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Ameya Joshi
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2020 – today
- 2024
- [j5]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) - [j4]Md. Zahid Hasan
, Jiajing Chen
Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos. IEEE Trans. Intell. Transp. Syst. 25(9): 11602-11616 (2024) - [c12]Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde:
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML 2024: 252-271 - [i19]Leonid Boytsov, Ameya Joshi, Filipe Condessa:
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection. CoRR abs/2402.17018 (2024) - 2023
- [j3]Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde:
Distributionally Robust Classification on a Data Budget. Trans. Mach. Learn. Res. 2023 (2023) - [c11]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 - [i18]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) - [i17]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) - [i16]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) - [i15]Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde:
Distributionally Robust Classification on a Data Budget. CoRR abs/2308.03821 (2023) - [i14]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) - [i13]Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar:
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. CoRR abs/2311.09024 (2023) - 2022
- [c10]Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. ICML 2022: 3947-3961 - [i12]Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. CoRR abs/2202.02340 (2022) - [i11]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) - [i10]Benjamin Feuer, Ameya Joshi, Chinmay Hegde:
A Meta-Analysis of Distributionally-Robust Models. CoRR abs/2206.07565 (2022) - [i9]Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde:
Revisiting Self-Distillation. CoRR abs/2206.08491 (2022) - [i8]Benjamin Feuer, Ameya Joshi, Chinmay Hegde:
Caption supervision enables robust learners. CoRR abs/2210.07396 (2022) - 2021
- [j2]Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4: 780843 (2021) - [j1]Xian Yeow Lee
Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. 1(3): 229-238 (2021) - [c9]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
Differentiable Spline Approximations. NeurIPS 2021: 20270-20282 - [i7]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) - [i6]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) - [i5]Ameya Joshi, Gauri Jagatap, Chinmay Hegde:
Adversarial Token Attacks on Vision Transformers. CoRR abs/2110.04337 (2021) - 2020
- [c8]Ameya Joshi
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI 2020: 4377-4384 - [c7]Sergio Botelho, Ameya Joshi
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. MLHPC/AI4S@SC 2020: 50-63 - [i4]Minsu Cho, Ameya Joshi, Chinmay Hegde:
ESPN: Extremely Sparse Pruned Networks. CoRR abs/2006.15741 (2020) - [i3]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)
2010 – 2019
- 2019
- [c6]Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde:
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. CVPR Workshops 2019: 83-87 - [c5]Ameya Joshi
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. ICCV 2019: 4772-4782 - [i2]Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde:
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. CoRR abs/1904.08489 (2019) - [i1]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) - 2018
- [c4]Abhishek Vahadane, Ameya Joshi
Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning. ISBI 2018: 1427-1430 - [c3]Shahrukh Athar, Abhishek Vahadane, Ameya Joshi
Weakly supervised fluid filled region localization in retinal OCT scans. ISBI 2018: 1467-1470 - 2014
- [c2]Amol Mahurkar, Ameya Joshi
Selective visualization of anomalies in fundus images via sparse and low rank decomposition. SIGGRAPH Posters 2014: 109:1 - 2010
- [c1]Alhad Kuwadekar, Ameya Joshi, Khalid Al-Begain:
Real Time Video Adaptation in Next Generation Networks. NGMAST 2010: 54-60
Coauthor Index
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