| 2025 | ACL | From Heart to Words: Generating Empathetic Responses via Integrated Figurative Language and Semantic Context Signals. | Gyeongeun Lee, Zhu Wang, Sathya N. Ravi, Natalie Parde |
| 2025 | ACL | A Survey on Patent Analysis: From NLP to Multimodal AI. | Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya |
| 2025 | AISTATS | Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives. | Zhu Wang, Praveen Raj Veluswami, Harsh Mishra, Sathya N. Ravi |
| 2025 | EMNLP | DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding. | Zhu Wang, Homaira Huda Shomee, Sathya N. Ravi, Sourav Medya |
| 2024 | ICLR | Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization. | Hamidreza Almasi, Harsh Mishra, Balajee Vamanan, Sathya N. Ravi |
| 2023 | ICASSP | Robustness and Convergence of Mirror Descent for Blind Deconvolution. | Ronak Mehta, Sathya N. Ravi, Vikas Singh |
| 2023 | ICML | Controlled Differential Equations on Long Sequences via Non-standard Wavelets. | Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh |
| 2022 | CVPR | Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. | Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh |
| 2022 | CVPR | Deep Unlearning via Randomized Conditionally Independent Hessians. | Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi |
| 2021 | AAAI | Learning Invariant Representations using Inverse Contrastive Loss. | Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh |
| 2021 | AAAI | Physarum Powered Differentiable Linear Programming Layers and Applications. | Zihang Meng, Sathya N. Ravi, Vikas Singh |
| 2021 | ICCV | Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators. | Zihang Meng, Vikas Singh, Sathya N. Ravi |
| 2021 | ICML | You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. | Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Moo Fung, Vikas Singh |
| 2021 | UAI | A variational approximation for analyzing the dynamics of panel data. | Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh |
| 2020 | AAAI | Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains. | Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh |
| 2020 | CVPR | Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations. | Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh, Sathya N. Ravi, Vikas Singh |
| 2020 | ECCV | FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret. | Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh |
| 2019 | AAAI | Numerical Optimization to AI, and Back. | Sathya N. Ravi |
| 2019 | AAAI | Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. | Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh |
| 2019 | ICCV | Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks. | Yiyou Sun, Sathya N. Ravi, Vikas Singh |
| 2018 | CVPR | Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. | Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh |
| 2018 | CVPR | A Biresolution Spectral Framework for Product Quantization. | Lopamudra Mukherjee, Sathya N. Ravi, Jiming Peng, Vikas Singh |
| 2017 | CVPR | Filter Flow Made Practical: Massively Parallel and Lock-Free. | Sathya N. Ravi, Yunyang Xiong, Lopamudra Mukherjee, Vikas Singh |
| 2016 | CVPR | Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. | Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh |
| 2016 | ICML | Experimental Design on a Budget for Sparse Linear Models and Applications. | Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. | Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | On Statistical Analysis of Neuroimages with Imperfect Registration. | Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh |
| 2015 | ICCV | An NMF Perspective on Binary Hashing. | Lopamudra Mukherjee, Sathya N. Ravi, Vamsi K. Ithapu, Tyler Holmes, Vikas Singh |