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08/21/2023
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation
In recent years, several Weakly Supervised Semantic Segmentation (WS3) m...
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05/24/2023
Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation
Conditional graph generation tasks involve training a model to generate ...
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07/05/2022
Rethinking the Importance of Sampling in Physics-informed Neural Networks
Physics-informed neural networks (PINNs) have emerged as a powerful tool...
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10/01/2021
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
A central goal in deep learning is to learn compact representations of f...
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01/20/2021
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs
We propose quadratic residual networks (QRes) as a new type of parameter...
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09/02/2020
Beyond Observed Connections : Link Injection
In this paper, we proposed the link injection, a novel method that helps...
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07/02/2020
Learning Neural Networks with Competing Physics Objectives: An Application in Quantum Mechanics
Physics-guided Machine Learning (PGML) is an emerging field of research ...
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11/06/2019
