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08/18/2023
How important are specialized transforms in Neural Operators?
Simulating physical systems using Partial Differential Equations (PDEs) ...
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08/18/2023
HyperLoRA for PDEs
Physics-informed neural networks (PINNs) have been widely used to develo...
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03/30/2023
Synthesis of Mathematical programs from Natural Language Specifications
Several decision problems that are encountered in various business domai...
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03/24/2023
DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission
The spread of many infectious diseases is modeled using variants of the ...
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03/13/2023
Symbolic Regression for PDEs using Pruned Differentiable Programs
Physics-informed Neural Networks (PINNs) have been widely used to obtain...
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12/20/2022
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs
We demonstrate a Physics-informed Neural Network (PINN) based model for ...
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07/11/2022
On NeuroSymbolic Solutions for PDEs
Physics Informed Neural Networks (PINNs) have gained immense popularity ...
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03/18/2022
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
Several real-life applications require crafting concise, quantitative sc...
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03/21/2017
Knowledge distillation using unlabeled mismatched images
Current approaches for Knowledge Distillation (KD) either directly use t...
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09/16/2016
Stamp processing with examplar features
Document digitization is becoming increasingly crucial. In this work, we...
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09/08/2016
Ashwin: Plug-and-Play System for Machine-Human Image Annotation
We present an end-to-end machine-human image annotation system where eac...
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09/07/2016