Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach. - Shubham Dokania; Ayush Chopra; Feroz Ahmad; Anil Singh Parihar (IJCCI, 2017)

Unsupervised Feature Descriptors Based Facial Tracking over Distributed Geospatial Subspaces. - Shubham Dokania; Ayush Chopra; Feroz Ahmad; S. Indu 001; Santanu Chaudhury (PReMI, 2017)

Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach. - Shubham Dokania; Ayush Chopra; Feroz Ahmad; Om Prakash Verma (CoRR, 2017)

Pose Aware Fine-Grained Visual Classification Using Pose Experts. - Kushagra Mahajan; Tarasha Khurana; Ayush Chopra; Isha Gupta; Chetan Arora 001; Atul Rai (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)

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)

MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. - Anubha Kabra; Ayush Chopra; Nikaash Puri; Pinkesh Badjatiya; Sukriti Verma; Piyush Gupta; Balaji Krishnamurthy (ICDM, 2020)

SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. - Siddhartha Gairola; Mayur Hemani; Ayush Chopra; Balaji Krishnamurthy (IJCAI, 2020)

Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. - Surgan Jandial; Ayush Chopra; Mausoom Sarkar; Piyush Gupta; Balaji Krishnamurthy; Vineeth Balasubramanian (KDD, 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)

TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback. - Surgan Jandial; Ayush Chopra; Pinkesh Badjatiya; Pranit Chawla; Mausoom Sarkar; Balaji Krishnamurthy (CoRR, 2020)

MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance. - Anubha Kabra; Ayush Chopra; Nikaash Puri; Pinkesh Badjatiya; Sukriti Verma; Piyush Gupta; Balaji Krishnamurthy (CoRR, 2020)

Proximity Sensing for Contact Tracing. - Sheshank Shankar; Ayush Chopra; Rishank Kanaparti; Myungsun Kang; Abhishek Singh 005; Ramesh Raskar (CoRR, 2020)

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. - Abhishek Singh 005; Ayush Chopra; Ethan Garza; Emily Zhang; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (CVPR, 2021)

Leveraging Style and Content Features for Text Conditioned Image Retrieval. - Pranit Chawla; Surgan Jandial; Pinkesh Badjatiya; Ayush Chopra; Mausoom Sarkar; Balaji Krishnamurthy (CVPR Workshops, 2021)

Ecosystem approach to sustainable aquaculture for smallholder farmers. - Nataraj Kuntagod; Sanjay Podder; Rambhau Eknath Rote; Satya Sai Srinivas Abbabathula; Neelkanth Mishra; Ayush Chopra (GHTC, 2021)

ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. - Ayush Chopra; Rishabh Jain; Mayur Hemani; Balaji Krishnamurthy (ICCV, 2021)

DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. - Ayush Chopra; Ramesh Raskar; Jayakumar Subramanian; Balaji Krishnamurthy; Esma Senturk Gel; Santiago Romero-Brufau; Kalyan S. Pasupathy; Thomas C. Kingsley (WSC, 2021)

COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. - Rohan Sukumaran; Parth Patwa; T. V. Sethuraman; Sheshank Shankar; Rishank Kanaparti; Joseph Bae; Yash Mathur; Abhishek Singh 005; Ayush Chopra; Myungsun Kang; Priya Ramaswamy; Ramesh Raskar (CoRR, 2021)

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks. - Ayush Chopra; Esma Senturk Gel; Jayakumar Subramanian; Balaji Krishnamurthy; Santiago Romero-Brufau; Kalyan S. Pasupathy; Thomas C. Kingsley; Ramesh Raskar (CoRR, 2021)

AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. - Ayush Chopra; Surya Kant Sahu; Abhishek Singh 005; Abhinav Java; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (CoRR, 2021)

Learning to Censor by Noisy Sampling. - Ayush Chopra; Abhinav Java; Abhishek Singh 005; Vivek Sharma 001; Ramesh Raskar (ECCV (13), 2022)

Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. - Abhishek Singh 005; Ethan Garza; Ayush Chopra; Praneeth Vepakomma; Vivek Sharma 001; Ramesh Raskar (ECCV (13), 2022)

SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. - Surgan Jandial; Pinkesh Badjatiya; Pranit Chawla; Ayush Chopra; Mausoom Sarkar; Balaji Krishnamurthy (WACV, 2022)

On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models. - Vedant Singh; Surgan Jandial; Ayush Chopra; Siddharth Ramesh; Balaji Krishnamurthy; Vineeth N. Balasubramanian (CoRR, 2022)

Differentiable Agent-based Epidemiology. - Ayush Chopra; Alexander Rodríguez; Jayakumar Subramanian; Balaji Krishnamurthy; B. Aditya Prakash; Ramesh Raskar (CoRR, 2022)

Differentiable Agent-based Epidemiology. - Ayush Chopra; Alexander Rodríguez; Jayakumar Subramanian; Arnau Quera-Bofarull; Balaji Krishnamurthy; B. Aditya Prakash; Ramesh Raskar (AAMAS, 2023)

Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation. - Arnau Quera-Bofarull; Ayush Chopra; Joseph Aylett-Bullock; Carolina Cuesta-Lázaro; Anisoara Calinescu; Ramesh Raskar; Michael J. Wooldridge (AAMAS, 2023)

Gradient-Assisted Calibration for Financial Agent-Based Models. - Joel Dyer; Arnau Quera-Bofarull; Ayush Chopra; J. Doyne Farmer; Anisoara Calinescu; Michael J. Wooldridge (ICAIF, 2023)

Bayesian calibration of differentiable agent-based models. - Arnau Quera-Bofarull; Ayush Chopra; Anisoara Calinescu; Michael J. Wooldridge; Joel Dyer (CoRR, 2023)

SARC: Soft Actor Retrospective Critic. - Sukriti Verma; Ayush Chopra; Jayakumar Subramanian; Mausoom Sarkar; Nikaash Puri; Piyush Gupta; Balaji Krishnamurthy (CoRR, 2023)

Private Agent-Based Modeling. - Ayush Chopra; Arnau Quera-Bofarull; Nurullah Giray Kuru; Michael J. Wooldridge; Ramesh Raskar (AAMAS, 2024)

flame: A Framework for Learning in Agent-based ModEls. - Ayush Chopra; Jayakumar Subramanian; Balaji Krishnamurthy; Ramesh Raskar (AAMAS, 2024)

First 100 days of Pandemic: An Interplay of Pharmaceutical, Behavioral and Digital Interventions - A Study using Agent Based Modeling. - Gauri Gupta; Ritvik Kapila; Ayush Chopra; Ramesh Raskar (AAMAS, 2024)

A High-Resolution, US-scale Digital Similar of Interacting Livestock, Wild Birds, and Human Ecosystems with Applications to Multi-host Epidemic Spread. - Abhijin Adiga; Ayush Chopra; Mandy L. Wilson; S. S. Ravi; Dawen Xie; Samarth Swarup; Bryan Lewis 001; Ramesh Raskar; Madhav V. Marathe (CoRR, 2024)

On the Limits of Agency in Agent-based Models. - Ayush Chopra; Shashank Kumar; Nurullah Giray Kuru; Ramesh Raskar; Arnau Quera-Bofarull (AAMAS, 2025)

Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents? - Ramesh Raskar; Pradyumna Chari; Jared James Grogan; Mahesh Lambe; Robert Lincourt; Raghu Bala; Abhishek Singh 005; Ayush Chopra; Rajesh Ranjan; Shailja Gupta; Dimitris Stripelis; Maria Gorskikh; et al. (CoRR, 2025)

Large Population Models. - Ayush Chopra (CoRR, 2025)

Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts. - Ramesh Raskar; Pradyumna Chari; John Zinky; Mahesh Lambe; Jared James Grogan; Sichao Wang; Rajesh Ranjan; Rekha Singhal; Shailja Gupta; Robert Lincourt; Raghu Bala; Aditi Joshi; et al. (CoRR, 2025)