I am a second year PhD student at NYU Tandon, being advised by Dr. Chinmay Hegde. I was previously a PhD student at Iowa State University with Dr. Hegde and Dr. Soumik Sarkar. My primary research areas are Robust Learning of deep neural models and Generative Adversarial Models for Physics Constrained models. I graduated with Bachelors(Hons.) in Electrical and Electronics Engineering from BITS Pilani, Goa.
I used to be a Lead Computer Scientist at Sigtuple Inc. and worked on learning based systems for medical images.
* indicates equal contribution.
InvNet: Encoding Invariances with Deep Generative Models
Ameya Joshi*, Minsu Cho*, Viraj Shah, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
AAAI Conference on Artifical Intelligence, 2020
Generative Models for Solving Nonlinear Partial Differential Equations
Ameya Joshi*, Viraj Shah*, Sambuddha Ghosal, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Workshop on Machine Learning for Physical Sciences at NeurIPS 2019
Annual Machine Learning Symposium, New York Academy of Sciences, 2020
Semantic Domain Adaptation for Deep Classifiers via GAN-based Data Augmentation Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
Workshop on Machine Learning for Autonomous Driving, NeurIPS 2019
Encoding Invariances with Deep Generative Models
Viraj Shah*, Ameya Joshi*, Sambuddha Ghosal, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
CVPR Workshop on Vision for All Seasons (VAS) 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
Weakly supervised fluid filled region localization in retinal OCT scans
ShahRukh Athar, Abhishek Vahadane, Ameya Joshi, Tathagato Rai Dastidar
Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning
Abhishek Vahadane, Ameya Joshi, Kiran Madan, Tathagato Rai Dastidar
Selective visualization of anomalies in fundus images via sparse and low rank decomposition
Amol Mahurkar*, Ameya Joshi*, Naren Nallapareddy, Pradyumna Reddy, Micha Feigin, Achuta Kadambi, Ramesh Raskar
ACM SIGGRAPH 2014 Posters