Ayush Chopra - RankMe

55 papers A* 5A 9B 1C 1Misc 1Journal 28Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Alignment Faking - the Train -> Deploy Asymmetry: Through a Game-Theoretic Lens with Bayesian-Stackelberg Equilibria. CoRR Kartik Garg, Shourya Mishra, Kartikeya Sinha, Ojaswi Pratap Singh, Ayush Chopra, Kanishk Rai, Ammar Sheikh, Raghav Maheshwari, Aman Chadha, Vinija Jain, Amitava Das
2025	J	`jnl`	Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts. CoRR 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, Abhishek Singh, Ayush Chopra, Dimitris Stripelis, Bhuwan B, Sumit Kumar, Maria Gorskikh
2025	J	`jnl`	Large Population Models. CoRR Ayush Chopra
2025	A	`conf`	On the Limits of Agency in Agent-based Models. AAMAS Ayush Chopra, Shashank Kumar, Nurullah Giray Kuru, Ramesh Raskar, Arnau Quera-Bofarull
2025	J	`jnl`	Ripple Effect Protocol: Coordinating Agent Populations. CoRR Ayush Chopra, Aman Sharma, Feroz Ahmad, Luca Muscariello, Vijoy Pandey, Ramesh Raskar
2025	J	`jnl`	The Iceberg Index: Measuring Workforce Exposure Across the AI Economy. CoRR Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador, Ayan Paul, Teddy Wright, Aditi Garg, Feroz Ahmad, Alice C. Schwarze, Ramesh Raskar, Prasanna Balaprakash
2025	J	`jnl`	Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents? CoRR Ramesh Raskar, Pradyumna Chari, Jared James Grogan, Mahesh Lambe, Robert Lincourt, Raghu Bala, Abhishek Singh, Ayush Chopra, Rajesh Ranjan, Shailja Gupta, Dimitris Stripelis, Maria Gorskikh, Sichao Wang
2025	—	`conf`	Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents? TPS-ISA Ramesh Raskar, Pradyumna Chari, Mahesh Lambe, Robert Lincourt, Raghu Bala, Aditi Joshi, Jared James Grogan, Abhishek Singh, Ayush Chopra, Rajesh Ranjan, Shailja Gupta, Dimitris Stripelis, Maria Gorskikh, Sichao Wang
2024	J	`jnl`	A High-Resolution, US-scale Digital Similar of Interacting Livestock, Wild Birds, and Human Ecosystems with Applications to Multi-host Epidemic Spread. CoRR Abhijin Adiga, Ayush Chopra, Mandy L. Wilson, S. S. Ravi, Dawen Xie, Samarth Swarup, Bryan Lewis, Ramesh Raskar, Madhav V. Marathe
2024	A	`conf`	First 100 days of Pandemic: An Interplay of Pharmaceutical, Behavioral and Digital Interventions - A Study using Agent Based Modeling. AAMAS Gauri Gupta, Ritvik Kapila, Ayush Chopra, Ramesh Raskar
2024	J	`jnl`	First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions - A study using agent based modeling. CoRR Gauri Gupta, Ritvik Kapila, Ayush Chopra, Ramesh Raskar
2024	J	`jnl`	On the limits of agency in agent-based models. CoRR Ayush Chopra, Shashank Kumar, Nurullah Giray Kuru, Ramesh Raskar, Arnau Quera-Bofarull
2024	A	`conf`	Private Agent-Based Modeling. AAMAS Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray Kuru, Michael J. Wooldridge, Ramesh Raskar
2024	J	`jnl`	Private Agent-Based Modeling. CoRR Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray Kuru, Michael J. Wooldridge, Ramesh Raskar
2024	A	`conf`	flame: A Framework for Learning in Agent-based ModEls. AAMAS Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar
2023	J	`jnl`	Bayesian calibration of differentiable agent-based models. CoRR Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu, Michael J. Wooldridge, Joel Dyer
2023	A	`conf`	Differentiable Agent-based Epidemiology. AAMAS Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
2023	A	`conf`	Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation. AAMAS Arnau Quera-Bofarull, Ayush Chopra, Joseph Aylett-Bullock, Carolina Cuesta-Lázaro, Anisoara Calinescu, Ramesh Raskar, Michael J. Wooldridge
2023	—	`conf`	Gradient-Assisted Calibration for Financial Agent-Based Models. ICAIF Joel Dyer, Arnau Quera-Bofarull, Ayush Chopra, J. Doyne Farmer, Anisoara Calinescu, Michael J. Wooldridge
2023	J	`jnl`	SARC: Soft Actor Retrospective Critic. CoRR Sukriti Verma, Ayush Chopra, Jayakumar Subramanian, Mausoom Sarkar, Nikaash Puri, Piyush Gupta, Balaji Krishnamurthy
2022	—	`conf`	Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. ECCV (13) Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Decouple-and-Sample: Protecting sensitive information in task agnostic data release. CoRR Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Differentiable Agent-based Epidemiology. CoRR Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
2022	—	`conf`	Learning to Censor by Noisy Sampling. ECCV (13) Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	Learning to Censor by Noisy Sampling. CoRR Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
2022	J	`jnl`	On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models. CoRR Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
2022	A	`conf`	SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. WACV Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
2021	J	`jnl`	AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. CoRR Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2021	J	`jnl`	COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. CoRR 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
2021	A*	`conf`	DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. CVPR Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
2021	Misc	`conf`	DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. WSC Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley
2021	J	`jnl`	DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks. CoRR Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar
2021	—	`conf`	Ecosystem approach to sustainable aquaculture for smallholder farmers. GHTC Nataraj Kuntagod, Sanjay Podder, Rambhau Eknath Rote, Satya Sai Srinivas Abbabathula, Neelkanth Mishra, Ayush Chopra
2021	—	`conf`	Leveraging Style and Content Features for Text Conditioned Image Retrieval. CVPR Workshops Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy
2021	A*	`conf`	ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. ICCV Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy
2021	J	`jnl`	ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. CoRR Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy
2020	J	`jnl`	DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks. CoRR Abhishek Singh, Ayush Chopra, Vivek Sharma, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Ramesh Raskar
2020	A*	`conf`	MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. ICDM Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy
2020	J	`jnl`	MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance. CoRR Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, Balaji Krishnamurthy
2020	J	`jnl`	Proximity Sensing for Contact Tracing. CoRR Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar
2020	A*	`conf`	Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. KDD Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
2020	J	`jnl`	Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks. CoRR Surgan Jandial, Ayush Chopra, Mausoom Sarkar, Piyush Gupta, Balaji Krishnamurthy, Vineeth Balasubramanian
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`	SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. IJCAI Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy
2020	J	`jnl`	SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation. CoRR Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy
2020	J	`jnl`	TRACE: Transform Aggregate and Compose Visiolinguistic Representations for Image Search with Text Feedback. CoRR Surgan Jandial, Ayush Chopra, Pinkesh Badjatiya, Pranit Chawla, Mausoom Sarkar, 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`	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`	Pose Aware Fine-Grained Visual Classification Using Pose Experts. ICIP Kushagra Mahajan, Tarasha Khurana, Ayush Chopra, Isha Gupta, Chetan Arora, Atul Rai
2017	C	`conf`	Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach. IJCCI Shubham Dokania, Ayush Chopra, Feroz Ahmad, Anil Singh Parihar
2017	J	`jnl`	Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach. CoRR Shubham Dokania, Ayush Chopra, Feroz Ahmad, Om Prakash Verma
2017	—	`conf`	Unsupervised Feature Descriptors Based Facial Tracking over Distributed Geospatial Subspaces. PReMI Shubham Dokania, Ayush Chopra, Feroz Ahmad, S. Indu, Santanu Chaudhury