Chinmay Hegde
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
21
Active years
2009–2026
Best venue rank
A*
Where they publish
- MulticonferenceICASSP14 papers
- NationalACSSC6 papers
- A*ICML5 papers
- BISIT5 papers
- A*ICLR4 papers
- A*AAAI4 papers
- A*CVPR3 papers
- AAISTATS3 papers
- A*COLT2 papers
- A*ICCV2 papers
- ASC2 papers
- AAsiaCCS1 paper
- A*WWW1 paper
- AWACV1 paper
- BALT1 paper
- BICIP1 paper
- A*IJCAI1 paper
- A*PODS1 paper
- A*ICALP1 paper
- A*SODA1 paper
- NationalCISS1 paper
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Query Efficient Structured Matrix Learning. | Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Christopher Musco, Cameron Musco, David Persson |
| 2025 | ACSSC | Efficient Methods for Modeling Shift-Varying Operators. | Nebiyou Yismaw, Chinmay Hegde, M. Salman Asif |
| 2025 | ACSSC | Discovering Sparse Recovery Algorithms Using Neural Architecture Search. | Patrick Yubeaton, Sarthak Gupta, M. Salman Asif, Chinmay Hegde |
| 2025 | AsiaCCS | PITCH: AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response. | Govind Mittal, Arthur Jakobsson, Kelly O. Marshall, Chinmay Hegde, Nasir D. Memon |
| 2025 | ICCV | SEAL: Semantic Aware Image Watermarking. | Kasra Arabi, R. Teal Witter, Chinmay Hegde, Niv Cohen |
| 2025 | ICLR | Hidden in the Noise: Two-Stage Robust Watermarking for Images. | Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen |
| 2025 | ICLR | LiveBench: A Challenging, Contamination-Limited LLM Benchmark. | 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 | ICML | WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training. | Benjamin Feuer, Chinmay Hegde |
| 2025 | WWW | WavePulse: Real-time Content Analytics of Radio Livestreams. | Govind Mittal, Sarthak Gupta, Shruti Wagle, Chirag Chopra, Anthony J. DeMattee, Nasir D. Memon, Mustaque Ahamad, Chinmay Hegde |
| 2025 | WACV | Leveraging Vision Language Models for Specialized Agricultural Tasks. | 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 | COLT | Agnostic Active Learning of Single Index Models with Linear Sample Complexity. | Aarshvi Gajjar, Wai Ming Tai, Xingyu Xu, Chinmay Hegde, Christopher Musco, Yi Li |
| 2024 | CVPR | SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. | Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy |
| 2024 | CVPR | DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. | Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar |
| 2024 | ICLR | Circumventing Concept Erasure Methods For Text-To-Image Generative Models. | Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde |
| 2023 | AISTATS | Active Learning for Single Neuron Models with Lipschitz Non-Linearities. | Aarshvi Gajjar, Christopher Musco, Chinmay Hegde |
| 2023 | ALT | On The Computational Complexity of Self-Attention. | Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde |
| 2023 | ICLR | Implicit Regularization for Group Sparsity. | Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong |
| 2022 | AAAI | MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. | Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar |
| 2022 | ICASSP | Inverse Imaging with Generative Priors Via Langevin Dynamics. | Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde |
| 2022 | ICML | Selective Network Linearization for Efficient Private Inference. | Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde |
| 2021 | ICASSP | Decentralized Deep Learning Using Momentum-Accelerated Consensus. | Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar |
| 2021 | ICML | Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. | Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar |
| 2021 | SC | Distributed multigrid neural solvers on megavoxel domains. | Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian |
| 2020 | AAAI | InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. | Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde |
| 2020 | AAAI | Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. | Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar |
| 2020 | ICASSP | High Dynamic Range Imaging Using Deep Image Priors. | Gauri Jagatap, Chinmay Hegde |
| 2020 | SC | Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. | Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian |
| 2019 | ACSSC | Fourier Phase Retrieval with Side Information Using Generative Prior. | Rakib Hyder, Chinmay Hegde, M. Salman Asif |
| 2019 | ACSSC | Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. | Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde |
| 2019 | AISTATS | On the Dynamics of Gradient Descent for Autoencoders. | Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde |
| 2019 | CVPR | Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. | Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde |
| 2019 | ICASSP | Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity. | Minsu Cho, Chinmay Hegde |
| 2019 | ICASSP | Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. | Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif |
| 2019 | ICCV | Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. | Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde |
| 2019 | ISIT | Linearly Convergent Algorithms for Learning Shallow Residual Networks. | Gauri Jagatap, Chinmay Hegde |
| 2018 | AAAI | A Provable Approach for Double-Sparse Coding. | Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde |
| 2018 | AISTATS | Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation. | Mohammadreza Soltani, Chinmay Hegde |
| 2018 | ICASSP | Low Rank Fourier Ptychography. | Zhengyu Chen, Gauri Jagatap, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani |
| 2018 | ICASSP | Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity. | Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani |
| 2018 | ICASSP | Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees. | Viraj Shah, Chinmay Hegde |
| 2018 | ICIP | Model Corrected Low Rank Ptychography. | Gauri Jagatap, Zhengyu Chen, Chinmay Hegde, Namrata Vaswani |
| 2018 | ICML | On Learning Sparsely Used Dictionaries from Incomplete Samples. | Thanh Van Nguyen, Akshay Soni, Chinmay Hegde |
| 2018 | ISIT | Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure. | Gauri Jagatap, Chinmay Hegde |
| 2018 | ISIT | Fast Low-Rank Matrix Estimation for Ill-Conditioned Matrices. | Mohammadreza Soltani, Chinmay Hegde |
| 2017 | ACSSC | Reconstruction from periodic nonlinearities, with applications to HDR imaging. | Viraj Shah, Mohammadreza Soltani, Chinmay Hegde |
| 2017 | ICASSP | Stable recovery of sparse vectors from random sinusoidal feature maps. | Mohammadreza Soltani, Chinmay Hegde |
| 2016 | ACSSC | Demixing sparse signals from nonlinear observations. | Mohammadreza Soltani, Chinmay Hegde |
| 2016 | IJCAI | A Nearly-Linear Time Framework for Graph-Structured Sparsity. | Chinmay Hegde, Piotr Indyk, Ludwig Schmidt |
| 2015 | ICASSP | Seismic feature extraction using steiner tree methods. | Ludwig Schmidt, Chinmay Hegde, Piotr Indyk, Ligang Lu, Xingang Chi, Detlef Hohl |
| 2015 | ICML | A Nearly-Linear Time Framework for Graph-Structured Sparsity. | Chinmay Hegde, Piotr Indyk, Ludwig Schmidt |
| 2015 | PODS | Fast and Near-Optimal Algorithms for Approximating Distributions by Histograms. | Jayadev Acharya, Ilias Diakonikolas, Chinmay Hegde, Jerry Zheng Li, Ludwig Schmidt |
| 2014 | ICALP | Nearly Linear-Time Model-Based Compressive Sensing. | Chinmay Hegde, Piotr Indyk, Ludwig Schmidt |
| 2014 | ICASSP | LIE operators for compressive sensing. | Chinmay Hegde, Aswin C. Sankaranarayanan, Richard G. Baraniuk |
| 2014 | ICASSP | Automatic fault localization using the generalized Earth Mover's distance. | Ludwig Schmidt, Chinmay Hegde, Piotr Indyk, Jonathan Kane, Ligang Lu, Detlef Hohl |
| 2014 | ISIT | A fast approximation algorithm for tree-sparse recovery. | Chinmay Hegde, Piotr Indyk, Ludwig Schmidt |
| 2014 | SODA | Approximation-Tolerant Model-Based Compressive Sensing. | Chinmay Hegde, Piotr Indyk, Ludwig Schmidt |
| 2012 | ISIT | SPIN: Iterative signal recovery on incoherent manifolds. | Chinmay Hegde, Richard G. Baraniuk |
| 2010 | ICASSP | Compressive sensing of a superposition of pulses. | Chinmay Hegde, Richard G. Baraniuk |
| 2010 | ICASSP | Texas Hold 'Em algorithms for distributed compressive sensing. | Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde, Marco F. Duarte, Mark A. Davenport, Richard G. Baraniuk |
| 2009 | CISS | Recovery of compressible signals in unions of subspaces. | Marco F. Duarte, Chinmay Hegde, Volkan Cevher, Richard G. Baraniuk |