OCR++: A Robust Framework For Information Extraction from Scholarly Articles. - Mayank Singh 001; Barnopriyo Barua; Priyank Palod; Manvi Garg; Sidhartha Satapathy; Samuel Bushi; Kumar Ayush; Krishna Sai Rohith; Tulasi Gamidi; Pawan Goyal 002; Animesh Mukherjee 001 (COLING, 2016)

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. - Avisek Lahiri; Kumar Ayush; Prabir Kumar Biswas; Pabitra Mitra (CVPR Workshops, 2017)

Enhanced Personalized Targeting Using Augmented Reality. - Gaurush Hiranandani; Kumar Ayush; Varsha Chinnaobireddy; Atanu R. Sinha; Pranav Maneriker; Sai Varun Reddy Maram (ISMAR Adjunct, 2017)

Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach. - Kumar Ayush; Raja Karmakar; Varun Rawal; Pradyumna Kumar Bishoyi; Samiran Chattopadhyay; Sandip Chakraborty 001 (LCN, 2017)

Rendering curved spacetime in everyday scenes. - Kumar Ayush; Parag Chaudhuri (SIGGRAPH Posters, 2017)

DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations. - Srinivas S. S. Kruthiventi; Kumar Ayush; R. Venkatesh Babu (IEEE Trans. Image Process., 2017)

Towards Mathematical Reasoning: A Multimodal Deep Learning Approach. - Abhishek Sinha; Kumar Ayush (ICIP, 2018)

Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. - Ayush Chopra; Abhishek Sinha; Hiresh Gupta; Mausoom Sarkar; Kumar Ayush; Balaji Krishnamurthy (CVPR Workshops, 2019)

Improving classification performance of support vector machines via guided custom kernel search. - Kumar Ayush; Abhishek Sinha (GECCO (Companion), 2019)

Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework. - Kumar Ayush; Surgan Jandial; Ayush Chopra; Mayur Hemani; Balaji Krishnamurthy (ICCV Workshops, 2019)

Powering Virtual Try-On via Auxiliary Human Segmentation Learning. - Kumar Ayush; Surgan Jandial; Ayush Chopra; Balaji Krishnamurthy (ICCV Workshops, 2019)

Generating Interpretable Poverty Maps using Object Detection in Satellite Images. - Kumar Ayush; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (IJCAI, 2020)

SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On. - Surgan Jandial; Ayush Chopra; Kumar Ayush; Mayur Hemani; Abhijeet Kumar; Balaji Krishnamurthy (WACV, 2020)

Towards a Unified Framework for Visual Compatibility Prediction. - Anirudh Singhal; Ayush Chopra; Kumar Ayush; Utkarsh Patel; Balaji Krishnamurthy (WACV, 2020)

Efficient Poverty Mapping using Deep Reinforcement Learning. - Kumar Ayush; Burak Uzkent; Marshall Burke; David B. Lobell; Stefano Ermon (CoRR, 2020)

Efficient Poverty Mapping from High Resolution Remote Sensing Images. - Kumar Ayush; Burak Uzkent; Kumar Tanmay; Marshall Burke; David B. Lobell; Stefano Ermon (AAAI, 2021)

Forecasting Vaccination Drive In India for Herd Immunity using SIR and Prophet Model. - Narayana Darapaneni; Shyamal Dhua; Nikita Khare; Kumar Ayush; Karthikeyan N; Supriya Ghodke; Abhishek Rajput; Saswat P. Beurik; Anwesh Reddy Paduri (AIIoT, 2021)

Geography-Aware Self-Supervised Learning. - Kumar Ayush; Burak Uzkent; Chenlin Meng; Kumar Tanmay; Marshall Burke; David B. Lobell; Stefano Ermon (ICCV, 2021)

Negative Data Augmentation. - Abhishek Sinha; Kumar Ayush; Jiaming Song; Burak Uzkent; Hongxia Jin; Stefano Ermon (ICLR, 2021)

Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime. - Avirup Mandal; Kumar Ayush; Parag Chaudhuri (VISIGRAPP (3: IVAPP), 2021)

Efficient Conditional Pre-training for Transfer Learning. - Shuvam Chakraborty; Burak Uzkent; Kumar Ayush; Kumar Tanmay; Evan Sheehan; Stefano Ermon (CVPR Workshops, 2022)

Transforming Wearable Data into Health Insights using Large Language Model Agents. - Mike A. Merrill; Akshay Paruchuri; Naghmeh Rezaei; Geza Kovacs; Javier Perez Matos; Yun Liu 013; Erik Schenck; Nova Hammerquist; Jake Sunshine; Shyam A. Tailor; Kumar Ayush; Hao-Wei Su; et al. (CoRR, 2024)

Scaling Wearable Foundation Models. - Girish Narayanswamy; Xin Liu 034; Kumar Ayush; Yuzhe Yang 003; Xuhai Xu; Shun Liao; Jake Garrison; Shyam A. Tailor; Jake Sunshine; Yun Liu 013; Tim Althoff; Shrikanth Narayanan; et al. (CoRR, 2024)

Substance over Style: Evaluating Proactive Conversational Coaching Agents. - Vidya Srinivas; Xuhai Xu; Xin Liu 034; Kumar Ayush; Isaac R. Galatzer-Levy; Shwetak N. Patel; Daniel McDuff; Tim Althoff (ACL (1), 2025)

Scaling Wearable Foundation Models. - Girish Narayanswamy; Xin Liu 034; Kumar Ayush; Yuzhe Yang 003; Xuhai Xu; Shun Liao; Jake Garrison; Shyam A. Tailor; Jacob E. Sunshine; Yun Liu 013; Tim Althoff; Shrikanth Narayanan; et al. (ICLR, 2025)

An Explainable AI Model for Binary LJ Fluids. - Israrul H. Hashmi; Rahul Karmakar; Marripelli Maniteja; Kumar Ayush; Tarak K. Patra (CoRR, 2025)

Language Models' Factuality Depends on the Language of Inquiry. - Tushar Aggarwal; Kumar Tanmay; Ayush Agrawal; Kumar Ayush; Hamid Palangi; Paul Pu Liang (CoRR, 2025)

LSM-2: Learning from Incomplete Wearable Sensor Data. - Maxwell A. Xu; Girish Narayanswamy; Kumar Ayush; Dimitris Spathis; Shun Liao; Shyam A. Tailor; Ahmed Metwally 002; A. Ali Heydari; Yuwei Zhang; Jake Garrison; Samy Abdel-Ghaffar; Xuhai Xu; et al. (CoRR, 2025)

RADAR: Benchmarking Language Models on Imperfect Tabular Data. - Ken Gu; Zhihan Zhang 002; Kate Lin; Yuwei Zhang; Akshay Paruchuri; Hong Yu 001; Mehran Kazemi; Kumar Ayush; A. Ali Heydari; Maxwell A. Xu; Girish Narayanswamy; Yun Liu 013; et al. (CoRR, 2025)

SensorLM: Learning the Language of Wearable Sensors. - 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 013; et al. (CoRR, 2025)

Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning. - Jaedong Hwang; Kumar Tanmay; Seok-Jin Lee; Ayush Agrawal; Hamid Palangi; Kumar Ayush; Ila Fiete; Paul Pu Liang (CoRR, 2025)