Kumar Ayush

40 papers A* 5A 2B 3Journal 19Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Explainable AI Model for Binary LJ Fluids.
CoRR
Israrul H. Hashmi, Rahul Karmakar, Marripelli Maniteja, Kumar Ayush, Tarak K. Patra
2025 J jnl
LSM-2: Learning from Incomplete Wearable Sensor Data.
CoRR
Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff
2025 J jnl
Language Models' Factuality Depends on the Language of Inquiry.
CoRR
Tushar Aggarwal, Kumar Tanmay, Ayush Agrawal, Kumar Ayush, Hamid Palangi, Paul Pu Liang
2025 J jnl
Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning.
CoRR
Jaedong Hwang, Kumar Tanmay, Seok-Jin Lee, Ayush Agrawal, Hamid Palangi, Kumar Ayush, Ila Fiete, Paul Pu Liang
2025 J jnl
RADAR: Benchmarking Language Models on Imperfect Tabular Data.
CoRR
Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A. Xu, Girish Narayanswamy, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak N. Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu
2025 A* conf
Scaling Wearable Foundation Models.
ICLR
Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob E. Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff
2025 J jnl
SensorLM: Learning the Language of Wearable Sensors.
CoRR
Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A. Xu, Ahmed A. Metwally, Shawn Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
2025 — conf
Substance over Style: Evaluating Proactive Conversational Coaching Agents.
ACL (1)
Vidya Srinivas, Xuhai Xu, Xin Liu, Kumar Ayush, Isaac R. Galatzer-Levy, Shwetak N. Patel, Daniel McDuff, Tim Althoff
2025 J jnl
Substance over Style: Evaluating Proactive Conversational Coaching Agents.
CoRR
Vidya Srinivas, Xuhai Xu, Xin Liu, Kumar Ayush, Isaac R. Galatzer-Levy, Shwetak N. Patel, Daniel McDuff, Tim Althoff
2025 J jnl
The Anatomy of a Personal Health Agent.
CoRR
A. Ali Heydari, Ken Gu, Vidya Srinivas, Hong Yu, Zhihan Zhang, Yuwei Zhang, Akshay Paruchuri, Qian He, Hamid Palangi, Nova Hammerquist, Ahmed A. Metwally, Brent Winslow, Yubin Kim, Kumar Ayush, Yuzhe Yang, Girish Narayanswamy, Maxwell A. Xu, Jake Garrison, Amy A. Lee, Jenny Vafeiadou, Benjamin Graef, Isaac R. Galatzer-Levy, Erik Schenck, Andrew Barakat, Javier Perez Matos, Jacqueline Shreibati, John Hernandez, Anthony Z. Faranesh, Javier L. Prieto, Conor Heneghan, Yun Liu, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Tim Althoff, Xin Liu, Daniel McDuff, Xuhai Xu
2024 J jnl
Scaling Wearable Foundation Models.
CoRR
Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff
2024 J jnl
Transforming Wearable Data into Health Insights using Large Language Model Agents.
CoRR
Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam A. Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu
2022 — conf
Efficient Conditional Pre-training for Transfer Learning.
CVPR Workshops
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon
2021 A* conf
Efficient Poverty Mapping from High Resolution Remote Sensing Images.
AAAI
Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
2021 — conf
Forecasting Vaccination Drive In India for Herd Immunity using SIR and Prophet Model.
AIIoT
Narayana Darapaneni, Shyamal Dhua, Nikita Khare, Kumar Ayush, Karthikeyan N, Supriya Ghodke, Abhishek Rajput, Saswat P. Beurik, Anwesh Reddy Paduri
2021 A* conf
Geography-Aware Self-Supervised Learning.
ICCV
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
2021 A* conf
Negative Data Augmentation.
ICLR
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
2021 J jnl
Negative Data Augmentation.
CoRR
Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon
2021 — conf
Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime.
VISIGRAPP (3: IVAPP)
Avirup Mandal, Kumar Ayush, Parag Chaudhuri
2020 J jnl
Efficient Conditional Pre-training for Transfer Learning.
CoRR
Shuvam Chakraborty, Burak Uzkent, Kumar Ayush, Kumar Tanmay, Evan Sheehan, Stefano Ermon
2020 J jnl
Efficient Poverty Mapping using Deep Reinforcement Learning.
CoRR
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
2020 A* conf
Generating Interpretable Poverty Maps using Object Detection in Satellite Images.
IJCAI
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
2020 J jnl
Generating Interpretable Poverty Maps using Object Detection in Satellite Images.
CoRR
Kumar Ayush, Burak Uzkent, Marshall Burke, David B. Lobell, Stefano Ermon
2020 J jnl
Geography-Aware Self-Supervised Learning.
CoRR
Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon
2020 A conf
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.
WACV
Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
2020 J jnl
SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.
CoRR
Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy
2020 A conf
Towards a Unified Framework for Visual Compatibility Prediction.
WACV
Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy
2019 — conf
Improving classification performance of support vector machines via guided custom kernel search.
GECCO (Companion)
Kumar Ayush, Abhishek Sinha
2019 — conf
Powering Robust Fashion Retrieval With Information Rich Feature Embeddings.
CVPR Workshops
Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy
2019 — conf
Powering Virtual Try-On via Auxiliary Human Segmentation Learning.
ICCV Workshops
Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy
2019 — conf
Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework.
ICCV Workshops
Kumar Ayush, Surgan Jandial, Ayush Chopra, Mayur Hemani, Balaji Krishnamurthy
2018 B conf
Towards Mathematical Reasoning: A Multimodal Deep Learning Approach.
ICIP
Abhishek Sinha, Kumar Ayush
2017 J jnl
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations.
IEEE Trans. Image Process.
Srinivas S. S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu
2017 — conf
Enhanced Personalized Targeting Using Augmented Reality.
ISMAR Adjunct
Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram
2017 — conf
Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case.
CVPR Workshops
Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra
2017 — conf
Rendering curved spacetime in everyday scenes.
SIGGRAPH Posters
Kumar Ayush, Parag Chaudhuri
2017 B conf
Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach.
LCN
Kumar Ayush, Raja Karmakar, Varun Rawal, Pradyumna Kumar Bishoyi, Samiran Chattopadhyay, Sandip Chakraborty
2016 B conf
OCR++: A Robust Framework For Information Extraction from Scholarly Articles.
COLING
Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee
2016 J jnl
OCR++: A Robust Framework For Information Extraction from Scholarly Articles.
CoRR
Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee
2015 J jnl
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations.
CoRR
Srinivas S. Kruthiventi, Kumar Ayush, R. Venkatesh Babu