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Sidhant Misra

Discrete distributions are learnable from metastable samples

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Oct 17, 2024
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Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach

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Oct 04, 2024
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Data-Efficient Power Flow Learning for Network Contingencies

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Oct 06, 2023
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Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes

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Aug 15, 2023
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DNN-based Policies for Stochastic AC OPF

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Dec 04, 2021
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Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics

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Apr 02, 2021
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Learning Continuous Exponential Families Beyond Gaussian

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Feb 18, 2021
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Learning of Discrete Graphical Models with Neural Networks

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Jun 21, 2020
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Tractable learning in under-excited power grids

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May 04, 2020
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Efficient Learning of Discrete Graphical Models

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Feb 02, 2019
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