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Siddharth Srivastava
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2020 – today
- 2024
- [i51]Rushang Karia, Pulkit Verma, Alberto Speranzon, Siddharth Srivastava:
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings. CoRR abs/2402.08145 (2024) - 2023
- [j14]Siddharth Srivastava:
Hierarchical Decompositions and Termination Analysis for Generalized Planning. J. Artif. Intell. Res. 77: 1203-1236 (2023) - [c82]Rajani Maurya, Siddharth Srivastava, Neelam Srivastava:
Triple-Output current-mode on-chip Filter Design and Analysis for VHF-band Applications. ICCCNT 2023: 1-6 - [c81]Siddharth Srivastava, Swati Bhugra, Vinay Kaushik, Brejesh Lall:
Hierarchical Multi-task Learning via Task Affinity Groupings. ICIP 2023: 3289-3293 - [c80]Pulkit Verma, Rushang Karia, Siddharth Srivastava:
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings. NeurIPS 2023 - [c79]Siddharth Srivastava, Anurag Tripathi:
DiscSumm: A Discourse Based Saliency Model to Generate Abstract Summaries for Conversation. SMC 2023: 2648-2653 - [c78]Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava:
Conditional abstraction trees for sample-efficient reinforcement learning. UAI 2023: 485-495 - [i50]Pulkit Verma, Rushang Karia, Siddharth Srivastava:
Autonomous Capability Assessment of Black-Box Sequential Decision-Making Systems. CoRR abs/2306.04806 (2023) - [i49]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 abs/2310.02251 (2023) - [i48]Siddharth Srivastava, Gaurav Sharma:
OmniVec: Learning robust representations with cross modal sharing. CoRR abs/2311.05709 (2023) - 2022
- [c77]Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava:
Differential Assessment of Black-Box AI Agents. AAAI 2022: 9868-9876 - [c76]Naman Shah, Siddharth Srivastava:
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. AAMAS 2022: 1183-1191 - [c75]Naman Shah, Pulkit Verma, Trevor Angle, Siddharth Srivastava:
JEDAI: A System for Skill-Aligned Explainable Robot Planning. AAMAS 2022: 1917-1919 - [c74]Siddharth Srivastava, Tadinada Vankata Prabhakar:
The KP-Traversal Scheme. ICALT 2022: 88-89 - [c73]Siddharth Srivastava, Tadinada Vankata Prabhakar:
Micro-Tutorial: A Strategy for Integrating Error Handling and Concept Application Skills in Traditional Micro-Lecturing Process. ICALT 2022: 193-195 - [c72]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 - [c71]Mehdi Dadvar, Keyvan Majd, Elena Oikonomou, Georgios Fainekos, Siddharth Srivastava:
Joint Communication and Motion Planning for Cobots. ICRA 2022: 4771-4777 - [c70]Rushang Karia, Siddharth Srivastava:
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems. IJCAI 2022: 3135-3142 - [c69]Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava:
Discovering User-Interpretable Capabilities of Black-Box Planning Agents. KR 2022 - [c68]Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava:
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems. NeurIPS 2022 - [c67]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: 2151-2160 - [i47]Naman Shah, Siddharth Srivastava:
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning. CoRR abs/2202.00907 (2022) - [i46]Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava:
Differential Assessment of Black-Box AI Agents. CoRR abs/2203.13236 (2022) - [i45]Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava:
Preliminary Results on Using Abstract AND-OR Graphs for Generalized Solving of Stochastic Shortest Path Problems. CoRR abs/2204.04301 (2022) - [i44]Rushang Karia, Siddharth Srivastava:
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems. CoRR abs/2204.12665 (2022) - [i43]Naman Shah, Siddharth Srivastava:
Multi-Task Option Learning and Discovery for Stochastic Path Planning. CoRR abs/2210.00068 (2022) - [i42]Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava:
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning. CoRR abs/2210.01955 (2022) - [i41]Siddharth Srivastava:
Hierarchical Termination Analysis for Generalized Planning. CoRR abs/2212.02823 (2022) - [i40]Alexander Saff, Mayur Bhandary, Siddharth Srivastava:
Predicting Citi Bike Demand Evolution Using Dynamic Graphs. CoRR abs/2212.09175 (2022) - 2021
- [j13]Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Using state abstractions to compute personalized contrastive explanations for AI agent behavior. Artif. Intell. 301: 103570 (2021) - [j12]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: 103093 (2021) - [c66]Rushang Karia, Siddharth Srivastava:
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. AAAI 2021: 8064-8073 - [c65]Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava:
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering. AAAI 2021: 12024-12033 - [c64]Siddharth Srivastava:
Unifying Principles and Metrics for Safe and Assistive AI. AAAI 2021: 15064-15068 - [c63]Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma:
Beyond Image to Depth: Improving Depth Prediction Using Echoes. CVPR 2021: 8268-8277 - [c62]Siddharth Srivastava, Tadinada Vankata Prabhakar:
Some Patterns for Architecting Lectures. EuroPLoP 2021: 30:1-30:6 - [c61]Siddharth Srivastava, Tadinada Vankata Prabhakar:
AutoPrompt: A Desktop Application for Designing Micro-Lectures using Micro-Prompt Strategy for Online Education Systems. ICALT 2021: 209-210 - [c60]Siddharth Srivastava, Tadinada Vankata Prabhakar:
Micro-Prompt: A Strategy for Designing Pedagogically Effective Assignment Free Micro-Lectures for Online Education Systems. ICALT 2021: 224-228 - [c59]Siddharth Srivastava, Gaurav Sharma:
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks. ICRA 2021: 12903-12909 - [c58]Siddharth Srivastava, Shruti Lalit Gandhi, Sanketa Sunil Jondhale, Aadhya Kudupoje:
Wingman: Your Digital Drinking Companion. IndiaHCI 2021: 84-89 - [c57]Siddharth Srivastava, Gaurav Sharma:
Self Attention Guided Depth Completion using RGB and Sparse LiDAR Point Clouds. IROS 2021: 2643-2650 - [i39]Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma:
Beyond Image to Depth: Improving Depth Prediction using Echoes. CoRR abs/2103.08468 (2021) - [i38]Siddharth Srivastava, Gaurav Sharma:
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks. CoRR abs/2103.15226 (2021) - [i37]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Planning for Proactive Assistance in Environments with Partial Observability. CoRR abs/2105.00525 (2021) - [i36]Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava:
Learning User-Interpretable Descriptions of Black-Box AI System Capabilities. CoRR abs/2107.13668 (2021) - [i35]Kranti Kumar Parida, Siddharth Srivastava, Neeraj Matiyali, Gaurav Sharma:
Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention. CoRR abs/2108.04906 (2021) - [i34]Pulkit Verma, Siddharth Srivastava:
Learning Causal Models of Autonomous Agents using Interventions. CoRR abs/2108.09586 (2021) - [i33]Naman Shah, Siddharth Srivastava:
Anytime Stochastic Task and Motion Policies. CoRR abs/2108.12537 (2021) - [i32]Mehdi Dadvar, Keyvan Majd, Elena Oikonomou, Georgios Fainekos, Siddharth Srivastava:
Joint Communication and Motion Planning for Cobots. CoRR abs/2109.14004 (2021) - [i31]Trevor Angle, Naman Shah, Pulkit Verma, Siddharth Srivastava:
JEDAI Explains Decision-Making AI. CoRR abs/2111.00585 (2021) - [i30]Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma:
Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention. CoRR abs/2111.08046 (2021) - 2020
- [j11]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 A. 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): 100-114 (2020) - [c56]Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
TLdR: Policy Summarization for Factored SSP Problems Using Temporal Abstractions. ICAPS 2020: 272-280 - [c55]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Signaling Friends and Head-Faking Enemies Simultaneously: Balancing Goal Obfuscation and Goal Legibility. AAMAS 2020: 1889-1891 - [c54]Abhijat Chaturvedi, Siddharth Srivastava, Astha Rai, Amarjeet Singh Cheema:
A Hybrid Approach to Develop and Integrate Chatbot in Health Informatics Systems. HEALTHINF 2020: 774-781 - [c53]Siddharth Srivastava, Sumit Soman, Astha Rai, Amarjeet Singh Cheema:
An Online Learning Approach for Dengue Fever Classification. CBMS 2020: 163-168 - [c52]Siddharth Srivastava, Shalini Lamba, Tadinada Vankata Prabhakar:
Lecture Breakup- A Strategy for Designing Pedagogically Effective Lectures for Online Education Systems. ICALT 2020: 27-28 - [c51]Siddharth Srivastava, Shalini Lamba, Tadinada Vankata Prabhakar:
Improving Learning by Imitation in Online Courses using Memorization, Learning by Doing and Lecture Architecture for Naive Programmers. ICALT 2020: 198-200 - [c50]Siddharth Srivastava, Shalini Lamba:
Hindi-CNL Coder - A Desktop Application for Learning Programming using Native Controlled Natural Language. ICALT 2020: 228-229 - [c49]Anurag Tripathi, Siddharth Srivastava, Brejesh Lall, Santanu Chaudhury:
Using Scene Graphs for Detecting Visual Relationships. ICPR 2020: 10074-10081 - [c48]Ayush Khaneja, Siddharth Srivastava, Astha Rai, Amarjeet Singh Cheema, Praveen K. Srivastava:
Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks. ICPRAM 2020: 615-620 - [c47]Naman Shah, Deepak Kala Vasudevan, Kislay Kumar, Pranav Kamojjhala, Siddharth Srivastava:
Anytime Integrated Task and Motion Policies for Stochastic Environments. ICRA 2020: 9285-9291 - [c46]Daniel Molina, Kislay Kumar, Siddharth Srivastava:
Learn and Link: Learning Critical Regions for Efficient Planning. ICRA 2020: 10605-10611 - [i29]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 abs/2002.01080 (2020) - [i28]Rushang Karia, Siddharth Srivastava:
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. CoRR abs/2007.06702 (2020) - [i27]Ayush Khaneja, Siddharth Srivastava, Astha Rai, Amarjeet Singh Cheema, Praveen K. Srivastava:
Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks. CoRR abs/2008.02731 (2020) - [i26]Naman Shah, Abhyudaya Srinet, Siddharth Srivastava:
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning. CoRR abs/2012.00658 (2020)
2010 – 2019
- 2019
- [j10]Siddharth Srivastava, Brejesh Lall:
DeepPoint3D: Learning discriminative local descriptors using deep metric learning on 3D point clouds. Pattern Recognit. Lett. 127: 27-36 (2019) - [c45]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
A Unified Framework for Planning in Adversarial and Cooperative Environments. AAAI 2019: 2479-2487 - [c44]Siddharth Srivastava, Monika Arya, Shalini Lamba:
Swift-IoT: A Framework for Small Scale IoT System Development for Students. ICCCNT 2019: 1-4 - [c43]Sarath Sreedharan, Siddharth Srivastava, David E. Smith, Subbarao Kambhampati:
Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks. IJCAI 2019: 1422-1430 - [c42]Siddharth Srivastava, Frédéric Jurie, Gaurav Sharma:
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles. IROS 2019: 4504-4511 - [c41]Anurag Tripathi, Siddharth Srivastava, Brejesh Lall, Santanu Chaudhury:
Guided Compositional Generative Adversarial Networks. SMC 2019: 3586-3591 - [e1]J. Benton, Nir Lipovetzky, Eva Onaindia, David E. Smith, Siddharth Srivastava:
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, ICAPS 2019, Berkeley, CA, USA, July 11-15, 2019. AAAI Press 2019 [contents] - [i25]Daniel Molina, Kislay Kumar, Siddharth Srivastava:
Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks. CoRR abs/1903.03258 (2019) - [i24]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 abs/1903.08218 (2019) - [i23]Siddharth Srivastava, Brejesh Lall:
DeepPoint3D: Learning Discriminative Local Descriptors using Deep Metric Learning on 3D Point Clouds. CoRR abs/1904.00817 (2019) - [i22]Siddharth Srivastava, Sumit Soman, Astha Rai:
An Online Learning Approach for Dengue Fever Classification. CoRR abs/1904.08092 (2019) - [i21]Siddharth Srivastava, Frédéric Jurie, Gaurav Sharma:
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles. CoRR abs/1904.08494 (2019) - [i20]Prashant Anand, Ajeet Kumar Singh, Siddharth Srivastava, Brejesh Lall:
Few Shot Speaker Recognition using Deep Neural Networks. CoRR abs/1904.08775 (2019) - [i19]Naman Shah, Siddharth Srivastava:
Anytime Integrated Task and Motion Policies for Stochastic Environments. CoRR abs/1904.13006 (2019) - [i18]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Balancing Goal Obfuscation and Goal Legibility in Settings with Cooperative and Adversarial Observers. CoRR abs/1905.10672 (2019) - [i17]Pulkit Verma, Siddharth Srivastava:
Learning Generalized Models by Interrogating Black-Box Autonomous Agents. CoRR abs/1912.12613 (2019) - 2018
- [j9]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): 29-35 (2018) - [j8]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): 3765-3772 (2018) - [c40]Edward Groshev, Aviv Tamar, Maxwell Goldstein, Siddharth Srivastava, Pieter Abbeel:
Learning Generalized Reactive Policies using Deep Neural Networks. AAAI Spring Symposia 2018 - [c39]Siddharth Srivastava:
Safe Goal-Directed Autonomy and the Need for Sound Abstractions. AAAI Spring Symposia 2018 - [c38]Edward Groshev, Maxwell Goldstein, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel:
Learning Generalized Reactive Policies Using Deep Neural Networks. ICAPS 2018: 408-416 - [c37]Anurag Tripathi, Siddharth Srivastava, Ravi Kothari:
Deep Neural Network Based Image Captioning. BDA 2018: 335-347 - [c36]Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell:
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. ICML 2018: 5339-5348 - [c35]Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations. IJCAI 2018: 4829-4836 - [c34]Anurag Tripathi, Siddharth Srivastava, Santanu Chaudhury, Brejesh Lall:
Joint Image Classification and Annotation Prediction Using Iterative Learning on Local Neighbourhood. SMC 2018: 2085-2090 - [c33]Siddharth Srivastava, Gaurav Sharma, Brejesh Lall:
Large Scale Novel Object Discovery in 3D. WACV 2018: 179-188 - [i16]Siddharth Srivastava, Nishant Desai, Richard G. Freedman, Shlomo Zilberstein:
An Anytime Algorithm for Task and Motion MDPs. CoRR abs/1802.05835 (2018) - [i15]Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati:
Implicit Robot-Human Communication in Adversarial and Collaborative Environments. CoRR abs/1802.06137 (2018) - [i14]Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations. CoRR abs/1802.06895 (2018) - [i13]Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell:
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. CoRR abs/1806.02027 (2018) - 2017
- [c32]Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall:
Enhanced Characterness for Text Detection in the Wild. CVIP (1) 2017: 359-369 - [c31]Siddharth Srivastava, Sumit Soman, Astha Rai, Praveen K. Srivastava:
Deep learning for health informatics: Recent trends and future directions. ICACCI 2017: 1665-1670 - [c30]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall, Kamlesh Jaiswal:
Object Classification using Ensemble of Local and Deep Features. ICAPR 2017: 1-6 - [c29]Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Santanu Chaudhury:
Drought Stress Classification Using 3D Plant Models. ICCV Workshops 2017: 2046-2054 - [c28]Siddharth Srivastava, Sumit Soman, Astha Rai, Amarjeet Singh Cheema, Praveen K. Srivastava:
Continuity of Care Document for Hospital Management Systems: an Implementation Perspective. ICEGOV 2017: 339-345 - [i12]Siddharth Srivastava, Gaurav Sharma, Brejesh Lall:
Large Scale Novel Object Discovery in 3D. CoRR abs/1701.07046 (2017) - [i11]Tathagata Chakraborti, Siddharth Srivastava, Alessandro Pinto, Subbarao Kambhampati:
An ROS-based Shared Communication Middleware for Plug & Play Modular Intelligent Design of Smart Systems. CoRR abs/1706.01133 (2017) - [i10]Edward Groshev, Aviv Tamar, Siddharth Srivastava, Pieter Abbeel:
Learning Generalized Reactive Policies using Deep Neural Networks. CoRR abs/1708.07280 (2017) - [i9]Siddharth Srivastava, Brejesh Lall:
3D Binary Signatures. CoRR abs/1708.07937 (2017) - [i8]Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Santanu Chaudhury:
Drought Stress Classification using 3D Plant Models. CoRR abs/1709.09496 (2017) - [i7]Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas:
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. CoRR abs/1710.06104 (2017) - [i6]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall, Kamlesh Jaiswal:
Object Classification using Ensemble of Local and Deep Features. CoRR abs/1712.04926 (2017) - [i5]Aarushi Agrawal, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall:
Enhanced Characterness for Text Detection in the Wild. CoRR abs/1712.04927 (2017) - 2016
- [j7]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall:
Characterizing objects with SIKA features for multiclass classification. Appl. Soft Comput. 46: 1056-1066 (2016) - [c27]Siddharth Srivastava, Stuart Russell, Alessandro Pinto:
Metaphysics of Planning Domain Descriptions. AAAI 2016: 1074-1080 - [c26]Rattanachai Ramaithitima, Siddharth Srivastava, Subhrajit Bhattacharya, Alberto Speranzon, Vijay Kumar:
Hierarchical Strategy Synthesis for Pursuit-Evasion Problems. ECAI 2016: 1370-1378 - [c25]Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel:
Guided search for task and motion plans using learned heuristics. ICRA 2016: 447-454 - [c24]Siddharth Srivastava, Brejesh Lall:
3D binary signatures. ICVGIP 2016: 77:1-77:8 - [c23]Aijun Bai, Siddharth Srivastava, Stuart Russell:
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS. IJCAI 2016: 3029-3039 - 2015
- [c22]Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell:
Tractability of Planning with Loops. AAAI 2015: 3393-3401 - [c21]Siddharth Srivastava, Stuart Russell, Alessandro Pinto:
Metaphysics of Planning Domain Descriptions. AAAI Fall Symposia 2015: 83-90 - [c20]Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall, Saisha Asolkar, Meera Pai:
Adaptive crypto-steganosystem for videos based on information content and visual perception. NCVPRIPG 2015: 1-4 - [i4]Siddharth Srivastava:
SIFT Vs SURF: Quantifying the Variation in Transformations. CoRR abs/1504.06740 (2015) - [i3]Siddharth Srivastava, Prerana Mukherjee, Brejesh Lall:
Benchmarking KAZE and MCM for Multiclass Classification. CoRR abs/1505.05240 (2015) - [i2]Sumit Soman, Siddharth Srivastava, Saurabh Srivastava, Nitendra Rajput:
Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions. CoRR abs/1509.01338 (2015) - 2014
- [c19]Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, Pieter Abbeel:
Combined task and motion planning through an extensible planner-independent interface layer. ICRA 2014: 639-646 - [c18]Siddharth Srivastava, Stuart Russell, Paul Ruan, Xiang Cheng:
First-Order Open-Universe POMDPs. UAI 2014: 742-751 - [i1]Siddharth Srivastava, Ramji Gupta, Astha Rai, Amarjeet Singh Cheema:
Electronic Health Records and Cloud based Generic Medical Equipment Interface. CoRR abs/1411.1387 (2014) - 2013
- [c17]Siddharth Srivastava, Aritra Sarkar, B. S. Manoj:
Hazard control algorithms for heterogenous multi-agent cloud-enabled robotic network. IEEE ANTS 2013: 1-6 - 2012
- [j6]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Applicability conditions for plans with loops: Computability results and algorithms. Artif. Intell. 191-192: 1-19 (2012) - [j5]Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher W. Geib, Floriana Grasso, Nancy L. Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J. Mengshoel, Ted Metzler, Joseph Modayil, Douglas W. Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel Talay, Ted Selker, Lokendra Shastri, Stephen F. Smith, Satinder Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams:
Reports of the AAAI 2011 Conference Workshops. AI Mag. 33(1): 57-70 (2012) - [c16]Siddharth Srivastava, B. S. Manoj:
Path planning algorithms for mesh networked robots based on WiFi geo-location. IEEE ANTS 2012: 111-116 - [c15]Tushar Khot, Siddharth Srivastava, Sriraam Natarajan, Jude W. Shavlik:
Learning Relational Structure for Temporal Relation Extraction. StarAI@UAI 2012 - [c14]Siddharth Srivastava, Stuart Russell, Avi Pfeffer:
First-Order Models for POMDPs. StarAI@UAI 2012 - 2011
- [j4]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
A new representation and associated algorithms for generalized planning. Artif. Intell. 175(2): 615-647 (2011) - [j3]Siddharth Srivastava:
Foundations and applications of generalized planning. AI Commun. 24(4): 349-351 (2011) - [c13]Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner:
Qualitative Numeric Planning. AAAI 2011: 1010-1016 - [c12]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Termination and Correctness Analysis of Cyclic Control. AAAI 2011: 1567-1570 - [c11]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein, Tianjiao Zhang:
Directed Search for Generalized Plans Using Classical Planners. ICAPS 2011 - 2010
- [c10]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Computing Applicability Conditions for Plans with Loops. ICAPS 2010: 161-168 - [c9]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Merging example plans into generalized plans for non-deterministic environments. AAMAS 2010: 1341-1348
2000 – 2009
- 2009
- [j2]Tal Lev-Ami, Neil Immerman, Thomas W. Reps, Mooly Sagiv, Siddharth Srivastava, Greta Yorsh:
Simulating reachability using first-order logic with applications to verification of linked data structures. Log. Methods Comput. Sci. 5(2) (2009) - [c8]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Abstract Planning with Unknown Object Quantities and Properties. SARA 2009 - 2008
- [c7]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Learning Generalized Plans Using Abstract Counting. AAAI 2008: 991-997 - [c6]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein:
Using Abstraction for Generalized Planning. ISAIM 2008 - 2005
- [j1]Siddharth Srivastava, Frederik Maes, Dirk Vandermeulen, Wim Van Paesschen, Patrick Dupont, Paul Suetens:
Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions. NeuroImage 27(2): 253-266 (2005) - [c5]Tal Lev-Ami, Neil Immerman, Thomas W. Reps, Shmuel Sagiv, Siddharth Srivastava, Greta Yorsh:
Simulating Reachability Using First-Order Logic with Applications to Verification of Linked Data Structures. CADE 2005: 99-115 - 2004
- [c4]Siddharth Srivastava, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Wim Van Paesschen, Patrick Dupont:
Feature Based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic (FCD) Lesions. ISBI 2004: 1127-1130 - [c3]Siddharth Srivastava, Frederik Maes, Dirk Vandermeulen, Wim Van Paesschen, Patrick Dupont, Paul Suetens:
Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study. MICCAI (1) 2004: 327-334 - 2003
- [c2]Siddharth Srivastava, Frederik Maes, Dirk Vandermeulen, Patrick Dupont, Wim Van Paesschen, Paul Suetens:
An Automated 3D Algorithm for Neo-cortical Thickness Measurement. MICCAI (2) 2003: 488-495 - 2001
- [c1]Siddharth Srivastava, Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens:
Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images. MICCAI 2001: 507-515
Coauthor Index
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