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2020 – today
- 2024
[j26]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: 103709 (2024)- [j25]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. Eng. Comput. 40(5): 2761-2783 (2024) - [j24]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): 2279-2292 (2024) - [j23]Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar:
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. IEEE Trans. Intell. Transp. Syst. 25(9): 11602-11616 (2024) - [c80]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: 1715-1754 - [c79]Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy:
SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. CVPR Workshops 2024: 5271-5279 - [c78]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. CVPR 2024: 27507-27517 - [c77]Govind Mittal, Chinmay Hegde, Nasir D. Memon:
Gotcha: Real-Time Video Deepfake Detection via Challenge-Response. EuroS&P 2024: 1-20 - [c76]Sudipta Banerjee, Sai Pranaswi Mullangi, Shruti Wagle, Chinmay Hegde, Nasir D. Memon:
Mitigating the Impact of Attribute Editing on Face Recognition. IJCB 2024: 1-10 - [c75]Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde:
Circumventing Concept Erasure Methods For Text-To-Image Generative Models. ICLR 2024 - [c74]Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde:
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML 2024: 252-271 - [i82]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 abs/2402.11137 (2024) - [i81]Govind Mittal, Arthur Jakobsson, Kelly O. Marshall, Chinmay Hegde, Nasir D. Memon:
AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response. CoRR abs/2402.18085 (2024) - [i80]Sudipta Banerjee, Sai Pranaswi Mullangi, Shruti Wagle, Chinmay Hegde, Nasir D. Memon:
Mitigating the Impact of Attribute Editing on Face Recognition. CoRR abs/2403.08092 (2024) - [i79]Minh Pham, Kelly O. Marshall, Chinmay Hegde, Niv Cohen:
Robust Concept Erasure Using Task Vectors. CoRR abs/2404.03631 (2024) - [i78]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 abs/2404.08079 (2024) - [i77]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 abs/2405.09312 (2024) - [i76]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 abs/2406.17720 (2024) - [i75]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 abs/2406.19314 (2024) - [i74]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 abs/2407.04180 (2024) - [i73]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 abs/2407.19617 (2024) - [i72]Sanjita Prajapati, Tanu Singh, Chinmay Hegde, Pranamesh Chakraborty:
Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems. CoRR abs/2409.02278 (2024) - [i71]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:
FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. CoRR abs/2409.18032 (2024) - [i70]Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde:
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification. CoRR abs/2410.05057 (2024) - 2023
- [j22]Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde:
Distributionally Robust Classification on a Data Budget. Trans. Mach. Learn. Res. 2023 (2023) - [c73]Aarshvi Gajjar, Christopher Musco, Chinmay Hegde:
Active Learning for Single Neuron Models with Lipschitz Non-Linearities. AISTATS 2023: 4101-4113 - [c72]Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde:
On The Computational Complexity of Self-Attention. ALT 2023: 597-619 - [c71]Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon:
Identity-Preserving Aging of Face Images via Latent Diffusion Models. IJCB 2023: 1-10 - [c70]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Regularization for Group Sparsity. ICLR 2023 - [i69]Sam Earle, Ozlem Yildiz, Julian Togelius, Chinmay Hegde:
Pathfinding Neural Cellular Automata. CoRR abs/2301.06820 (2023) - [i68]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Regularization for Group Sparsity. CoRR abs/2301.12540 (2023) - [i67]Andre Nakkab, Benjamin Feuer, Chinmay Hegde:
LiT Tuned Models for Efficient Species Detection. CoRR abs/2302.10281 (2023) - [i66]Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde:
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. CoRR abs/2306.08183 (2023) - [i65]Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar:
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR abs/2306.10159 (2023) - [i64]Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon:
Identity-Preserving Aging of Face Images via Latent Diffusion Models. CoRR abs/2307.08585 (2023) - [i63]Minh Pham, Kelly O. Marshall, Chinmay Hegde:
Circumventing Concept Erasure Methods For Text-to-Image Generative Models. CoRR abs/2308.01508 (2023) - [i62]Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde:
Distributionally Robust Classification on a Data Budget. CoRR abs/2308.03821 (2023) - [i61]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 abs/2309.02465 (2023) - [i60]Feyza Duman Keles, Chinmay Hegde:
On the Fine-Grained Hardness of Inverting Generative Models. CoRR abs/2309.05795 (2023) - [i59]Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
PriViT: Vision Transformers for Fast Private Inference. CoRR abs/2310.04604 (2023) - [i58]Benjamin Feuer, Yurong Liu, Chinmay Hegde, Juliana Freire:
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models. CoRR abs/2310.18208 (2023) - [i57]Benjamin Feuer, Chinmay Hegde:
Exploring Dataset-Scale Indicators of Data Quality. CoRR abs/2311.04016 (2023) - [i56]Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar:
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. CoRR abs/2311.09024 (2023) - [i55]Benjamin Feuer, Chinmay Hegde, Niv Cohen:
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks. CoRR abs/2311.10609 (2023) - 2022
- [j21]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: 103199 (2022) - [j20]Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20(5): 22-34 (2022) - [j19]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: 107593 (2022) - [j18]Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Provable Compressed Sensing With Generative Priors via Langevin Dynamics. IEEE Trans. Inf. Theory 68(11): 7410-7422 (2022) - [c69]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: 9377-9385 - [c68]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. Allerton 2022: 1-8 - [c67]Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Inverse Imaging with Generative Priors Via Langevin Dynamics. ICASSP 2022: 8672-8676 - [c66]Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. ICML 2022: 3947-3961 - [i54]Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. CoRR abs/2202.02340 (2022) - [i53]Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde:
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR abs/2205.06154 (2022) - [i52]Benjamin Feuer, Ameya Joshi, Chinmay Hegde:
A Meta-Analysis of Distributionally-Robust Models. CoRR abs/2206.07565 (2022) - [i51]Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde:
Revisiting Self-Distillation. CoRR abs/2206.08491 (2022) - [i50]Feyza Duman Keles, Pruthuvi Mahesakya Wijewardena, Chinmay Hegde:
On The Computational Complexity of Self-Attention. CoRR abs/2209.04881 (2022) - [i49]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. CoRR abs/2209.10105 (2022) - [i48]Govind Mittal, Jiraphon Yenphraphai, Chinmay Hegde, Nasir D. Memon:
Gotcha: A Challenge-Response System for Real-Time Deepfake Detection. CoRR abs/2210.06186 (2022) - [i47]Benjamin Feuer, Ameya Joshi, Chinmay Hegde:
Caption supervision enables robust learners. CoRR abs/2210.07396 (2022) - [i46]Aarshvi Gajjar, Chinmay Hegde, Christopher Musco:
Active Learning for Single Neuron Models with Lipschitz Non-Linearities. CoRR abs/2210.13601 (2022) - [i45]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 abs/2211.03241 (2022) - 2021
- [j17]Viraj Shah, Chinmay Hegde:
Sparse signal recovery from modulo observations. EURASIP J. Adv. Signal Process. 2021(1): 1-17 (2021) - [j16]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. 4: 573731 (2021) - [j15]Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4: 780843 (2021) - [j14]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): 229-238 (2021) - [j13]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. IEEE Trans. Inf. Theory 67(7): 4669-4692 (2021) - [c65]Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP 2021: 3675-3679 - [c64]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: 3036-3046 - [c63]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. NeurIPS 2021: 20270-20282 - [c62]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Ka Wai Wong:
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. NeurIPS 2021: 28298-28309 - [c61]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: 49 - [i44]Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Provable Compressed Sensing with Generative Priors via Langevin Dynamics. CoRR abs/2102.12643 (2021) - [i43]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 abs/2103.02051 (2021) - [i42]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 abs/2104.14538 (2021) - [i41]Viraj Shah, Rakib Hyder, M. Salman Asif, Chinmay Hegde:
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models. CoRR abs/2105.06371 (2021) - [i40]Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR abs/2106.11755 (2021) - [i39]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. CoRR abs/2108.05574 (2021) - [i38]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. CoRR abs/2110.01532 (2021) - [i37]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 abs/2110.01601 (2021) - [i36]Ameya Joshi, Gauri Jagatap, Chinmay Hegde:
Adversarial Token Attacks on Vision Transformers. CoRR abs/2110.04337 (2021) - [i35]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 abs/2112.02813 (2021) - 2020
- [j12]Gauri Jagatap, Zhengyu Chen, Seyedehsara Nayer, Chinmay Hegde, Namrata Vaswani:
Sample Efficient Fourier Ptychography for Structured Data. IEEE Trans. Computational Imaging 6: 344-357 (2020) - [c60]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: 4377-4384 - [c59]Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. AAAI 2020: 4577-4584 - [c58]M. Salman Asif, Chinmay Hegde:
The Benefits of Side Information for Structured Phase Retrieval. EUSIPCO 2020: 775-778 - [c57]Gauri Jagatap, Chinmay Hegde:
High Dynamic Range Imaging Using Deep Image Priors. ICASSP 2020: 9289-9293 - [c56]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: 50-63 - [i34]Minsu Cho, Ameya Joshi, Chinmay Hegde:
ESPN: Extremely Sparse Pruned Networks. CoRR abs/2006.15741 (2020) - [i33]Minsu Cho, Mohammadreza Soltani, Chinmay Hegde:
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. CoRR abs/2007.04087 (2020) - [i32]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 abs/2007.12792 (2020) - [i31]Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. CoRR abs/2008.12338 (2020) - [i30]Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR abs/2010.11166 (2020)
2010 – 2019
- 2019
- [j11]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
Provably Accurate Double-Sparse Coding. J. Mach. Learn. Res. 20: 141:1-141:43 (2019) - [j10]Gauri Jagatap, Chinmay Hegde:
Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements. IEEE Trans. Inf. Theory 65(7): 4434-4456 (2019) - [j9]Mohammadreza Soltani, Chinmay Hegde:
Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks. IEEE Trans. Signal Process. 67(13): 3361-3371 (2019) - [c55]Rakib Hyder, Chinmay Hegde, M. Salman Asif:
Fourier Phase Retrieval with Side Information Using Generative Prior. ACSSC 2019: 759-763 - [c54]Mohammadreza Soltani, Swayambhoo Jain, Abhinav V. Sambasivan, Chinmay Hegde:
Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing. ACSSC 2019: 2127-2131 - [c53]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
On the Dynamics of Gradient Descent for Autoencoders. AISTATS 2019: 2858-2867 - [c52]Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde:
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. CVPR Workshops 2019: 83-87 - [c51]Viraj Shah, Chinmay Hegde:
Signal Reconstruction From Modulo Observations. GlobalSIP 2019: 1-5 - [c50]Minsu Cho, Chinmay Hegde:
Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity. ICASSP 2019: 3627-3631 - [c49]Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif:
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. ICASSP 2019: 7705-7709 - [c48]Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde:
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. ICCV 2019: 4772-4782 - [c47]Gauri Jagatap, Chinmay Hegde:
Linearly Convergent Algorithms for Learning Shallow Residual Networks. ISIT 2019: 1797-1801 - [c46]Gauri Jagatap, Chinmay Hegde:
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. NeurIPS 2019: 14803-14813 - [i29]Rakib Hyder, Viraj Shah, Chinmay Hegde, M. Salman Asif:
Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval. CoRR abs/1903.02707 (2019) - [i28]Chinmay Hegde, Fritz Keinert, Eric S. Weber:
A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations. CoRR abs/1904.05732 (2019) - [i27]Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde:
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. CoRR abs/1904.08489 (2019) - [i26]Minsu Cho, Chinmay Hegde:
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity. CoRR abs/1904.11095 (2019) - [i25]Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
Encoding Invariances in Deep Generative Models. CoRR abs/1906.01626 (2019) - [i24]Minsu Cho, Mohammadreza Soltani, Chinmay Hegde:
One-Shot Neural Architecture Search via Compressive Sensing. CoRR abs/1906.02869 (2019) - [i23]Gauri Jagatap, Chinmay Hegde:
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors. CoRR abs/1906.08763 (2019) - [i22]Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar:
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. CoRR abs/1909.02583 (2019) - [i21]