.
CoRR, 2019

Anytime Integrated Task and Motion Policies for Stochastic Environments.
CoRR, 2019

Few Shot Speaker Recognition using Deep Neural Networks.
CoRR, 2019

An Online Learning Approach for Dengue Fever Classification.
CoRR, 2019

Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice.
CoRR, 2019

Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks.
CoRR, 2019

Guided Compositional Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Swift-IoT: A Framework for Small Scale IoT System Development for Students.
Proceedings of the 10th International Conference on Computing, 2019

A Unified Framework for Planning in Adversarial and Cooperative Environments.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Platform-Independent Benchmarks for Task and Motion Planning.
IEEE Robotics Autom. Lett., 2018

Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations.
CoRR, 2018

Implicit Robot-Human Communication in Adversarial and Collaborative Environments.
CoRR, 2018

An Anytime Algorithm for Task and Motion MDPs.
CoRR, 2018

Reports on the 2018 AAAI Spring Symposium Series.
AI Mag., 2018

Large Scale Novel Object Discovery in 3D.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Joint Image Classification and Annotation Prediction Using Iterative Learning on Local Neighbourhood.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms.
Proceedings of the 35th International Conference on Machine Learning, 2018

Deep Neural Network Based Image Captioning.
Proceedings of the Big Data Analytics - 6th International Conference, 2018

Safe Goal-Directed Autonomy and the Need for Sound Abstractions.
Proceedings of the 2018 AAAI Spring Symposia, 2018

Learning Generalized Reactive Policies using Deep Neural Networks.
Proceedings of the 2018 AAAI Spring Symposia, 2018

2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.
CoRR, 2017

Learning Generalized Reactive Policies using Deep Neural Networks.
CoRR, 2017

An ROS-based Shared Communication Middleware for Plug & Play Modular Intelligent Design of Smart Systems.
CoRR, 2017

Continuity of Care Document for Hospital Management Systems: an Implementation Perspective.
Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance, 2017

Drought Stress Classification Using 3D Plant Models.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Object Classification using Ensemble of Local and Deep Features.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

Deep learning for health informatics: Recent trends and future directions.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Enhanced Characterness for Text Detection in the Wild.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017

2016
Characterizing objects with SIKA features for multiclass classification.
Appl. Soft Comput., 2016

Markovian State and Action Abstractions for MDPs via Hierarchical MCTS.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

3D binary signatures.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Guided search for task and motion plans using learned heuristics.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Hierarchical Strategy Synthesis for Pursuit-Evasion Problems.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Metaphysics of Planning Domain Descriptions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Benchmarking KAZE and MCM for Multiclass Classification.
CoRR, 2015

SIFT Vs SURF: Quantifying the Variation in Transformations.
CoRR, 2015

Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions.
CoRR, 2015

Adaptive crypto-steganosystem for videos based on information content and visual perception.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Tractability of Planning with Loops.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Electronic Health Records and Cloud based Generic Medical Equipment Interface.
CoRR, 2014

First-Order Open-Universe POMDPs.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Combined task and motion planning through an extensible planner-independent interface layer.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Hazard control algorithms for heterogenous multi-agent cloud-enabled robotic network.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2013

2012
Reports of the AAAI 2011 Conference Workshops.
AI Mag., 2012

Applicability conditions for plans with loops: Computability results and algorithms.
Artif. Intell., 2012

First-Order Models for POMDPs.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Learning Relational Structure for Temporal Relation Extraction.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Path planning algorithms for mesh networked robots based on WiFi geo-location.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommuncations Systems, 2012

2011
Foundations and applications of generalized planning.
AI Commun., 2011

A new representation and associated algorithms for generalized planning.
Artif. Intell., 2011

Directed Search for Generalized Plans Using Classical Planners.
Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

Qualitative Numeric Planning.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Termination and Correctness Analysis of Cyclic Control.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Merging example plans into generalized plans for non-deterministic environments.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Computing Applicability Conditions for Plans with Loops.
Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

2009
Simulating reachability using first-order logic with applications to verification of linked data structures
Log. Methods Comput. Sci., 2009

Abstract Planning with Unknown Object Quantities and Properties.
Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation, 2009

2008
Using Abstraction for Generalized Planning.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Learning Generalized Plans Using Abstract Counting.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2005
Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions.
NeuroImage, 2005

2004
Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Feature Based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic (FCD) Lesions.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
An Automated 3D Algorithm for Neo-cortical Thickness Measurement.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2001
Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001


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