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08/17/2023
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models
Information extraction and textual comprehension from materials literatu...
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07/11/2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks
The time evolution of physical systems is described by differential equa...
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06/20/2023
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics
Neural networks (NNs) that exploit strong inductive biases based on phys...
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11/06/2022
Cementron: Machine Learning the Constituent Phases in Cement Clinker from Optical Images
Cement is the most used construction material. The performance of cement...
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10/19/2022
Predicting Oxide Glass Properties with Low Complexity Neural Network and Physical and Chemical Descriptors
Due to their disordered structure, glasses present a unique challenge in...
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07/22/2022
A Novel Meta-predictor based Algorithm for Testing VLSI Circuits
Testing of integrated circuits (IC) is a highly expensive process but al...
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02/16/2021
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images
The gold standard for COVID-19 is RT-PCR, testing facilities for which a...
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11/20/2020
Complexity Controlled Generative Adversarial Networks
One of the issues faced in training Generative Adversarial Nets (GANs) a...
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11/07/2020
Enhash: A Fast Streaming Algorithm For Concept Drift Detection
We propose Enhash, a fast ensemble learner that detects concept drift in...
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09/02/2019
Guided Random Forest and its application to data approximation
We present a new way of constructing an ensemble classifier, named the G...
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08/29/2019
Smaller Models, Better Generalization
Reducing network complexity has been a major research focus in recent ye...
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01/31/2019
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise
Deep neural networks are over-parameterized, which implies that the numb...
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11/03/2018
Radius-margin bounds for deep neural networks
Explaining the unreasonable effectiveness of deep learning has eluded re...
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09/12/2016
Examining Representational Similarity in ConvNets and the Primate Visual Cortex
We compare several ConvNets with different depth and regularization tech...
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03/11/2015
Benchmarking NLopt and state-of-art algorithms for Continuous Global Optimization via Hybrid IACO_R
This paper presents a comparative analysis of the performance of the Inc...
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03/11/2015