Ameya Joshi

According to our database, Ameya Joshi authored at least 28 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection.

Leonid Boytsov, Ameya Joshi, Filipe Condessa

CoRR, 2024

2023

Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing.

Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar

CoRR, 2023

PriViT: Vision Transformers for Fast Private Inference.

Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde

CoRR, 2023

Distributionally Robust Classification on a Data Budget.

Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde

CoRR, 2023

Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos.

Md. Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar

CoRR, 2023

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision.

Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde

CoRR, 2023

Identity-Preserving Aging of Face Images via Latent Diffusion Models.

Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon

Proceedings of the IEEE International Joint Conference on Biometrics, 2023

2022

Caption supervision enables robust learners.

Benjamin Feuer, Ameya Joshi, Chinmay Hegde

CoRR, 2022

Revisiting Self-Distillation.

Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde

CoRR, 2022

A Meta-Analysis of Distributionally-Robust Models.

Benjamin Feuer, Ameya Joshi, Chinmay Hegde

CoRR, 2022

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness.

Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde

CoRR, 2022

Selective Network Linearization for Efficient Private Inference.

Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde

Proceedings of the International Conference on Machine Learning, 2022

2021

Fast inverse design of microstructures via generative invariance networks.

Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar

Nat. Comput. Sci., 2021

Adversarially Robust Learning via Entropic Regularization.

Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde

Frontiers Artif. Intell., 2021

Adversarial Token Attacks on Vision Transformers.

Ameya Joshi, Gauri Jagatap, Chinmay Hegde

CoRR, 2021

NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs.

Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

CoRR, 2021

Differentiable Spline Approximations.

Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.

Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian

CoRR, 2020

ESPN: Extremely Sparse Pruned Networks.

Minsu Cho, Ameya Joshi, Chinmay Hegde

CoRR, 2020

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.

Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian

Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models.

Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Encoding Invariances in Deep Generative Models.

Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

CoRR, 2019

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers.

Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models.

Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning.

Abhishek Vahadane, Ameya Joshi, Kiran Madan, Tathagato Rai Dastidar

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Weakly supervised fluid filled region localization in retinal OCT scans.

Shahrukh Athar, Abhishek Vahadane, Ameya Joshi, Tathagato Rai Dastidar

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2014

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

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2010

Real Time Video Adaptation in Next Generation Networks.

Alhad Kuwadekar, Ameya Joshi, Khalid Al-Begain

Proceedings of the 4th International Conference on Next Generation Mobile Applications, 2010