Ameya Joshi

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 32

Top Topics

Weakly Supervised

Dirichlet Prior

Diffusion Models

Top Venues

Nat. Comput. Sci.

Publications

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 (2024)
Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. SaTML (2024)
Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. CoRR (2023)
Md Zahid Hasan, Jiajing Chen, Jiyang Wang, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos. CoRR (2023)
Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon
Identity-Preserving Aging of Face Images via Latent Diffusion Models. IJCB (2023)
Ashutosh Nirala, Ameya Joshi, Chinmay Hegde, Soumik Sarkar
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. CoRR (2023)
Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde
Distributionally Robust Classification on a Data Budget. CoRR (2023)
Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
PriViT: Vision Transformers for Fast Private Inference. CoRR (2023)
Sudipta Banerjee, Govind Mittal, Ameya Joshi, Chinmay Hegde, Nasir D. Memon
Identity-Preserving Aging of Face Images via Latent Diffusion Models. CoRR (2023)
Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde
Distributionally Robust Classification on a Data Budget. Trans. Mach. Learn. Res. 2023 (2023)
Benjamin Feuer, Ameya Joshi, Chinmay Hegde
Caption supervision enables robust learners. CoRR (2022)
Benjamin Feuer, Ameya Joshi, Chinmay Hegde
A Meta-Analysis of Distributionally-Robust Models. CoRR (2022)
Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde
Revisiting Self-Distillation. CoRR (2022)
Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
Selective Network Linearization for Efficient Private Inference. CoRR (2022)
Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR (2022)
Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Selective Network Linearization for Efficient Private Inference. ICML (2022)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. NeurIPS (2021)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. CoRR (2021)
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) (2021)
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 (2021)
Ameya Joshi, Gauri Jagatap, Chinmay Hegde
Adversarial Token Attacks on Vision Transformers. CoRR (2021)
Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4 (2021)
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 (2020)
Minsu Cho, Ameya Joshi, Chinmay Hegde
ESPN: Extremely Sparse Pruned Networks. CoRR (2020)
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)
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)
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. ICCV (2019)
Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. CoRR (2019)
Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde
Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. CVPR Workshops (2019)
Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Encoding Invariances in Deep Generative Models. CoRR (2019)
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)
Shahrukh Athar, Abhishek Vahadane, Ameya Joshi, Tathagato Rai Dastidar
Weakly supervised fluid filled region localization in retinal OCT scans. ISBI (2018)
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. SIGGRAPH Posters (2014)
Alhad Kuwadekar, Ameya Joshi, Khalid Al-Begain
Real Time Video Adaptation in Next Generation Networks. NGMAST (2010)