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Author search results
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- Sathya N. Ravi
aka: Sathya Narayanan Ravi
University of Illinois at Chicago, IL, USA - Sathyaprakash Narayanan
- Sathya Narayanan Kasturi Rangan
- G. Sathya Narayanan
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Publication search results
found 99 matches
- 2024
- Kiruthika Kittusamy, Nagaveni Narayanan, Sheeba Devaraj, Sathya Priya Sankar:
A Novel View of Closed Graph Function in Nano Topological Space. Axioms 13(4): 270 (2024) - Subhashini Shanmugam, Revathi Sathya Narayanan:
An accurate estimation of hand gestures using optimal modified convolutional neural network. Expert Syst. Appl. 249: 123351 (2024) - Swamiraj Nithiyanantha Vasagam, Bhoopalan Ravikumar, Rajkumar Kavibharathi, Jeyasekaran Keerthana, Ramaseshan Sathya Narayanan, Kharbanda Geetika:
Prediction of leather footwear export using learning algorithms based on ANN model. Expert Syst. Appl. 238(Part A): 121809 (2024) - Hamidreza Almasi, Harsh Mishra, Balajee Vamanan, Sathya N. Ravi:
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization. ICLR 2024 - Homaira Huda Shomee, Zhu Wang, Sathya N. Ravi, Sourav Medya:
A Comprehensive Survey on AI-based Methods for Patents. CoRR abs/2404.08668 (2024) - 2023
- Sathya Narayanan, Leslie Maxwell, Mariana Anita Garcia, Utsab Saha, Tyler Menezes:
A Scalable Approach to Support Computer Science Students in Their Learning and Preparation as Software Engineers. FIE 2023: 1-5 - Ronak Mehta, Sathya N. Ravi, Vikas Singh:
Robustness and Convergence of Mirror Descent for Blind Deconvolution. ICASSP 2023: 1-5 - Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh:
Controlled Differential Equations on Long Sequences via Non-standard Wavelets. ICML 2023: 26820-26836 - Zhu Wang, Sourav Medya, Sathya N. Ravi:
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. NeurIPS 2023 - Harsh Mishra, Jurijs Nazarovs, Manmohan Dogra, Sathya N. Ravi:
Using Intermediate Forward Iterates for Intermediate Generator Optimization. CoRR abs/2302.02336 (2023) - Zhu Wang, Sourav Medya, Sathya N. Ravi:
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis. CoRR abs/2302.05608 (2023) - Hamidreza Almasi, Harsh Mishra, Balajee Vamanan, Sathya N. Ravi:
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization. CoRR abs/2302.05865 (2023) - Zhu Wang, Praveen Raj Veluswami, Harsh Mishra, Sathya N. Ravi:
Accelerated Neural Network Training with Rooted Logistic Objectives. CoRR abs/2310.03890 (2023) - 2022
- Tuan Q. Dinh, Yunyang Xiong, Zhichun Huang, Tien Vo, Akshay Mishra, Won Hwa Kim, Sathya N. Ravi, Vikas Singh:
Performing Group Difference Testing on Graph Structured Data From GANs: Analysis and Applications in Neuroimaging. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 877-889 (2022) - Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh:
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. CVPR 2022: 10422-10431 - Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi:
Deep Unlearning via Randomized Conditionally Independent Hessians. CVPR 2022: 10412-10421 - Arvind Narayanan, Muhammad Iqbal Rochman, Ahmad Hassan, Bariq S. Firmansyah, Vanlin Sathya, Monisha Ghosh, Feng Qian, Zhi-Li Zhang:
A Comparative Measurement Study of Commercial 5G mmWave Deployments. INFOCOM 2022: 800-809 - Jurijs Nazarovs, Rudrasis Chakraborty, Songwong Tasneeyapant, Sathya N. Ravi, Vikas Singh:
Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data. CoRR abs/2202.09463 (2022) - Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh:
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. CoRR abs/2203.15234 (2022) - Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi:
Deep Unlearning via Randomized Conditionally Independent Hessians. CoRR abs/2204.07655 (2022) - Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran:
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. CoRR abs/2212.00015 (2022) - 2021
- Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh:
Learning Invariant Representations using Inverse Contrastive Loss. AAAI 2021: 6582-6591 - Zihang Meng, Sathya N. Ravi, Vikas Singh:
Physarum Powered Differentiable Linear Programming Layers and Applications. AAAI 2021: 8939-8949 - Zihang Meng, Vikas Singh, Sathya N. Ravi:
Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators. ICCV 2021: 11615-11624 - Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Anirban Chakraborty, Chetan Singh Thakur:
Real-Time Object Detection and Localization in Compressive Sensed Video. ICIP 2021: 1489-1493 - Zhanpeng Zeng, Yunyang Xiong, Sathya N. Ravi, Shailesh Acharya, Glenn Moo Fung, Vikas Singh:
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling. ICML 2021: 12321-12332 - Sathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. ICDM (Workshops) 2021: 500-507 - Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. MICCAI (5) 2021: 592-602 - Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi:
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS 2021: 29129-29141 - Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur:
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. PAKDD (1) 2021: 164-175
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