The Information Bottleneck Problem and Its Applications in Machine Learning by Goldfeld, Ziv, Polyanskiy, Yury

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Information Storage in the Stochastic Ising Model at Low Temperature by Goldfeld, Ziv, Bresler, Guy, Polyanskiy, Yury

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Information Storage in the Stochastic Ising Model at Low Temperature by Goldfeld, Ziv, Bresler, Guy, Polyanskiy, Yury

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Information Storage in the Stochastic Ising Model by Goldfeld, Ziv, Bresler, Guy, Polyanskiy, Yury

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Optimality of the Plug-in Estimator for Differential Entropy Estimation under Gaussian Convolutions by Goldfeld, Ziv, Greenewald, Kristjan, Weed, Jonathan, Polyanskiy, Yury

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Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation by Goldfeld, Ziv, Greenewald, Kristjan, Niles-Weed, Jonathan, Polyanskiy, Yury

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Design of Discrete Constellations for Peak-Power-Limited complex Gaussian Channels by Huleihel, Wasim, Goldfeld, Ziv, Koch, Tobias, Madiman, Mokshay, Medard, Muriel

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Design of Discrete Constellations for Peak-Power-Limited complex Gaussian Channels by Huleihel, Wasim, Goldfeld, Ziv, Koch, Tobias, Madiman, Mokshay, Medard, Muriel

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Estimating Information Flow in Deep Neural Networks by Goldfeld, Ziv, van den Berg, Ewout, Greenewald, Kristjan, Melnyk, Igor, Nguyen, Nam, Kinsgbury, Brian, Polyanskiy, Yury

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