Siddharth Singh

94 papers A* 4A 6B 2C 5Misc 3Journal 46Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Realistic Synthetic Household Data Generation at Scale.
CoRR
Siddharth Singh, Ifrah Idrees, Abraham Dauhajre
2025 A* conf
Collaborative Motion Planning for Multi-Manipulator Systems Through Reinforcement Learning and Dynamic Movement Primitives.
ICRA
Siddharth Singh, Tian Xu, Qing Chang
2025 J jnl
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers.
CoRR
Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele
2025 — conf
Design of a 32 Channel 5G NR MIMO Base Station.
OpenRan@MobiCom
K. Sai Praneeth, Jeeva Keshav Sattianarayanin, Sai Prasanth Kotturi, Rohit Singh, Aravind Gundlapalle, Siddharth Singh, Radha Krishna Ganti
2025 J jnl
Gemstones: A Model Suite for Multi-Faceted Scaling Laws.
CoRR
Sean McLeish, John Kirchenbauer, David Yu Miller, Siddharth Singh, Abhinav Bhatele, Micah Goldblum, Ashwinee Panda, Tom Goldstein
2025 J jnl
Generalizing kinematic skill learning to energy efficient dynamic motion planning using optimized Dynamic Movement Primitives.
Robotics Comput. Integr. Manuf.
Tian Xu, Siddharth Singh, Qing Chang
2025 C conf
HPC-Coder-v2: Studying Code LLMs Across Low-Resource Parallel Languages.
ISC
Aman Chaturvedi, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2025 J jnl
Hybrid Robot Learning for Automatic Robot Motion Planning in Manufacturing.
CoRR
Siddharth Singh, Tian Yu, Qing Chang, John Karigiannis, Shaopeng Liu
2025 J jnl
LLM Inference Beyond a Single Node: From Bottlenecks to Mitigations with Fast All-Reduce Communication.
CoRR
Prajwal Singhania, Siddharth Singh, Lannie Dalton Hough, Akarsh Srivastava, Harshitha Menon, Charles F. Jekel, Abhinav Bhatele
2025 A conf
Plexus: Taming Billion-edge Graphs with 3D Parallel Full-graph GNN Training.
SC
Aditya K. Ranjan, Siddharth Singh, Cunyang Wei, Abhinav Bhatele
2025 J jnl
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training.
CoRR
Aditya K. Ranjan, Siddharth Singh, Cunyang Wei, Abhinav Bhatele
2025 J jnl
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.
CoRR
Jonas Geiping, Sean McLeish, Neel Jain, John Kirchenbauer, Siddharth Singh, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Tom Goldstein
2025 J jnl
The Big Send-off: High Performance Collectives on GPU-based Supercomputers.
CoRR
Siddharth Singh, Mahua Singh, Abhinav Bhatele
2025 — conf
Towards an Algorithm-based Approach for Soft Error Tolerance using Interval Arithmetic.
HPEC
Larry Tang, Varun Kumar, Matthew Ngaw, Siddharth Singh, Devdutt Nadkarni, Lohith Tummala, Ken Mai, Franz Franchetti
2024 J jnl
A multilingual, multimodal dataset of aggression and bias: the ComMA dataset.
Lang. Resour. Evaluation
Ritesh Kumar, Shyam Ratan, Siddharth Singh, Enakshi Nandi, Laishram Niranjana Devi, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Akanksha Bansal
2024 — conf
AI-Powered Model for Intelligent Resume Recommendation and Feedback.
ICCCNT
Abhishek Mishra, Siddharth Singh, R. C. Jisha
2024 C conf
BLIPS: Bluetooth locator for an Indoor Positioning System in Realtime.
COMPASS
Shyama Sastha Krishnamoorthy Srinivasan, Siddharth Singh, Pushpendra Singh, Mohan Kumar
2024 A* conf
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs.
NeurIPS
Abhimanyu Hans, John Kirchenbauer, Yuxin Wen, Neel Jain, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
2024 J jnl
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs.
CoRR
Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
2024 J jnl
Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement Primitives.
CoRR
Siddharth Singh, Tian Xu, Qing Chang
2024 — conf
Demo of LiFE: A web app for collection, management and annotation of linguistic data.
COMAD/CODS
Siddharth Singh, Shyam Ratan, Neerav Mathur, Ritesh Kumar
2024 A conf
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers.
SC
Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele
2024 — conf
Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis.
WWW (Companion Volume)
Prabir Mondal, Siddharth Singh, Kushum, Sriparna Saha, Jyoti Prakash Singh, Brijraj Singh, Niranjan Pedanekar
2024 J jnl
Genre Effect Toward Developing a Multi-Modal Movie Recommendation System in Indian Setting.
IEEE Trans. Consumer Electron.
Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Jyoti Prakash Singh, Amit Kumar Singh
2024 J jnl
HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages.
CoRR
Aman Chaturvedi, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2024 — conf
HarmPot: An Annotation Framework for Evaluating Offline Harm Potential of Social Media Text.
LREC/COLING
Ritesh Kumar, Ojaswee Bhalla, Madhu Vanthi, Shehlat Maknoon Wani, Siddharth Singh
2024 J jnl
HarmPot: An Annotation Framework for Evaluating Offline Harm Potential of Social Media Text.
CoRR
Ritesh Kumar, Ojaswee Bhalla, Madhu Vanthi, Shehlat Maknoon Wani, Siddharth Singh
2024 J jnl
Lie Theory Based Optimization for Unified State Planning of Mobile Manipulators.
CoRR
William Smith, Siddharth Singh, Julia Rudy, Yuxiang Guan
2024 J jnl
Loki: Low-Rank Keys for Efficient Sparse Attention.
CoRR
Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
2024 A* conf
Loki: Low-rank Keys for Efficient Sparse Attention.
NeurIPS
Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
2024 — conf
ML based Web Application Firewall for Signature and Anomaly Detection Using Feature Extraction.
ICCCNT
Sanjana Dhote, Aditya Magdum, Siddharth Singh, Dipika Raigar
2024 — conf
Multi-component Damage Diagnostics of a Three-phase Induction Machine Through Hurst Exponent Estimates.
ICCCNT
Kommanaboina Mahender, Inturi Vamsi, Radhika Sudha, G. R. Sabareesh, Siddharth Singh, Nikhil Damwani
2024 — conf
Physical Layer Design of a 5G NR Base Station.
NCC
Jeeva Keshav S, K. B. S. D. Sai Praneeth, K. B. S. M. D. S. Sai Prasanth, Rohit Singh, S. R. Santhosh Kumar, Raj Surya, Siva P, Carlton D'silva, Palle Bharath, Hari Prakash, Lakshman S, Raviteja Devara, Parthiban, Aravind Gundlapalle, Siddharth Singh, Aswathylakshmi P., Prabha V, Kalyani Bhukya, Nirubana Jayapal, Jyotirmay Saini, Singiresu Yogesh, Akash KR, Dhupam Naveen, Radha Krishna Ganti, Rohit Budhiraja
2024 — conf
Probing Attention-Driven Normalizing Flow Network for Low-Light Image Enhancement.
ICPR (32)
Siddharth Singh, Nancy Mehta, K. N. Prakash, Santosh Kumar Vipparthi, Subrahmanyam Murala
2024 J jnl
Semantic Search Evaluation.
CoRR
Chujie Zheng, Jeffrey Wang, Shuqian Albee Zhang, Anand Kishore, Siddharth Singh
2023 B conf
A Framework for Realistic Simulation of Daily Human Activity.
RO-MAN
Ifrah Idrees, Siddharth Singh, Kerui Xu, Dylan F. Glas
2023 J jnl
A Framework for Realistic Simulation of Daily Human Activity.
CoRR
Ifrah Idrees, Siddharth Singh, Kerui Xu, Dylan F. Glas
2023 A conf
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training.
ICS
Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele
2023 J jnl
A Multistage Framework for Autonomous Robotic Mapping with Targeted Metrics.
Robotics
William Smith, Yongming Qin, Siddharth Singh, Hudson Burke, Tomonari Furukawa, Gamini Dissanayake
2023 J jnl
A Novel Tensor-Expert Hybrid Parallelism Approach to Scale Mixture-of-Experts Training.
CoRR
Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele
2023 C conf
A Physical-Statistical Retrieval Framework to Estimate SWE from X and Ku-Band SAR Observations.
IGARSS
Siddharth Singh, Michael Durand, Edward Kim, Jinmei Pan, Do Hyuk Kang, Ana P. Barros
2023 J jnl
Communication-minimizing Asynchronous Tensor Parallelism.
CoRR
Siddharth Singh, Zack Sating, Abhinav Bhatele
2023 A conf
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training.
IPDPS
Siddharth Singh, Abhinav Bhatele
2023 J jnl
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training.
CoRR
Siddharth Singh, Abhinav Bhatele
2023 — conf
Impulsion of Movie's Content-Based Factors in Multi-modal Movie Recommendation System.
ICONIP (15)
Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Naoyuki Onoe, Brijraj Singh
2023 J jnl
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization.
CoRR
Siddharth Singh, Zachary Sating, Abhinav Bhatele
2023 — conf
Task-Specific and Graph Convolutional Network based Multi-modal Movie Recommendation System in Indian Setting.
INNS DLIA@IJCNN
Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Jyoti Prakash Singh, Naoyuki Onoe
2022 J jnl
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi.
CoRR
Ritesh Kumar, Siddharth Singh, Shyam Ratan, Mohit Raj, Sonal Sinha, Bornini Lahiri, Vivek Seshadri, Kalika Bali, Atul Kr. Ojha
2022 A conf
AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning.
IPDPS
Siddharth Singh, Abhinav Bhatele
2022 J jnl
Demo of the Linguistic Field Data Management and Analysis System - LiFE.
CoRR
Siddharth Singh, Ritesh Kumar, Shyam Ratan, Sonal Sinha
2022 A* conf
Learning to Map for Active Semantic Goal Navigation.
ICLR
Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
2022 — conf
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).
SemEval@NAACL
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
2022 — ed.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, Seattle, Washington, United States, July 14-15, 2022
SemEval@NAACL
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
2022 J jnl
PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems.
IEEE Trans. Computers
Anirban Ghose, Siddharth Singh, Vivek Kulaharia, Lokesh Dokara, Srijeeta Maity, Soumyajit Dey
2022 A conf
Status-quo Policy Gradient in Multi-Agent Reinforcement Learning.
AAMAS
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy
2022 B conf
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse.
LREC
Ritesh Kumar, Shyam Ratan, Siddharth Singh, Enakshi Nandi, Laishram Niranjana Devi, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Akanksha Bansal, Atul Kr. Ojha
2022 — conf
Vision-based Fall Detection in Aircraft Maintenance Environment with Pose Estimation.
MFI
Adeyemi Osigbesan, Solene Barrat, Harkeerat Singh, Dongzi Xia, Siddharth Singh, Yang Xing, Weisi Guo, Antonios Tsourdos
2021 — conf
Demo of the Linguistic Field Data Management and Analysis System - LiFE.
ICON
Siddharth Singh, Ritesh Kumar, Shyam Ratan, Sonal Sinha
2021 J jnl
Domain Adaptation for Real-World Single View 3D Reconstruction.
CoRR
Brandon Leung, Siddharth Singh, Arik Horodniceanu
2021 J jnl
How to Train Your Neural Network: A Comparative Evaluation.
CoRR
Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2021 J jnl
Learning to Map for Active Semantic Goal Navigation.
CoRR
Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
2021 J jnl
Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning.
CoRR
Siddharth Singh, Abhinav Bhatele
2021 — conf
SVM for Hate Speech and Offensive Content Detection.
FIRE (Working Notes)
Shyam Ratan, Sonal Sinha, Siddharth Singh
2021 J jnl
Status-quo policy gradient in Multi-Agent Reinforcement Learning.
CoRR
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy
2021 J jnl
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse.
CoRR
Ritesh Kumar, Enakshi Nandi, Laishram Niranjana Devi, Shyam Ratan, Siddharth Singh, Akash Bhagat, Yogesh Dawer
2020 — conf
Developing a Multilingual Annotated Corpus of Misogyny and Aggression.
TRAC@LREC
Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha
2020 J jnl
Developing a Multilingual Annotated Corpus of Misogyny and Aggression.
CoRR
Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha
2020 J jnl
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss.
CoRR
Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy
2020 J jnl
PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems.
CoRR
Anirban Ghose, Siddharth Singh, Vivek Kulaharia, Lokesh Dokara, Srijeeta Maity, Soumyajit Dey
2020 J jnl
SPIHT-based multiple image watermarking in NSCT domain.
Concurr. Comput. Pract. Exp.
Chandan Kumar, Amit Kumar Singh, Pardeep Kumar, Rajiv Singh, Siddharth Singh
2020 J jnl
Stance Detection in Web and Social Media: A Comparative Study.
CoRR
Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh
2019 — conf
Analysis of Encryption and Lossless Compression Techniques for Secure Data Transmission.
ICCCS
Siddharth Singh, Raaghavv Devgon
2019 Misc conf
RoboNet: Large-Scale Multi-Robot Learning.
CoRL
Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn
2019 J jnl
RoboNet: Large-Scale Multi-Robot Learning.
CoRR
Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn
2019 — conf
Stance Detection in Web and Social Media: A Comparative Study.
CLEF
Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh
2018 J jnl
Gradient Aware - Shrinking Domain based Control Design for Reactive Planning Frameworks used in Autonomous Vehicles.
CoRR
Adarsh Modh, Siddharth Singh, A. V. S. Sai Bhargav Kumar, Sriram N. N., K. Madhava Krishna
2018 — conf
The Effectiveness of a two-Layer Neural Network for Recommendations.
ICLR (Workshop)
Oleg Rybakov, Vijai Mohan, Avishkar Misra, Scott LeGrand, Rejith Joseph, Kiuk Chung, Siddharth Singh, Qian You, Eric T. Nalisnick, Leo Dirac, Runfei Luo
2018 J jnl
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool.
CoRR
Tsung-Ting Kuo, Jina Huh, Jihoon Kim, Robert E. El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu
2018 — conf
Worth its Weight in Likes: Towards Detecting Fake Likes on Instagram.
WebSci
Indira Sen, Anupama Aggarwal, Shiven Mian, Siddharth Singh, Ponnurangam Kumaraguru, Anwitaman Datta
2017 — conf
An Empirical Analysis of Facebook's Free Basics.
SIGMETRICS (Abstracts)
Siddharth Singh, Vedant Nanda, Rijurekha Sen, Sohaib Ahmad, Satadal Sengupta, Amreesh Phokeer, Zaid Ahmed Farooq, Taslim Arefin Khan, Ponnurangam Kumaraguru, Ihsan Ayyub Qazi, David R. Choffnes, Krishna P. Gummadi
2017 J jnl
Hybrid NSCT domain multiple watermarking for medical images.
Multim. Tools Appl.
Siddharth Singh, Vivek Singh Rathore, Rajiv Singh
2017 J jnl
Hybrid semi-blind image watermarking in redundant wavelet domain.
Multim. Tools Appl.
Siddharth Singh, Vivek Singh Rathore, Rajiv Singh, Manoj Kumar Singh
2017 C conf
Leveraging Facebook's Free Basics Engine for Web Service Deployment in Developing Regions.
ICTD
Siddharth Singh, Vedant Nanda, Rijurekha Sen, Satadal Sengupta, Ponnurangam Kumaraguru, Krishna P. Gummadi
2016 Misc conf
Developing an Electronic Health Record-Based Cohort of Patients with Inflammatory Bowel Diseases for Observational Patient-Centered Outcomes Research.
AMIA
Siddharth Singh, Paulina Paul, Chun-Nan Hsu, Lucila Ohno-Machado
2015 J jnl
Energy Efficient and High Performance Current-Mode Neural Network Circuit using Memristors and Digitally Assisted Analog CMOS Neurons.
CoRR
Aranya Goswamy, Sagar Kumashi, Vikash Sehwag, Siddharth Singh, Manny Jain, Kaushik Roy, Mrigank Sharad
2015 — conf
Singular Value Decomposition Based Image Steganography Using Integer Wavelet Transform.
SIRS
Siddharth Singh, Rajiv Singh, Tanveer J. Siddiqui
2014 J jnl
Activation of shape and semantic information during ambiguous homophone processing: eye tracking evidence from Hindi.
Cogn. Process.
Ramesh Kumar Mishra, Siddharth Singh
2013 J jnl
Robust Image Data Hiding Technique for Copyright Protection.
Int. J. Inf. Secur. Priv.
Siddharth Singh, Tanveer J. Siddiqui
2007 C conf
RßHpred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM and Protein Threading.
CIT
Siddharth Singh, Krishnan Hajela, Ashwini Kumar Ramani
2007 — conf
SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM.
PRIB
Siddharth Singh, Krishnan Hajela, Ashwini Kumar Ramani
2006 — conf
Compact thermal models for estimation of temperature-dependent power/performance in FinFET technology.
ASP-DAC
Aditya Bansal, Mesut Meterelliyoz, Siddharth Singh, Jung Hwan Choi, Jayathi Murthy, Kaushik Roy
2004 Misc conf
3D augmented reality comic book and notes for children using mobile phones.
IDC
Siddharth Singh, Adrian David Cheok, Guo Loong Ng, Farzam Farbiz
2004 — conf
A step towards anywhere gaming.
Advances in Computer Entertainment Technology
Siddharth Singh, Adrian David Cheok, Soh Chor Kiong
2004 — conf
Augmented reality post-it system.
Advances in Computer Entertainment Technology
Siddharth Singh, Adrian David Cheok, Guo Loong Ng, Farzam Farbiz