Real Time Video Adaptation in Next Generation Networks. - Alhad Kuwadekar; Ameya Joshi; Khalid Al-Begain (NGMAST, 2010)

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 (SIGGRAPH Posters, 2014)

Weakly supervised fluid filled region localization in retinal OCT scans. - Shahrukh Athar; Abhishek Vahadane; Ameya Joshi; Tathagato Rai Dastidar (ISBI, 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 (ISBI, 2018)

Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. - Amitangshu Mukherjee; Ameya Joshi; Soumik Sarkar; Chinmay Hegde (CVPR Workshops, 2019)

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. - Ameya Joshi; Amitangshu Mukherjee; Soumik Sarkar; Chinmay Hegde (ICCV, 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)

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 (AAAI, 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 (MLHPC/AI4S@SC, 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; Soumik Sarkar; Chinmay Hegde; Santi Adavani; Baskar Ganapathysubramanian (CoRR, 2020)

Differentiable Spline Approximations. - Minsu Cho; Aditya Balu; Ameya Joshi; Anjana Deva Prasad; Biswajit Khara; Soumik Sarkar; Baskar Ganapathysubramanian; Adarsh Krishnamurthy; Chinmay Hegde (NeurIPS, 2021)

Adversarial Token Attacks on Vision Transformers. - Ameya Joshi; Gauri Jagatap; Chinmay Hegde (CoRR, 2021)

Adversarially Robust Learning via Entropic Regularization. - Gauri Jagatap; Ameya Joshi; Animesh Basak Chowdhury; Siddharth Garg; Chinmay Hegde (Frontiers Artif. Intell., 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)

Selective Network Linearization for Efficient Private Inference. - Minsu Cho; Ameya Joshi; Brandon Reagen; Siddharth Garg; Chinmay Hegde (ICML, 2022)

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. - Ameya Joshi; Minh Pham 005; Minsu Cho; Leonid Boytsov; Filipe Condessa; J. Zico Kolter; Chinmay Hegde (CoRR, 2022)

A Meta-Analysis of Distributionally-Robust Models. - Benjamin Feuer; Ameya Joshi; Chinmay Hegde (CoRR, 2022)

Revisiting Self-Distillation. - Minh Pham 005; Minsu Cho; Ameya Joshi; Chinmay Hegde (CoRR, 2022)

Caption supervision enables robust learners. - Benjamin Feuer; Ameya Joshi; Chinmay Hegde (CoRR, 2022)

Identity-Preserving Aging of Face Images via Latent Diffusion Models. - Sudipta Banerjee; Govind Mittal; Ameya Joshi; Chinmay Hegde; Nasir D. Memon (IJCB, 2023)

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. - Kelly O. Marshall; Minh Pham 005; Ameya Joshi; Anushrut Jignasu; Aditya Balu; Adarsh Krishnamurthy; Chinmay Hegde (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 005; Chinmay Hegde (Trans. Mach. Learn. Res., 2023)

Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. - Ashutosh Nirala; Ameya Joshi; Soumik Sarkar; Chinmay Hegde (SaTML, 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)

PriViT: Vision Transformers for Private Inference. - Naren Dhyani; Jianqiao Cambridge Mo; Patrick Yubeaton; Minsu Cho; Ameya Joshi; Siddharth Garg; Brandon Reagen; Chinmay Hegde (Trans. Mach. Learn. Res., 2024)

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 (IEEE Trans. Intell. Transp. Syst., 2024)

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 (Eng. Comput., 2024)

Identity-Aware Facial Age Editing Using Latent Diffusion. - Sudipta Banerjee; Govind Mittal; Ameya Joshi; Sai Pranaswi Mullangi; Chinmay Hegde; Nasir D. Memon (IEEE Trans. Biom. Behav. Identity Sci., 2024)

Search-contempt: a hybrid MCTS algorithm for training AlphaZero-like engines with better computational efficiency. - Ameya Joshi (CoRR, 2025)