Shreyas Kulkarni

27 papers A* 1A 1B 2C 1Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can Large Language Models Understand, Reason About, and Generate Code-Switched Text?
CoRR
Genta Indra Winata, David Anugraha, Patrick Amadeus Irawan, Anirban Das, Haneul Yoo, Paresh Dashore, Shreyas Kulkarni, Ruochen Zhang, Haruki Sakajo, Frederikus Hudi, Anaelia Ovalle, Syrielle Montariol, Felix Gaschi, Michael Anugraha, Rutuj Ravindra Puranik, Zawad Hayat Ahmed, Adril Putra Merin, Emmanuele Chersoni
2025 J jnl
CataractBot: An LLM-powered Expert-in-the-Loop Chatbot for Cataract Patients.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Pragnya Ramjee, Bhuvan Sachdeva, Satvik Golechha, Shreyas Kulkarni, Geeta Fulari, Kaushik Murali, Mohit Jain
2025 — conf
Enhancing Circuit Diagram Understanding via Near Sight Correction Using VLMs.
ICCVW
Shreyas Kulkarni, Vivek Kumar, Remish Leonard Minz, Munender Varshney, Thiruvengadam Samon, Abhishek Mitra, Nikhil Kulkarni, Nilanjan Chakravortty, Prateek Mital, Kingshuk Banerjee
2025 — conf
Framework for tracking metadata, lineage and model provenance in hybrid simulation-AI HPC exascale workflows.
CUG
Martin Foltin, Andrew Shao, Rishabh Sharma, Shreyas Kulkarni, Ann Mary Justine Koomthanam, Aalap Tripathy, Cong Xu, Wenqian Dong, Suparna Bhattacharya, Brian Sammuli, Paolo Faraboschi
2025 A* conf
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation.
NDSS
Dzung Pham, Shreyas Kulkarni, Amir Houmansadr
2025 — conf
Understanding Figurative Meaning through Explainable Visual Entailment.
NAACL (Long Papers)
Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan
2025 J jnl
Vision-language model for report generation and outcome prediction in CT pulmonary angiogram.
npj Digit. Medicine
Zhusi Zhong, Yuli Wang, Jing Wu, Wen-Chi Hsu, Vin Somasundaram, Lulu Bi, Shreyas Kulkarni, Zhuoqi Ma, Scott Collins, Grayson Baird, Sun Ho Ahn, Xue Feng, Ihab Kamel, Cheng Ting Lin, Colin Greineder, Michael Atalay, Zhicheng Jiao, Harrison X. Bai
2024 J jnl
CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients.
CoRR
Pragnya Ramjee, Bhuvan Sachdeva, Satvik Golechha, Shreyas Kulkarni, Geeta Fulari, Kaushik Murali, Mohit Jain
2024 J jnl
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data.
IEEE J. Biomed. Health Informatics
Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison X. Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao
2024 B conf
Optimization-Based Grid Energy Management System with BESS and EV Charging Load for Peak Shaving.
IEEE Big Data
Shreyas Kulkarni, K. R. Sheetal Kumar, Akhash Vellandurai, Vinoth Kumar
2024 J jnl
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data.
CoRR
Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay
2024 J jnl
V-FLUTE: Visual Figurative Language Understanding with Textual Explanations.
CoRR
Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan
2023 A conf
360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance.
IROS
Shreyas Kulkarni, Peng Yin, Sebastian A. Scherer
2023 J jnl
Generalized Distance Metric for Different DHT Routing Algorithms in Peer-to-Peer Networks.
CoRR
Rashmi Kushwaha, Shreyas Kulkarni, Yatindra Nath Singh
2023 — conf
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model.
MICCAI (5)
Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison X. Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao
2023 J jnl
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Active Data Manipulation.
CoRR
Dzung Pham, Shreyas Kulkarni, Amir Houmansadr
2022 J jnl
360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance.
CoRR
Shreyas Kulkarni, Peng Yin, Sebastian A. Scherer
2022 — conf
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks.
ECCV Workshops (7)
Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati
2022 J jnl
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks.
CoRR
Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati
2022 — —
Distributed, Intelligent Edge-Sensing for a Smarter Grid.
Shreyas Kulkarni
2020 — conf
Low-cost Smart Home Energy Management System based on Decentralized Real-Time Pricing.
ISGT
Rohit Jinsiwale, Shreyas Kulkarni, Deepak Divan
2020 — conf
Sensing Service Transformer Secondary Currents using Planar Magnetic Pick-up Coils.
ISGT
Shreyas Kulkarni, Deepak Divan
2019 — conf
A Novel Approach to Implement Low-Cost AMI Functionality using Delay-Tolerant Communication.
ISGT
Shreyas Kulkarni, Eric Myers, Szilárd Lipták, Deepak Divan
2019 J jnl
Enabling a Decentralized Smart Grid Using Autonomous Edge Control Devices.
IEEE Internet Things J.
Shreyas Kulkarni, Qinchen Gu, Eric Myers, Lalith Polepeddi, Szilárd Lipták, Raheem Beyah, Deepak Divan
2019 — conf
Evaluating Time Varying Connectivities and System Throughput in Opportunistic Networks for Smart Grid Applications.
WF-IoT
Shreyas Kulkarni, Deepak Divan
2019 C conf
Low-Cost Industrial Monitoring Platform for Energy Efficiency and Optimized Plant Productivity.
IECON
Aniruddh Marellapudi, Shreyas Kulkarni, Szilárd Lipták, Sathish Jayaraman, Deepak Divan
2018 B conf
Determining the Optimal Fuzzifier Range for Alpha-Planes of General Type-2 Fuzzy Sets.
FUZZ-IEEE
Shreyas Kulkarni, Rishabh Agrawal