Aditya Sharma

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 56

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Publications

Alison Callahan, Duncan C. McElfresh, Juan M. Banda, Gabrielle Bunney, Danton Char, Jonathan H. Chen, Conor K. Corbin, Debadutta Dash, Norman L. Downing, Sneha S. Jain, Nikesh Kotecha, Jonathan Masterson, Michelle M. Mello, Keith E. Morse, Srikar Nallan, Abby Pandya, Anurang Revri, Aditya Sharma, Christopher D. Sharp, Rahul Thapa, Michael Wornow, Alaa Youssef, Michael A. Pfeffer, Nigam H. Shah
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. CoRR (2024)
Aditya Sharma, Vatsal Dixit, Dinesh Kushwaha, Nitanshu Chauhan, Vishal Kumar Saxena, Sudeb Dasgupta, Anand Bulusu
Time-Domain-Based Non-volatile In-Memory Computing Architecture Using FeFETs for Binary Neural Network. ISQED (2024)
Amith Manoharan, Aditya Sharma, Himani Belsare, Kaustab Pal, K. Madhava Krishna, Arun Kumar Singh
Bi-level Trajectory Optimization on Uneven Terrains with Differentiable Wheel-Terrain Interaction Model. CoRR (2024)
Aditya Sharma, Michael Saxon, William Yang Wang
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts. CoRR (2024)
Aditya Sharma, Luke Yoffe, Tobias Höllerer
OCTO+: A Suite for Automatic Open-Vocabulary Object Placement in Mixed Reality. CoRR (2024)
Kaustab Pal, Aditya Sharma, Avinash Sharma, K. Madhava Krishna
ATPPNet: Attention based Temporal Point cloud Prediction Network. CoRR (2024)
Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2). CoRR (2024)
Dinesh Kushwaha, Ashish Joshi, Neha Gupta, Aditya Sharma, Sandeep Miryala, Rajiv V. Joshi, Sudeb Dasgupta, Anand Bulusu
An Energy-Efficient Multi-bit Current-based Analog Compute-In-Memory Architecture and design Methodology. VLSID (2023)
Daksh Dave, Aditya Sharma, Shafii Muhammad Abdulhamid, Adeel Ahmed, Adnan Akhunzada, Rashid Amin
SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework. CoRR (2023)
Luke Yoffe, Aditya Sharma, Tobias Höllerer
OCTOPUS: Open-vocabulary Content Tracking and Object Placement Using Semantic Understanding in Mixed Reality. ISMAR-Adjunct (2023)
Daksh Dave, Aditya Sharma, Shafii Muhammad Abdulhamid, Adeel Ahmed, Adnan Akhunzada, Rashid Amin
SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework. IEEE Access 11 (2023)
Aditya Sharma
Avalanche Prediction and Dynamics using Temperature Variance , Grain Size Variance and Flow Regimes. CoRR (2023)
Gyanesh Jain, Aditya Sharma, Nirmal Patel, Amit Anil Nanavati
Tool Usage and Efficiency in an Online Test. EDM (2023)
Kaustab Pal, Aditya Sharma, Mohd. Omama, Parth N. Shah, K. Madhava Krishna
NeuroSMPC: A Neural Network guided Sampling Based MPC for On-Road Autonomous Driving. CoRR (2023)
Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. EACL (2023)
Dinesh Goyal, Aditya Sharma, Kamal Deep Garg, Bhisham Sharma, Imed Ben Dhaou
The Internet of Things (IoT) Contribution to Natural Disaster Management: Review. AICCSA (2023)
Nirmal Patel, Pooja Nagpal, Tirth Shah, Aditya Sharma, Shrey Malvi, Derek Lomas
Improving mathematics assessment readability: Do large language models help? J. Comput. Assist. Learn. 39 (3) (2023)
Luke Yoffe, Aditya Sharma, Tobias Höllerer
OCTOPUS: Open-vocabulary Content Tracking and Object Placement Using Semantic Understanding in Mixed Reality. CoRR (2023)
Basant Sharma, Aditya Sharma, K. Madhava Krishna, Arun Kumar Singh
Hilbert Space Embedding-based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction. CoRR (2023)
Basant Sharma, Aditya Sharma, K. Madhava Krishna, Arun Kumar Singh
Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction. IROS (2023)
Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang
WikiWhy: Answering and Explaining Cause-and-Effect Questions. ICLR (2023)
Kaustab Pal, Aditya Sharma, Mohd. Omama, Parth N. Shah, K. Madhava Krishna
NeuroSMPC: A Neural Network Guided Sampling Based MPC for On-Road Autonomous Driving. CASE (2023)
Dipanwita Guhathakurta, Fatemeh Rastgar, Aditya Sharma, K. Madhava Krishna, Arun Kumar Singh
Fast Joint Multi-Robot Trajectory Optimization by GPU Accelerated Batch Solution of Distributed Sub-Problems. Future Internet 9 (2022)
Sachin Kumar, Aditya Sharma, B. Kartheek Reddy, Shreyas Sachan, Vaibhav Jain, Jagvinder Singh
An intelligent model based on integrated inverse document frequency and multinomial Naive Bayes for current affairs news categorisation. Int. J. Syst. Assur. Eng. Manag. 13 (3) (2022)
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR (2022)
Dinesh Kushwaha, Aditya Sharma, Neha Gupta, Ritik Raj, Ashish Joshi, Jwalant Mishra, Rajat Kohli, Sandeep Miryala, Rajiv V. Joshi, Sudeb Dasgupta, Anand Bulusu
A 65nm Compute-In-Memory 7T SRAM Macro Supporting 4-bit Multiply and Accumulate Operation by Employing Charge Sharing. ISCAS (2022)
Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. CoRR (2022)
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy (2022)
Dipanwita Guhathakurta, Fatemeh Rastgar, Aditya Sharma, K. Madhava Krishna, Arun Kumar Singh
Fast Joint Multi-Robot Trajectory Optimization by GPU Accelerated Batch Solution of Distributed Sub-Problems. Frontiers Robotics AI 9 (2022)
Vivek K. Adajania, Aditya Sharma, Anish Gupta, Houman Masnavi, K. Madhava Krishna, Arun Kumar Singh
Multi-Modal Model Predictive Control Through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving. IEEE Robotics Autom. Lett. 7 (2) (2022)
Nirmal Patel, Mithilesh Thakkar, Bansri Rabadiya, Darshan Patel, Shrey Malvi, Aditya Sharma, Derek Lomas
Equitable Access to Intelligent Tutoring Systems Through Paper-Digital Integration. ITS (2022)
Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang
WikiWhy: Answering and Explaining Cause-and-Effect Questions. CoRR (2022)
Aditya Sharma
seqClustR: An R Package for Sequence Clustering (Short Paper). EDM (Workshops) (2021)
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI (2021)
Vivek K. Adajania, Aditya Sharma, Anish Gupta, Houman Masnavi, K. Madhava Krishna, Arun Kumar Singh
Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving. CoRR (2021)
Siddhartha Rusiya, Aditya Sharma, Debajyoti Debbarma, Samarjit Debbarma
Rhetorical Role Labelling for Legal Judgements and Legal Document Summarization. FIRE (Working Notes) (2021)
Anil Singh Parihar, Pratik Anand, Aditya Sharma, Amol Grover
UndarkGAN: Low-light Image Enhancement with Cycle-consistent Adversarial Networks. ICCCSP (2021)
Dinesh Kumar Vishwakarma, Mayank Jindal, Ayush Mittal, Aditya Sharma
Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers. CoRR (2021)
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR (2021)
Ravneet Punia, Aditya Sharma, Sarthak Pruthi, Minni Jain
Improving Neural Machine Translation for Sanskrit-English. ICON (2020)
Aditya Sharma, Alex Daniels
Tweets Sentiment Analysis via Word Embeddings and Machine Learning Techniques. CoRR (2020)
Erastus Karanja, Aditya Sharma, Ibrahim Salama
What does MIS survey research reveal about diversity and representativeness in the MIS field? A content analysis approach. Scientometrics 122 (3) (2020)
Tirth Shah, Lukas Olson, Aditya Sharma, Nirmal Patel
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer? CoRR (2020)
Aditya Sharma, Ishan Goyal, Silvia M. Figueira
Pin&Post - App-Based Reporting of Electrical Fire Hazards to Prevent Wildfires. GHTC (2020)
Aditya Sharma, Ila Sharma, Aaditya Jain
A Construction of Security Enhanced and Efficient Handover AKA Protocol in 5G Communication Network. ICCCNT (2019)
Giorgi Nadiradze, Amirmojtaba Sabour, Aditya Sharma, Ilia Markov, Vitaly Aksenov, Dan Alistarh
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model. CoRR (2019)
Aditya Sharma, Aaditya Jain, Ila Sharma
Exposing the Security Weaknesses of Fifth Generation Handover Communication. ICCCNT (2019)
Chandrahas, Aditya Sharma, Partha P. Talukdar
Towards Understanding the Geometry of Knowledge Graph Embeddings. ACL (1) (2018)
Nirmal Patel, Aditya Sharma, Collin Sellman, Derek J. Lomas
Curriculum Pacing: A New Approach to Discover Instructional Practices in Classrooms. ITS (2018)
Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images. CoRR (2018)
Mitchell Spryn, Aditya Sharma, Dhawal Parkar, Madhur Shrimal
Distributed Deep Reinforcement Learning on the Cloud for Autonomous Driving. SEFAIAS@ICSE (2018)
Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images. DLMIA/ML-CDS@MICCAI (2018)
Prabhjot Kaur, Aditya Sharma, Aditya Nigam, Arnav Bhavsar
MR-Srnet: Transformation of Low Field MR Images to High Field MR Images. ICIP (2018)
Aditya Sharma, Zarana Parekh, Partha P. Talukdar
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods. EMNLP (2017)
Nikolas Wolfe, Aditya Sharma, Lukas Drude, Bhiksha Raj
The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning. CoRR (2017)
Shota Tobaru, Ryuto Shigenobu, Aditya Sharma, Tomonobu Senjyu
Optimal operation method with fuel cells in plural regional power systems. ICIT (2016)
Aditya Sharma, Dominic Thomas, Benn R. Konsynski
When Is RFID Perceived as a Radical Technology? WEB (2009)
Aditya Sharma, M. C. Shrotriya, Omar Farooq, Zia Ahmad Abbasi
Hybrid wavelet based LPC features for Hindi speech recognition. Int. J. Inf. Commun. Technol. 1 (3/4) (2008)
Juan Pablo Hourcade, Keith B. Perry, Aditya Sharma
: helping four year olds point with ease. IDC (2008)
Aditya Sharma, Dominic Thomas, Benn R. Konsynski
Strategic and Institutional Perspectives in the Evaluation, Adoption and Early Integration of Radio Frequency Identification (RFID): An Empirical Investigation of Current and Potential Adopters. HICSS (2008)
Aditya Sharma, Alex Citurs, Benn R. Konsynski
Strategic and Institutional Perspectives in the Adoption and Early Integration of Radio Frequency Identification (RFID). HICSS (2007)
Aditya Sharma, Dominic Thomas, Benn R. Konsynski
What makes an Innovation Radical? Finding the "radicalness" in radical innovation adoption. AMCIS (2006)
Aditya Sharma, Alex Citurs
Radio Frquency Identification (RFID) Adoption Drivers: A Radical Innovation Adoption Perspective. AMCIS (2005)
Aditya Sharma, Alex Citurs
Incorporating Personality into UTAUT: Individual Differences and User Acceptance of IT. AMCIS (2004)