Search Results - "Dasarathy, Gautam"

Digital medicine and the curse of dimensionality by Berisha, Visar, Krantsevich, Chelsea, Hahn, P. Richard, Hahn, Shira, Dasarathy, Gautam, Turaga, Pavan, Liss, Julie

“…Digital health data are multimodal and high-dimensional. A patient’s health state can be characterized by a multitude of signals including medical imaging,…”
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A stochastic Farris transform for genetic data under the multispecies coalescent with applications to data requirements by Dasarathy, Gautam, Mossel, Elchanan, Nowak, Robert, Roch, Sebastien

“…Species tree estimation faces many significant hurdles. Chief among them is that the trees describing the ancestral lineages of each individual gene—the gene…”
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Orthogonality and graph divergence losses promote disentanglement in generative models by Shukla, Ankita, Dadhich, Rishi, Singh, Rajhans, Rayas, Anirudh, Saidi, Pouria, Dasarathy, Gautam, Berisha, Visar, Turaga, Pavan

“…Over the last decade, deep generative models have evolved to generate realistic and sharp images. The success of these models is often attributed to an…”
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Transmission Line Parameter Estimation Under Non-Gaussian Measurement Noise by Varghese, Antos Cheeramban, Pal, Anamitra, Dasarathy, Gautam

“…Accurate knowledge of transmission line parameters is essential for a variety of power system monitoring, protection, and control applications. The use of…”
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A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data by Taghipourbazargani, Nima, Dasarathy, Gautam, Sankar, Lalitha, Kosut, Oliver

“…Power systems are prone to a variety of events (e.g. line trips and generation loss) and real-time identification of such events is crucial in terms of…”
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Multi-fidelity Gaussian Process Bandit Optimisation by Kandasamy, Kirthevasan, Dasarathy, Gautam, Oliva, Junier, Schneider, Jeff, Póczos, Barnabás

“…In many scientific and engineering applications, we are tasked with the maximisation of an expensive to evaluate black box function f. Traditional settings for…”
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A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization by Sypherd, Tyler, Diaz, Mario, Cava, John Kevin, Dasarathy, Gautam, Kairouz, Peter, Sankar, Lalitha

“…We introduce a tunable loss function called <inline-formula> <tex-math notation="LaTeX">\alpha </tex-math></inline-formula>-loss, parameterized by…”
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State and Topology Estimation for Unobservable Distribution Systems Using Deep Neural Networks by Azimian, Behrouz, Biswas, Reetam Sen, Moshtagh, Shiva, Pal, Anamitra, Tong, Lang, Dasarathy, Gautam

“…Time-synchronized state estimation for reconfigurable distribution networks is challenging because of limited real-time observability. This article addresses…”
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Rapid Change Localization in Dynamic Graphical Models by Zahin, Abrar, Li, Weizhi, Dasarathy, Gautam

“…Gaussian graphical models have emerged as a powerful tool for modeling and understanding multivariate data across various domains. In this paper, we consider…”
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Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method by Dasarathy, Gautam, Nowak, Robert, Roch, Sebastien

“…We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It is known that the…”
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Quantile Search with Time-Varying Search Parameter by Lipor, John, Dasarathy, Gautam

“…We consider the problem of active learning in the context of spatial sampling, where the sampling cost is a function of both the number of samples taken and…”
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Grid Topology Identification With Hidden Nodes via Structured Norm Minimization by Anguluri, Rajasekhar, Dasarathy, Gautam, Kosut, Oliver, Sankar, Lalitha

“…This letter studies a topology identification problem for an electric distribution grid using sign patterns of the inverse covariance matrix of bus voltage…”
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Non-Stationary Bandits with Periodic Behavior: Harnessing Ramanujan Periodicity Transforms to Conquer Time-Varying Challenges by Thaker, Parth, Gattani, Vineet, Tirukkonda, Vignesh, Saidi, Pouria, Dasarathy, Gautam

“…In traditional multi-armed bandits (MAB), a standard assumption is that the mean rewards are constant across each arm, a simplification that can be restrictive…”
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Sketching Sparse Matrices, Covariances, and Graphs via Tensor Products by Dasarathy, Gautam, Shah, Parikshit, Bhaskar, Badri Narayan, Nowak, Robert D.

“…This paper considers the problem of recovering an unknown sparse p×p matrix X from an m×m matrix Y=AXB T , where A and B are known m×p matrices with m≪p. The…”
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Nonparanormal graph quilting with applications to calcium imaging by Chang, Andersen, Zheng, Lili, Dasarathy, Gautam, Allen, Genevera I.

“…Probabilistic graphical models have become an important unsupervised learning tool for detecting network structures for a variety of problems, including the…”
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Differential Analysis for Networks Obeying Conservation Laws by Rayas, Anirudh, Anguluri, Rajasekhar, Cheng, Jiajun, Dasarathy, Gautam

“…Networked systems that occur in various domains, such as electric networks, the brain, and opinion networks, are known to obey conservation laws. For instance,…”
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A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic Device by Dunkelberger, Nathan, Sullivan, Jennifer L., Bradley, Joshua, Manickam, Indu, Dasarathy, Gautam, Baraniuk, Richard, O'Malley, Marcia K.

“…Communication is an important part of our daily interactions; however, communication can be hindered, either through visual or auditory impairment, or because…”
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Efficient Network Tomography for Internet Topology Discovery by Eriksson, B., Dasarathy, G., Barford, P., Nowak, R.

“…Accurate and timely identification of the router-level topology of the Internet is one of the major unresolved problems in Internet research. Topology recovery…”
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A Graph-Based Approach to Boundary Estimation With Mobile Sensors by Stalley, Sean O., Wang, Dingyu, Dasarathy, Gautam, Lipor, John

“…We consider the problem of adaptive sampling for boundary estimation, where the goal is to identify the two-dimensional spatial extent of a phenomenon of…”
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Sketched covariance testing: A compression-statistics tradeoff by Dasarathy, Gautam, Shah, Parikshit, Baraniuk, Richard G.

“…Hypothesis testing of covariance matrices is an important problem in multivariate analysis. Given n data samples and a covariance matrix ∑ 0 , the goal is to…”
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