Ayush Chopra

According to our database, Ayush Chopra authored at least 38 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, 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

CoRR, 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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

flame: A Framework for Learning in Agent-based ModEls.

Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Private Agent-Based Modeling.

Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray Kuru, Michael J. Wooldridge, Ramesh Raskar

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

SARC: Soft Actor Retrospective Critic.

Sukriti Verma, Ayush Chopra, Jayakumar Subramanian, Mausoom Sarkar, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy

CoRR, 2023

Bayesian calibration of differentiable agent-based models.

Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu, Michael J. Wooldridge, Joel Dyer

CoRR, 2023

Gradient-Assisted Calibration for Financial Agent-Based Models.

Joel Dyer, Arnau Quera-Bofarull, Ayush Chopra, J. Doyne Farmer, Anisoara Calinescu, Michael J. Wooldridge

Proceedings of the 4th ACM International Conference on AI in Finance, 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

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Differentiable Agent-based Epidemiology.

Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Differentiable Agent-based Epidemiology.

Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar

CoRR, 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

SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval.

Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release.

Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Censor by Noisy Sampling.

Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning.

Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, 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

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, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar

CoRR, 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

Proceedings of the Winter Simulation Conference, 2021

ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors.

Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ecosystem approach to sustainable aquaculture for smallholder farmers.

Nataraj Kuntagod, Sanjay Podder, Rambhau Eknath Rote, Satya Sai Srinivas Abbabathula, Neelkanth Mishra, Ayush Chopra

Proceedings of the IEEE Global Humanitarian Technology Conference, 2021

Leveraging Style and Content Features for Text Conditioned Image Retrieval.

Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks.

Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Proximity Sensing for Contact Tracing.

Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar

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

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

Towards a Unified Framework for Visual Compatibility Prediction.

Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On.

Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Abhijeet Kumar, Balaji Krishnamurthy

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks.

Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation.

Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance.

Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Powering Virtual Try-On via Auxiliary Human Segmentation Learning.

Kumar Ayush, Surgan Jandial, Ayush Chopra, Balaji Krishnamurthy

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision 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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Powering Robust Fashion Retrieval With Information Rich Feature Embeddings.

Ayush Chopra, Abhishek Sinha, Hiresh Gupta, Mausoom Sarkar, Kumar Ayush, Balaji Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Pose Aware Fine-Grained Visual Classification Using Pose Experts.

Kushagra Mahajan, Tarasha Khurana, Ayush Chopra, Isha Gupta, Chetan Arora, Atul Rai

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach.

Shubham Dokania, Ayush Chopra, Feroz Ahmad, Om Prakash Verma

CoRR, 2017

Unsupervised Feature Descriptors Based Facial Tracking over Distributed Geospatial Subspaces.

Shubham Dokania, Ayush Chopra, Feroz Ahmad, S. Indu, Santanu Chaudhury

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach.

Shubham Dokania, Ayush Chopra, Feroz Ahmad, Anil Singh Parihar

Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017