Chinmay Hegde - RankMe

232 papers A* 27A 7B 11Misc 19Journal 137Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring the Agentic Frontier of Verilog Code Generation. CoRR Patrick Yubeaton, Siddharth Garg, Chinmay Hegde
2026	J	`jnl`	Multi-Turn Jailbreaking of Aligned LLMs via Lexical Anchor Tree Search. CoRR Devang Kulshreshtha, Hang Su, Chinmay Hegde, Haohan Wang
2025	J	`jnl`	DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models. CoRR Nastaran Saadati, Zhanhong Jiang, Joshua R. Waite, Shreyan Ganguly, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	Decorum: A Language-Based Approach For Style-Conditioned Synthesis of Indoor 3D Scenes. CoRR Kelly O. Marshall, Omid Poursaeed, Sergiu Oprea, Amit Kumar, Anushrut Jignasu, Chinmay Hegde, Yilei Li, Rakesh Ranjan
2025	J	`jnl`	DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation. CoRR Ekta Balkrishna Gavas, Chinmay Hegde, Nasir D. Memon, Sudipta Banerjee
2025	—	`conf`	Discovering Sparse Recovery Algorithms Using Neural Architecture Search. IEEECONF Patrick Yubeaton, Sarthak Gupta, M. Salman Asif, Chinmay Hegde
2025	J	`jnl`	Discovering Sparse Recovery Algorithms Using Neural Architecture Search. CoRR Patrick Yubeaton, Sarthak Gupta, M. Salman Asif, Chinmay Hegde
2025	—	`conf`	Efficient Methods for Modeling Shift-Varying Operators. IEEECONF Nebiyou Yismaw, Chinmay Hegde, M. Salman Asif
2025	J	`jnl`	FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis. CoRR Ekta Balkrishna Gavas, Sudipta Banerjee, Chinmay Hegde, Nasir D. Memon
2025	B	`conf`	FaceCloak: Learning to Protect Face Templates. FG Sudipta Banerjee, Anubhav Jain, Chinmay Hegde, Nasir D. Memon
2025	J	`jnl`	FaceCloak: Learning to Protect Face Templates. CoRR Sudipta Banerjee, Anubhav Jain, Chinmay Hegde, Nasir D. Memon
2025	J	`jnl`	FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. J. Data-centric Mach. Learn. Res. Ronak Tali, Ali Rabeh, Cheng-Hau Yang, Mehdi Shadkhah, Samundra Karki, Abhisek Upadhyaya, Suriya Dhakshinamoorthy, Marjan Saadati, Soumik Sarkar, Adarsh Krishnamurthy, Chinmay Hegde, Aditya Balu, Baskar Ganapathysubramanian
2025	B	`conf`	Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings. IEEE Big Data Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries. CoRR Ali Rabeh, Ethan Herron, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	A*	`conf`	Hidden in the Noise: Two-Stage Robust Watermarking for Images. ICLR Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen
2025	J	`jnl`	Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference. CoRR Patrick Yubeaton, Tareq Mahmoud, Shehab Naga, Pooria Taheri, Tianhua Xia, Arun George, Yasmein Khalil, Sai Qian Zhang, Siddharth Joshi, Chinmay Hegde, Siddharth Garg
2025	A	`conf`	Leveraging Vision Language Models for Specialized Agricultural Tasks. WACV Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy, Rim Nassiri, Asheesh K. Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar
2025	A*	`conf`	LiveBench: A Challenging, Contamination-Limited LLM Benchmark. ICLR Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2025	J	`jnl`	MARVIS: Modality Adaptive Reasoning over VISualizations. CoRR Benjamin Feuer, Lennart Purucker, Oussama Elachqar, Chinmay Hegde
2025	J	`jnl`	MPFBench: A Large Scale Dataset for SciML of Multi-Phase-Flows: Droplet and Bubble Dynamics. J. Data-centric Mach. Learn. Res. Mehdi Shadkhah, Ronak Tali, Ali Rabeh, Cheng-Hau Yang, Ethan Herron, Abhisek Upadhyaya, Adarsh Krishnamurthy, Chinmay Hegde, Aditya Balu, Baskar Ganapathysubramanian
2025	J	`jnl`	OpenThoughts: Data Recipes for Reasoning Models. CoRR Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt
2025	A	`conf`	PITCH: AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response. AsiaCCS Govind Mittal, Arthur Jakobsson, Kelly O. Marshall, Chinmay Hegde, Nasir D. Memon
2025	J	`jnl`	Query Efficient Structured Matrix Learning. CoRR Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Cameron Musco, Christopher Musco, David Persson
2025	—	`conf`	RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. ICCPS Joshua R. Waite, Md. Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. CoRR Joshua R. Waite, Md. Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	SEAL: Semantic Aware Image Watermarking. CoRR Kasra Arabi, R. Teal Witter, Chinmay Hegde, Niv Cohen
2025	J	`jnl`	SolidMark: Evaluating Image Memorization in Generative Models. CoRR Nicky Kriplani, Minh Pham, Gowthami Somepalli, Chinmay Hegde, Niv Cohen
2025	J	`jnl`	TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier Models. CoRR Shivani Chiranjeevi, Hossein Zaremehrjerdi, Zi K. Deng, Talukder Z. Jubery, Ari Grele, Arti Singh, Asheesh Kumar Singh, Soumik Sarkar, Nirav C. Merchant, Harold F. Greeney, Baskar Ganapathysubramanian, Chinmay Hegde
2025	J	`jnl`	Towards Large Reasoning Models for Agriculture. CoRR Hossein Zaremehrjerdi, Shreyan Ganguly, Ashlyn Rairdin, Elizabeth Tranel, Benjamin Feuer, Juan Ignacio Di Salvo, Srikanth Panthulugiri, Hernan Torres Pacin, Victoria Moser, Sarah Jones, Joscif Raigne, Yanben Shen, Heidi M. Dornath, Aditya Balu, Adarsh Krishnamurthy, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification. CoRR Patrick Yubeaton, Andre Nakkab, Weihua Xiao, Luca Collini, Ramesh Karri, Chinmay Hegde, Siddharth Garg
2025	J	`jnl`	WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training. CoRR Benjamin Feuer, Chinmay Hegde
2025	A*	`conf`	WavePulse: Real-time Content Analytics of Radio Livestreams. WWW Govind Mittal, Sarthak Gupta, Shruti Wagle, Chirag Chopra, Anthony J. DeMattee, Nasir D. Memon, Mustaque Ahamad, Chinmay Hegde
2025	J	`jnl`	When Are Concepts Erased From Diffusion Models? CoRR Kevin Lu, Nicky Kriplani, Rohit Gandikota, Minh Pham, David Bau, Chinmay Hegde, Niv Cohen
2025	A*	`conf`	WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training. ICML Benjamin Feuer, Chinmay Hegde
2024	J	`jnl`	AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response. CoRR Govind Mittal, Arthur Jakobsson, Kelly O. Marshall, Chinmay Hegde, Nasir D. Memon
2024	J	`jnl`	AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. CoRR Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy, Rim Nassiri, Asheesh K. Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar
2024	A*	`conf`	Agnostic Active Learning of Single Index Models with Linear Sample Complexity. COLT Aarshvi Gajjar, Wai Ming Tai, Xingyu Xu, Chinmay Hegde, Christopher Musco, Yi Li
2024	J	`jnl`	Agnostic Active Learning of Single Index Models with Linear Sample Complexity. CoRR Aarshvi Gajjar, Wai Ming Tai, Xingyu Xu, Chinmay Hegde, Christopher Musco, Yi Li
2024	J	`jnl`	Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. CoRR Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab, Md. Zahid Hasan, Shivani Chiranjeevi, Kelly O. Marshall, Nirmal Baishnab, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian
2024	J	`jnl`	ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models. Proc. VLDB Endow. Benjamin Feuer, Yurong Liu, Chinmay Hegde, Juliana Freire
2024	A*	`conf`	BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity. NeurIPS Chih-Hsuan Yang, Benjamin Feuer, Talukder Zaki Jubery, Zi K. Deng, Andre Nakkab, Md. Zahid Hasan, Shivani Chiranjeevi, Kelly O. Marshall, Nirmal Baishnab, Asheesh Kumar Singh, Arti Singh, Soumik Sarkar, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian
2024	A*	`conf`	Circumventing Concept Erasure Methods For Text-To-Image Generative Models. ICLR Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde
2024	A*	`conf`	DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CVPR Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems. CoRR Sanjita Prajapati, Tanu Singh, Chinmay Hegde, Pranamesh Chakraborty
2024	—	`conf`	Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
2024	J	`jnl`	FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. CoRR Ronak Tali, Ali Rabeh, Cheng-Hau Yang, Mehdi Shadkhah, Samundra Karki, Abhisek Upadhyaya, Suriya Dhakshinamoorthy, Marjan Saadati, Soumik Sarkar, Adarsh Krishnamurthy, Chinmay Hegde, Aditya Balu, Baskar Ganapathysubramanian
2024	A	`conf`	Gotcha: Real-Time Video Deepfake Detection via Challenge-Response. EuroS&P Govind Mittal, Chinmay Hegde, Nasir D. Memon
2024	J	`jnl`	Hidden in the Noise: Two-Stage Robust Watermarking for Images. CoRR Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen
2024	J	`jnl`	Identity-Aware Facial Age Editing Using Latent Diffusion. IEEE Trans. Biom. Behav. Identity Sci. Sudipta Banerjee, Govind Mittal, Ameya Joshi, Sai Pranaswi Mullangi, Chinmay Hegde, Nasir D. Memon
2024	J	`jnl`	LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2024	B	`conf`	Mitigating the Impact of Attribute Editing on Face Recognition. IJCB Sudipta Banerjee, Sai Pranaswi Mullangi, Shruti Wagle, Chinmay Hegde, Nasir D. Memon
2024	J	`jnl`	Mitigating the Impact of Attribute Editing on Face Recognition. CoRR Sudipta Banerjee, Sai Pranaswi Mullangi, Shruti Wagle, Chinmay Hegde, Nasir D. Memon
2024	J	`jnl`	NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs. Eng. Comput. Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2024	J	`jnl`	Neural PDE Solvers for Irregular Domains. Comput. Aided Des. Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
2024	J	`jnl`	PriViT: Vision Transformers for Private Inference. Trans. Mach. Learn. Res. Naren Dhyani, Jianqiao Cambridge Mo, Patrick Yubeaton, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
2024	J	`jnl`	Robust Concept Erasure Using Task Vectors. CoRR Minh Pham, Kelly O. Marshall, Chinmay Hegde, Niv Cohen
2024	—	`conf`	SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. CVPR Workshops Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
2024	A*	`conf`	SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification. NeurIPS Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde
2024	J	`jnl`	SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification. CoRR Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde
2024	J	`jnl`	STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology. CoRR Anushrut Jignasu, Ethan Herron, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy
2024	A*	`conf`	Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing. NeurIPS Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
2024	J	`jnl`	Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing. CoRR Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
2024	J	`jnl`	TruncFormer: Private LLM Inference Using Only Truncations. CoRR Patrick Yubeaton, Jianqiao Mo, Karthik Garimella, Nandan Kumar Jha, Brandon Reagen, Chinmay Hegde, Siddharth Garg
2024	A*	`conf`	TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. NeurIPS Benjamin Feuer, Robin Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
2024	J	`jnl`	TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. CoRR Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
2024	J	`jnl`	Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. IEEE Trans. Intell. Transp. Syst. Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
2024	J	`jnl`	WavePulse: Real-time Content Analytics of Radio Livestreams. CoRR Govind Mittal, Sarthak Gupta, Shruti Wagle, Chirag Chopra, Anthony J. DeMattee, Nasir D. Memon, Mustaque Ahamad, Chinmay Hegde
2023	A	`conf`	Active Learning for Single Neuron Models with Lipschitz Non-Linearities. AISTATS Aarshvi Gajjar, Christopher Musco, Chinmay Hegde
2023	J	`jnl`	ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models. CoRR Benjamin Feuer, Yurong Liu, Chinmay Hegde, Juliana Freire
2023	J	`jnl`	Circumventing Concept Erasure Methods For Text-to-Image Generative Models. CoRR Minh Pham, Kelly O. Marshall, Chinmay Hegde
2023	J	`jnl`	Distributionally Robust Classification on a Data Budget. CoRR Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde
2023	J	`jnl`	Distributionally Robust Classification on a Data Budget. Trans. Mach. Learn. Res. Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde
2023	J	`jnl`	Exploring Dataset-Scale Indicators of Data Quality. CoRR Benjamin Feuer, Chinmay Hegde
2023	J	`jnl`	Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. CoRR Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar
2023	B	`conf`	Identity-Preserving Aging of Face Images via Latent Diffusion Models. IJCB Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon
2023	J	`jnl`	Identity-Preserving Aging of Face Images via Latent Diffusion Models. CoRR Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon
2023	A*	`conf`	Implicit Regularization for Group Sparsity. ICLR Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2023	J	`jnl`	Implicit Regularization for Group Sparsity. CoRR Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2023	J	`jnl`	LiT Tuned Models for Efficient Species Detection. CoRR Andre Nakkab, Benjamin Feuer, Chinmay Hegde
2023	B	`conf`	On The Computational Complexity of Self-Attention. ALT Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde
2023	J	`jnl`	On the Fine-Grained Hardness of Inverting Generative Models. CoRR Feyza Duman Keles, Chinmay Hegde
2023	J	`jnl`	Pathfinding Neural Cellular Automata. CoRR Sam Earle, Ozlem Yildiz, Julian Togelius, Chinmay Hegde
2023	J	`jnl`	PriViT: Vision Transformers for Fast Private Inference. CoRR Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
2023	J	`jnl`	Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks. CoRR Benjamin Feuer, Chinmay Hegde, Niv Cohen
2023	J	`jnl`	Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension. CoRR Anushrut Jignasu, Kelly O. Marshall, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
2023	J	`jnl`	Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
2023	J	`jnl`	ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. CoRR Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde
2022	J	`jnl`	A Meta-Analysis of Distributionally-Robust Models. CoRR Benjamin Feuer, Ameya Joshi, Chinmay Hegde
2022	J	`jnl`	Active Learning for Single Neuron Models with Lipschitz Non-Linearities. CoRR Aarshvi Gajjar, Chinmay Hegde, Christopher Musco
2022	J	`jnl`	Caption supervision enables robust learners. CoRR Benjamin Feuer, Ameya Joshi, Chinmay Hegde
2022	—	`conf`	Distributed Online Non-convex Optimization with Composite Regret. Allerton Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	Distributed Online Non-convex Optimization with Composite Regret. CoRR Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	Gotcha: A Challenge-Response System for Real-Time Deepfake Detection. CoRR Govind Mittal, Jiraphon Yenphraphai, Chinmay Hegde, Nasir D. Memon
2022	Misc	`conf`	Inverse Imaging with Generative Priors Via Langevin Dynamics. ICASSP Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2022	A*	`conf`	MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	NURBS-Diff: A Differentiable Programming Module for NURBS. Comput. Aided Des. Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy
2022	J	`jnl`	Neural PDE Solvers for Irregular Domains. CoRR Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2022	J	`jnl`	On The Computational Complexity of Self-Attention. CoRR Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde
2022	J	`jnl`	Provable Compressed Sensing With Generative Priors via Langevin Dynamics. IEEE Trans. Inf. Theory Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2022	J	`jnl`	Revisiting Self-Distillation. CoRR Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde
2022	A*	`conf`	Selective Network Linearization for Efficient Private Inference. ICML Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
2022	J	`jnl`	Selective Network Linearization for Efficient Private Inference. CoRR Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
2022	J	`jnl`	Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde
2022	J	`jnl`	Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
2022	J	`jnl`	The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
2021	J	`jnl`	Adversarial Token Attacks on Vision Transformers. CoRR Ameya Joshi, Gauri Jagatap, Chinmay Hegde
2021	J	`jnl`	Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
2021	J	`jnl`	Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. IEEE Trans. Inf. Theory Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2021	A*	`conf`	Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
2021	Misc	`conf`	Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
2021	A*	`conf`	Differentiable Spline Approximations. NeurIPS Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
2021	J	`jnl`	Differentiable Spline Approximations. CoRR Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
2021	J	`jnl`	Distributed Multigrid Neural Solvers on Megavoxel Domains. CoRR Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2021	A	`conf`	Distributed multigrid neural solvers on megavoxel domains. SC Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian
2021	J	`jnl`	Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar
2021	A*	`conf`	Implicit Sparse Regularization: The Impact of Depth and Early Stopping. NeurIPS Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Ka Wai Wong
2021	J	`jnl`	Implicit Sparse Regularization: The Impact of Depth and Early Stopping. CoRR Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2021	J	`jnl`	MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs. CoRR Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2021	J	`jnl`	On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Provable Compressed Sensing with Generative Priors via Langevin Dynamics. CoRR Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2021	J	`jnl`	Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models. CoRR Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde
2021	J	`jnl`	Sparse signal recovery from modulo observations. EURASIP J. Adv. Signal Process. Viraj Shah, Chinmay Hegde
2021	J	`jnl`	Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
2020	J	`jnl`	Adversarially Robust Learning via Entropic Regularization. CoRR Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
2020	J	`jnl`	Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
2020	—	`conf`	Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. MLHPC/AI4S@SC Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
2020	J	`jnl`	Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. CoRR Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
2020	J	`jnl`	ESPN: Extremely Sparse Pruned Networks. CoRR Minsu Cho, Ameya Joshi, Chinmay Hegde
2020	Misc	`conf`	High Dynamic Range Imaging Using Deep Image Priors. ICASSP Gauri Jagatap, Chinmay Hegde
2020	J	`jnl`	Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. CoRR Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
2020	A*	`conf`	InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2020	J	`jnl`	Sample Efficient Fourier Ptychography for Structured Data. IEEE Trans. Computational Imaging Gauri Jagatap, Zhengyu Chen, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani
2020	A*	`conf`	Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. AAAI Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
2020	—	`conf`	The Benefits of Side Information for Structured Phase Retrieval. EUSIPCO M. Salman Asif, Chinmay Hegde
2019	J	`jnl`	A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations. CoRR Chinmay Hegde, Fritz Keinert, Eric S. Weber
2019	A*	`conf`	Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. NeurIPS Gauri Jagatap, Chinmay Hegde
2019	J	`jnl`	Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. CoRR Gauri Jagatap, Chinmay Hegde
2019	Misc	`conf`	Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. ICASSP Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif
2019	J	`jnl`	Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. CoRR Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif
2019	—	`conf`	Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. CVPR Workshops Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
2019	J	`jnl`	Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. CoRR Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2019	J	`jnl`	Encoding Invariances in Deep Generative Models. CoRR Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2019	J	`jnl`	Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks. IEEE Trans. Signal Process. Mohammadreza Soltani, Chinmay Hegde
2019	Misc	`conf`	Fourier Phase Retrieval with Side Information Using Generative Prior. ACSSC Rakib Hyder, Chinmay Hegde, M. Salman Asif
2019	Misc	`conf`	Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. ACSSC Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde
2019	B	`conf`	Linearly Convergent Algorithms for Learning Shallow Residual Networks. ISIT Gauri Jagatap, Chinmay Hegde
2019	J	`jnl`	On Higher-order Moments in Adam. CoRR Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2019	A	`conf`	On the Dynamics of Gradient Descent for Autoencoders. AISTATS Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2019	J	`jnl`	One-Shot Neural Architecture Search via Compressive Sensing. CoRR Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
2019	J	`jnl`	Provably Accurate Double-Sparse Coding. J. Mach. Learn. Res. Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2019	J	`jnl`	Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity. CoRR Minsu Cho, Chinmay Hegde
2019	Misc	`conf`	Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity. ICASSP Minsu Cho, Chinmay Hegde
2019	J	`jnl`	Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements. IEEE Trans. Inf. Theory Gauri Jagatap, Chinmay Hegde
2019	A*	`conf`	Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. ICCV Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
2019	J	`jnl`	Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. CoRR Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
2019	—	`conf`	Signal Reconstruction From Modulo Observations. GlobalSIP Viraj Shah, Chinmay Hegde
2019	J	`jnl`	Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. CoRR Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
2018	A*	`conf`	A Provable Approach for Double-Sparse Coding. AAAI Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2018	—	`conf`	Algorithmic Aspects of Inverse Problems Using Generative Models. Allerton Chinmay Hegde
2018	J	`jnl`	Algorithmic Aspects of Inverse Problems Using Generative Models. CoRR Chinmay Hegde
2018	J	`jnl`	Autoencoders Learn Generative Linear Models. CoRR Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2018	B	`conf`	Fast Low-Rank Matrix Estimation for Ill-Conditioned Matrices. ISIT Mohammadreza Soltani, Chinmay Hegde
2018	—	`conf`	Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach. ITSC Pranamesh Chakraborty, Anuj Sharma, Chinmay Hegde
2018	J	`jnl`	Learning ReLU Networks via Alternating Minimization. CoRR Gauri Jagatap, Chinmay Hegde
2018	Misc	`conf`	Low Rank Fourier Ptychography. ICASSP Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani
2018	B	`conf`	Model Corrected Low Rank Ptychography. ICIP Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani
2018	J	`jnl`	On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2018	A*	`conf`	On Learning Sparsely Used Dictionaries from Incomplete Samples. ICML Thanh Van Nguyen, Akshay Soni, Chinmay Hegde
2018	J	`jnl`	On Learning Sparsely Used Dictionaries from Incomplete Samples. CoRR Thanh Van Nguyen, Akshay Soni, Chinmay Hegde
2018	—	`conf`	Phase Retrieval for Signals in Union of Subspaces. GlobalSIP M. Salman Asif, Chinmay Hegde
2018	J	`jnl`	Phase Retrieval for Signals in Union of Subspaces. CoRR M. Salman Asif, Chinmay Hegde
2018	J	`jnl`	Physics-aware Deep Generative Models for Creating Synthetic Microstructures. CoRR Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2018	J	`jnl`	Signal Reconstruction from Modulo Observations. CoRR Viraj Shah, Chinmay Hegde
2018	J	`jnl`	Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees. CoRR Viraj Shah, Chinmay Hegde
2018	Misc	`conf`	Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees. ICASSP Viraj Shah, Chinmay Hegde
2018	Misc	`conf`	Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity. ICASSP Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani
2018	A	`conf`	Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation. AISTATS Mohammadreza Soltani, Chinmay Hegde
2018	B	`conf`	Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure. ISIT Gauri Jagatap, Chinmay Hegde
2017	J	`jnl`	A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. CoRR Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar
2017	J	`jnl`	A Provable Approach for Double-Sparse Coding. CoRR Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2017	—	`conf`	Collaborative Deep Learning in Fixed Topology Networks. NIPS Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	J	`jnl`	Collaborative Deep Learning in Fixed Topology Networks. CoRR Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	—	`conf`	Demixing structured superposition signals from periodic and aperiodic nonlinear observations. GlobalSIP Mohammadreza Soltani, Chinmay Hegde
2017	J	`jnl`	Fast Algorithms for Demixing Sparse Signals From Nonlinear Observations. IEEE Trans. Signal Process. Mohammadreza Soltani, Chinmay Hegde
2017	—	`conf`	Fast, Sample-Efficient Algorithms for Structured Phase Retrieval. NIPS Gauri Jagatap, Chinmay Hegde
2017	—	`conf`	Parallel computing heuristics for low-rank matrix completion. GlobalSIP Charlie Hubbard, Chinmay Hegde
2017	J	`jnl`	Phase Retrieval Using Structured Sparsity: A Sample Efficient Algorithmic Framework. CoRR Gauri Jagatap, Chinmay Hegde
2017	Misc	`conf`	Reconstruction from periodic nonlinearities, with applications to HDR imaging. ACSSC Viraj Shah, Mohammadreza Soltani, Chinmay Hegde
2017	Misc	`conf`	Stable recovery of sparse vectors from random sinusoidal feature maps. ICASSP Mohammadreza Soltani, Chinmay Hegde
2016	A*	`conf`	A Nearly-Linear Time Framework for Graph-Structured Sparsity. IJCAI Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2016	—	`conf`	A fast algorithm for demixing signals with structured sparsity. SPCOM Chinmay Hegde
2016	—	`conf`	A fast iterative algorithm for demixing sparse signals from nonlinear observations. GlobalSIP Mohammadreza Soltani, Chinmay Hegde
2016	—	`conf`	Bilevel feature selection in nearly-linear time. SSP Chinmay Hegde
2016	Misc	`conf`	Demixing sparse signals from nonlinear observations. ACSSC Mohammadreza Soltani, Chinmay Hegde
2016	—	`conf`	Fast recovery from a union of subspaces. NIPS Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2015	A*	`conf`	A Nearly-Linear Time Framework for Graph-Structured Sparsity. ICML Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2015	J	`jnl`	Approximation Algorithms for Model-Based Compressive Sensing. IEEE Trans. Inf. Theory Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2015	J	`jnl`	Efficient Upsampling of Natural Images. CoRR Chinmay Hegde, Oncel Tuzel, Fatih Porikli
2015	J	`jnl`	Fast Algorithms for Structured Sparsity. Bull. EATCS Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2015	A*	`conf`	Fast and Near-Optimal Algorithms for Approximating Distributions by Histograms. PODS Jayadev Acharya, Ilias Diakonikolas, Chinmay Hegde, Jerry Zheng Li, Ludwig Schmidt
2015	J	`jnl`	NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings. IEEE Trans. Signal Process. Chinmay Hegde, Aswin C. Sankaranarayanan, Wotao Yin, Richard G. Baraniuk
2015	Misc	`conf`	Seismic feature extraction using steiner tree methods. ICASSP Ludwig Schmidt, Chinmay Hegde, Piotr Indyk, Ligang Lu, Xingang Chi, Detlef Hohl
2014	B	`conf`	A fast approximation algorithm for tree-sparse recovery. ISIT Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2014	J	`jnl`	Approximation Algorithms for Model-Based Compressive Sensing. CoRR Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2014	A*	`conf`	Approximation-Tolerant Model-Based Compressive Sensing. SODA Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2014	Misc	`conf`	Automatic fault localization using the generalized Earth Mover's distance. ICASSP Ludwig Schmidt, Chinmay Hegde, Piotr Indyk, Jonathan Kane, Ligang Lu, Detlef Hohl
2014	Misc	`conf`	LIE operators for compressive sensing. ICASSP Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk
2014	—	`conf`	Nearly Linear-Time Model-Based Compressive Sensing. ICALP (1) Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
2013	—	`conf`	Nearly optimal linear embeddings into very low dimensions. GlobalSIP Elyot Grant, Chinmay Hegde, Piotr Indyk
2012	—	`conf`	Multi-objective sensor-based replanning for a car-like robot. SSRR Devin K. Grady, Mark Moll, Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, Lydia E. Kavraki
2012	—	`conf`	Multi-robot target verification with reachability constraints. SSRR Devin K. Grady, Mark Moll, Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk, Lydia E. Kavraki
2012	—	`conf`	Near-isometric linear embeddings of manifolds. SSP Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk
2012	B	`conf`	SPIN: Iterative signal recovery on incoherent manifolds. ISIT Chinmay Hegde, Richard G. Baraniuk
2012	J	`jnl`	Signal Recovery on Incoherent Manifolds CoRR Chinmay Hegde, Richard G. Baraniuk
2012	J	`jnl`	Signal Recovery on Incoherent Manifolds. IEEE Trans. Inf. Theory Chinmay Hegde, Richard G. Baraniuk
2011	—	`conf`	Go with the flow: Optical flow-based transport operators for image manifolds. Allerton Aswin C. Sankaranarayanan, Chinmay Hegde, Sriram Nagaraj, Richard G. Baraniuk
2011	J	`jnl`	Sampling and Recovery of Pulse Streams. IEEE Trans. Signal Process. Chinmay Hegde, Richard G. Baraniuk
2010	Misc	`conf`	Compressive sensing of a superposition of pulses. ICASSP Chinmay Hegde, Richard G. Baraniuk
2010	—	`conf`	High Dimensional Data Fusion via Joint Manifold Learning. AAAI Fall Symposium: Manifold Learning and Its Applications Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk
2010	J	`jnl`	Joint Manifolds for Data Fusion. IEEE Trans. Image Process. Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk
2010	J	`jnl`	Model-based compressive sensing. IEEE Trans. Inf. Theory Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, Chinmay Hegde
2010	J	`jnl`	Sampling and Recovery of Pulse Streams CoRR Chinmay Hegde, Richard G. Baraniuk
2010	Misc	`conf`	Texas Hold 'Em algorithms for distributed compressive sensing. ICASSP Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde, Marco F. Duarte, Mark A. Davenport, Richard G. Baraniuk
2009	J	`jnl`	A Theoretical Analysis of Joint Manifolds CoRR Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk
2009	—	`conf`	Compressive sensing of streams of pulses. Allerton Chinmay Hegde, Richard G. Baraniuk
2009	Misc	`conf`	Recovery of compressible signals in unions of subspaces. CISS Marco F. Duarte, Chinmay Hegde, Volkan Cevher, Richard G. Baraniuk
2008	J	`jnl`	Model-Based Compressive Sensing CoRR Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, Chinmay Hegde
2008	—	`conf`	Sparse Signal Recovery Using Markov Random Fields. NIPS Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Richard G. Baraniuk
2007	—	`conf`	Random Projections for Manifold Learning. NIPS Chinmay Hegde, Michael B. Wakin, Richard G. Baraniuk