Search Results - "Jayaraman, J"

Optimizing Kernel Machines Using Deep Learning by Huan Song, Thiagarajan, Jayaraman J., Sattigeri, Prasanna, Spanias, Andreas

“…Building highly nonlinear and nonparametric models is central to several state-of-the-art machine learning systems. Kernel methods form an important class of…”
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MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking by Anirudh, Rushil, Thiagarajan, Jayaraman J., Kailkhura, Bhavya, Bremer, Peer-Timo

“…In the past few years, Generative Adversarial Networks (GANs) have dramatically advanced our ability to represent and parameterize high-dimensional, non-linear…”
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Training calibration-based counterfactual explainers for deep learning models in medical image analysis by Thiagarajan, Jayaraman J., Thopalli, Kowshik, Rajan, Deepta, Turaga, Pavan

“…The rapid adoption of artificial intelligence methods in healthcare is coupled with the critical need for techniques to rigorously introspect models and…”
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GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models by Shanthamallu, Uday Shankar, Thiagarajan, Jayaraman J., Song, Huan, Spanias, Andreas

“…Modern data analysis pipelines are becoming increasingly complex due to the presence of multiview information sources. While graphs are effective in modeling…”
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Improved surrogates in inertial confinement fusion with manifold and cycle consistencies by Anirudh, Rushil, Thiagarajan, Jayaraman J., Bremer, Peer-Timo, Spears, Brian K.

“…Neural networks have become the method of choice in surrogate modeling because of their ability to characterize arbitrary, high-dimensional functions in a…”
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Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning by Thiagarajan, Jayaraman J., Ramamurthy, Karthikeyan Natesan, Spanias, Andreas

“…In complex visual recognition tasks, it is typical to adopt multiple descriptors, which describe different aspects of the images, for obtaining an improved…”
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Visual Exploration of Semantic Relationships in Neural Word Embeddings by Liu, Shusen, Bremer, Peer-Timo, Thiagarajan, Jayaraman J., Srikumar, Vivek, Wang, Bei, Livnat, Yarden, Pascucci, Valerio

“…Constructing distributed representations for words through neural language models and using the resulting vector spaces for analysis has become a crucial…”
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DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms by Thiagarajan, Jayaraman J., Rajan, Deepta, Katoch, Sameeksha, Spanias, Andreas

“…Effective patient care mandates rapid, yet accurate, diagnosis. With the abundance of non-invasive diagnostic measurements and electronic health records (EHR),…”
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The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation by Thopalli, Kowshik, Anirudh, Rushil, Turaga, Pavan, Thiagarajan, Jayaraman J.

“…Unsupervised domain adaptation (UDA) aims to transfer and adapt knowledge from a labeled source domain to an unlabeled target domain. Traditionally,…”
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Designing accurate emulators for scientific processes using calibration-driven deep models by Thiagarajan, Jayaraman J., Venkatesh, Bindya, Anirudh, Rushil, Bremer, Peer-Timo, Gaffney, Jim, Anderson, Gemma, Spears, Brian

“…Predictive models that accurately emulate complex scientific processes can achieve speed-ups over numerical simulators or experiments and at the same time…”
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A Regularized Attention Mechanism for Graph Attention Networks by Shanthamallu, Uday Shankar, Thiagarajan, Jayaraman J., Spanias, Andreas

“…Machine learning models that can exploit the inherent structure in data have gained prominence. In particular, there is a surge in deep learning solutions for…”
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Preparedness of early childhood teachers to teach financial literacy: evidence from the US by Jayaraman, J. D., Jambunathan, Saigeetha, Adesanya, Regina

“…This study investigates financial literacy among early childhood teachers in the US. A survey was used to measure the financial literacy among early childhood…”
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PRICE 2020 guidelines for reporting case reports in Endodontics: a consensus‐based development by Nagendrababu, V., Chong, B. S., McCabe, P., Shah, P. K., Priya, E., Jayaraman, J., Pulikkotil, S. J., Setzer, F. C., Sunde, P. T., Dummer, P. M. H.

“…Case reports can provide early information about new, unusual or rare disease(s), newer treatment strategies, improved therapeutic benefits and adverse effects…”
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Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification by Anirudh, Rushil, Thiagarajan, Jayaraman J.

“…Using predictive models to identify patterns that can act as biomarkers for different neuropathoglogical conditions is becoming highly prevalent. In this…”
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Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization by Muniraju, Gowtham, Kailkhura, Bhavya, Thiagarajan, Jayaraman J., Bremer, Peer-Timo, Tepedelenlioglu, Cihan, Spanias, Andreas

“…Sampling one or more effective solutions from large search spaces is a recurring idea in machine learning (ML), and sequential optimization has become a…”
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PRIASE 2021 guidelines for reporting animal studies in Endodontology: a consensus‐based development by Nagendrababu, V., Kishen, A., Murray, P. E., Nekoofar, M. H., Figueiredo, J. A. P., Priya, E., Jayaraman, J., Pulikkotil, S. J., Camilleri, J., Silva, R. M., Dummer, P. M. H.

“…Animal testing is crucial in situations when research on humans is not allowed because of unknown health risks and ethical concerns. The current project aims…”
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PRIRATE 2020 guidelines for reporting randomized trials in Endodontics: a consensus‐based development by Nagendrababu, V., Duncan, H. F., Bjørndal, L., Kvist, T., Priya, E., Jayaraman, J., Pulikkotil, S. J., Pigg, M., Rechenberg, D. K., Væth, M., Dummer, P. M. H.

“…In evidence‐based health care, randomized clinical trials provide the most accurate and reliable information on the effectiveness of an intervention. This…”
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A Closer Look At Scoring Functions And Generalization Prediction by Trivedi, Puja, Koutra, Danai, Thiagarajan, Jayaraman J.

“…Generalization error predictors (GEPs) aim to predict model performance on unseen distributions by deriving dataset-level error estimates from sample-level…”
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Learning Stable Multilevel Dictionaries for Sparse Representations by Thiagarajan, Jayaraman J., Natesan Ramamurthy, Karthikeyan, Spanias, Andreas

“…Sparse representations using learned dictionaries are being increasingly used with success in several data processing and machine learning applications. The…”
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Comparison of beliefs about classroom ethical practices among early childhood teachers in India and the USA: an exploratory study by Jambunathan, Saigeetha, Jayaraman, J. D., Adesanya, Regina

“…The purpose of this study is to compare the beliefs about ethics and ethical practices among early childhood teachers in India and the USA. Ninety-one teachers…”
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