Chinmay Hegde

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 144

Top Venues

Publications

Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing. CoRR (2024)
Sudipta Banerjee, Sai Pranaswi Mullangi, Shruti Wagle, Chinmay Hegde, Nasir D. Memon
Mitigating the Impact of Attribute Editing on Face Recognition. CoRR (2024)
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
LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR (2024)
Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. CoRR (2024)
Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde
Circumventing Concept Erasure Methods For Text-To-Image Generative Models. ICLR (2024)
Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML (2024)
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
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. CoRR (2024)
Govind Mittal, Arthur Jakobsson, Kelly O. Marshall, Chinmay Hegde, Nasir D. Memon
AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response. CoRR (2024)
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
Neural PDE Solvers for Irregular Domains. Comput. Aided Des. 172 (2024)
Benjamin Feuer, Yurong Liu, Chinmay Hegde, Juliana Freire
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models. Proc. VLDB Endow. 17 (9) (2024)
Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR (2024)
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
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. CoRR (2024)
Aarshvi Gajjar, Wai Ming Tai, Xingyu Xu, Chinmay Hegde, Christopher Musco, Yi Li
Agnostic Active Learning of Single Index Models with Linear Sample Complexity. CoRR (2024)
Aarshvi Gajjar, Wai Ming Tai, Xingyu Xu, Chinmay Hegde, Christopher Musco, Yi Li
Agnostic Active Learning of Single Index Models with Linear Sample Complexity. COLT (2024)
Minh Pham, Kelly O. Marshall, Chinmay Hegde, Niv Cohen
Robust Concept Erasure Using Task Vectors. CoRR (2024)
Benjamin Feuer, Chinmay Hegde
Exploring Dataset-Scale Indicators of Data Quality. CoRR (2023)
Aarshvi Gajjar, Christopher Musco, Chinmay Hegde
Active Learning for Single Neuron Models with Lipschitz Non-Linearities. AISTATS (2023)
Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. CoRR (2023)
Md Zahid Hasan, Jiajing Chen, Jiyang Wang, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR (2023)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Regularization for Group Sparsity. CoRR (2023)
Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon
Identity-Preserving Aging of Face Images via Latent Diffusion Models. IJCB (2023)
Benjamin Feuer, Yurong Liu, Chinmay Hegde, Juliana Freire
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models. CoRR (2023)
Anushrut Jignasu, Kelly O. Marshall, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension. CoRR (2023)
Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. CoRR (2023)
Minh Pham, Kelly O. Marshall, Chinmay Hegde
Circumventing Concept Erasure Methods For Text-to-Image Generative Models. CoRR (2023)
Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde
Distributionally Robust Classification on a Data Budget. CoRR (2023)
Benjamin Feuer, Chinmay Hegde, Niv Cohen
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks. CoRR (2023)
Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
PriViT: Vision Transformers for Fast Private Inference. CoRR (2023)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Regularization for Group Sparsity. ICLR (2023)
Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon
Identity-Preserving Aging of Face Images via Latent Diffusion Models. CoRR (2023)
Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde
On The Computational Complexity of Self-Attention. ALT (2023)
Andre Nakkab, Benjamin Feuer, Chinmay Hegde
LiT Tuned Models for Efficient Species Detection. CoRR (2023)
Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde
Distributionally Robust Classification on a Data Budget. Trans. Mach. Learn. Res. 2023 (2023)
Sam Earle, Ozlem Yildiz, Julian Togelius, Chinmay Hegde
Pathfinding Neural Cellular Automata. CoRR (2023)
Feyza Duman Keles, Chinmay Hegde
On the Fine-Grained Hardness of Inverting Generative Models. CoRR (2023)
Aarshvi Gajjar, Chinmay Hegde, Christopher Musco
Active Learning for Single Neuron Models with Lipschitz Non-Linearities. CoRR (2022)
Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. 235 (2022)
Benjamin Feuer, Ameya Joshi, Chinmay Hegde
Caption supervision enables robust learners. CoRR (2022)
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy
NURBS-Diff: A Differentiable Programming Module for NURBS. Comput. Aided Des. 146 (2022)
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20 (5) (2022)
Benjamin Feuer, Ameya Joshi, Chinmay Hegde
A Meta-Analysis of Distributionally-Robust Models. CoRR (2022)
Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde
Revisiting Self-Distillation. CoRR (2022)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Inverse Imaging with Generative Priors Via Langevin Dynamics. ICASSP (2022)
Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
Selective Network Linearization for Efficient Private Inference. CoRR (2022)
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI (2022)
Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
Distributed Online Non-convex Optimization with Composite Regret. CoRR (2022)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Provable Compressed Sensing With Generative Priors via Langevin Dynamics. IEEE Trans. Inf. Theory 68 (11) (2022)
Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
Distributed Online Non-convex Optimization with Composite Regret. Allerton (2022)
Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR (2022)
Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Selective Network Linearization for Efficient Private Inference. ICML (2022)
Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde
On The Computational Complexity of Self-Attention. CoRR (2022)
Govind Mittal, Jiraphon Yenphraphai, Chinmay Hegde, Nasir D. Memon
Gotcha: A Challenge-Response System for Real-Time Deepfake Detection. CoRR (2022)
Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Neural PDE Solvers for Irregular Domains. CoRR (2022)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. NeurIPS (2021)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. CoRR (2021)
Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models. CoRR (2021)
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian
Distributed multigrid neural solvers on megavoxel domains. SC (2021)
Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar
Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. 1 (3) (2021)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Ka Wai Wong
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. NeurIPS (2021)
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP (2021)
Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs. CoRR (2021)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Provable Compressed Sensing with Generative Priors via Langevin Dynamics. CoRR (2021)
Ameya Joshi, Gauri Jagatap, Chinmay Hegde
Adversarial Token Attacks on Vision Transformers. CoRR (2021)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. IEEE Trans. Inf. Theory 67 (7) (2021)
Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4 (2021)
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR (2021)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. CoRR (2021)
Viraj Shah, Chinmay Hegde
Sparse signal recovery from modulo observations. EURASIP J. Adv. Signal Process. 2021 (1) (2021)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. 4 (2021)
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR (2021)
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR (2021)
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Distributed Multigrid Neural Solvers on Megavoxel Domains. CoRR (2021)
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML (2021)
Gauri Jagatap, Zhengyu Chen, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani
Sample Efficient Fourier Ptychography for Structured Data. IEEE Trans. Computational Imaging 6 (2020)
M. Salman Asif, Chinmay Hegde
The Benefits of Side Information for Structured Phase Retrieval. EUSIPCO (2020)
Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. CoRR (2020)
Minsu Cho, Ameya Joshi, Chinmay Hegde
ESPN: Extremely Sparse Pruned Networks. CoRR (2020)
Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. AAAI (2020)
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. CoRR (2020)
Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
Adversarially Robust Learning via Entropic Regularization. CoRR (2020)
Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI (2020)
Gauri Jagatap, Chinmay Hegde
High Dynamic Range Imaging Using Deep Image Priors. ICASSP (2020)
Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. MLHPC/AI4S@SC (2020)
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR (2020)
Minsu Cho, Chinmay Hegde
Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity. ICASSP (2019)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. CoRR (2019)
Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. CoRR (2019)
Viraj Shah, Chinmay Hegde
Signal Reconstruction From Modulo Observations. GlobalSIP (2019)
Gauri Jagatap, Chinmay Hegde
Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements. IEEE Trans. Inf. Theory 65 (7) (2019)
Minsu Cho, Chinmay Hegde
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity. CoRR (2019)
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
One-Shot Neural Architecture Search via Compressive Sensing. CoRR (2019)
Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. ICASSP (2019)
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. ICCV (2019)
Gauri Jagatap, Chinmay Hegde
Linearly Convergent Algorithms for Learning Shallow Residual Networks. ISIT (2019)
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. CoRR (2019)
Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. CVPR Workshops (2019)
Rakib Hyder, Chinmay Hegde, M. Salman Asif
Fourier Phase Retrieval with Side Information Using Generative Prior. ACSSC (2019)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
On the Dynamics of Gradient Descent for Autoencoders. AISTATS (2019)
Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Encoding Invariances in Deep Generative Models. CoRR (2019)
Mohammadreza Soltani, Chinmay Hegde
Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks. IEEE Trans. Signal Process. 67 (13) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chinmay Hegde