Publications

You can also find my articles on my Google Scholar profile.

* indicates equal contribution.

Journal Publications

1. G. Jagatap,A. Joshi, A. B. Chowdhury, S. Garg, and C. Hegde, “Adversarially robust learning via entropic regularization,”Frontiers in Artificial Intelligence, 2021

2. X. Lee, J. R. Waite, C.-H. Yang, B. Pokuri, Ameya Joshi, A. Balu, C. Hegde, B. Ganapathysubramanian, and S. Sarkar, “Fast inversedesign of microstructures via generative invariance networks,”Nature Computational Science, 2020

Conference/Workshops

1. A. Joshi, G. Jagatap, and C. Hegde, “Adversarial token attacks on vision transformers, in CVPR Workshop on Transformers for Computer Vision, 2022.
   Spotlight Talk
   Paper
   Poster
   Presentation

2. M. Cho,A. Joshi, S. Garg, B. Reagen, and C. Hegde, “Selective network linearization for efficient private inference, in ICML, 2022
   Paper

3. Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde, “Differentiable Spline Approximations”, in NeurIPS 2021
   Paper

4. Minsu Cho, Ameya Joshi, and Chinmay Hegde, “ESPN: Extremely sparse pruned networks”, in Data Science and Learning Workshop (DSLW), 2020
   Preprint

5. Gauri Jagatap, Ameya Joshi, Animesh Basak Chaudhari, Siddharth Garg, Chinmay Hegde, “Adversarially robust learning via entropic regularization”, ICML Workshop on Adversarial Machine Learning, 2021
   Paper

6. Minsu Cho*, Ameya Joshi*, X. Y. Lee, et al., “Differentiable programming for piecewise polynomial functions,” in NeurIPS Workshop on Learning Meets Combinatorial Algorithms (LMCA), 2020
   Paper

7. Sergio Botelho*, Ameya Joshi*, Biswajit Khara*, Soumik Sarkar, Chinmay Hegde, Santi Adavani, and Baskar Ganapathysubramanian, Deep generative models that solve pdes: Distributed computing for training large data-free models, Int. Conf. of High Perf. Comput., Netw.,Storage and Analy.(SC) Workshop on ML in HPC (MLHPC),
   Preprint

8. Ameya Joshi, Biswajit Khara, Baskar Ganapathysubramanian, Soumik Sarkar, and Chinmay Hegde. Generative models for solving stochastic partial differential equations. In Proceedings of Asilomar Conf. Sig. Sys. Comput., Nov. 2020

9. Ameya Joshi*, Minsu Cho*, Viraj Shah, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde, InvNet: Encoding Invariances with Deep Generative Models, AAAI Conference on Artifical Intelligence, 2020
   Paper Supplementary Demo

10. Ameya Joshi*, Viraj Shah*, Sambuddha Ghosal, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde, Generative Models for Solving Nonlinear Partial Differential Equations, Workshop on Machine Learning for Physical Sciences at NeurIPS 2019 Annual Machine Learning Symposium, New York Academy of Sciences, 2020
    Paper

11. Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Semantic Domain Adaptation for Deep Classifiers via GAN-based Data Augmentation, Workshop on Machine Learning for Autonomous Driving, NeurIPS 2019
    Paper

12. Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models, CVPR Workshop on Vision for All Seasons (VAS) 2019
    Paper

13. Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde, Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers, ICCV 2019
    Paper

14. ShahRukh Athar, Abhishek Vahadane, Ameya Joshi, Tathagato Rai Dastidar, Weakly supervised fluid filled region localization in retinal OCT scans, ISBI 2018
    Paper

15. Abhishek Vahadane, Ameya Joshi, Kiran Madan, Tathagato Rai Dastidar, Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning, ISBI 2018
    Paper

16. Amol Mahurkar*, Ameya Joshi*, Naren Nallapareddy, Pradyumna Reddy, Micha Feigin, Achuta Kadambi, Ramesh Raskar, Selective visualization of anomalies in fundus images via sparse and low rank decomposition
    ACM SIGGRAPH 2014 Posters
    Paper

Preprints

1. A. Joshi, M. Pham, M. Cho, L. Boytsov, F. Condessa, J. Z. Kolter, and C. Hegde, “Smooth-Reduce: Leveraging Patches for Improved Certified Robustness.”, arXiV preprint, arxiv:2205.06154,
   https://arxiv.org/abs/2205.06154Paper
   Webpage

2. Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian, DiffNet: Neural Field Solutions of Parametric Partial Differential Equations,
   Preprint