Homophily modulates double descent generalization in graph convolution networks von Shi, Cheng, Pan, Liming, Hu, Hong, Dokmanić, Ivan

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Acoustic echoes reveal room shape von Dokmanić, Ivan, Parhizkar, Reza, Walther, Andreas, Lu, Yue M., Vetterli, Martin

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Raking the Cocktail Party von Dokmanic, Ivan, Scheibler, Robin, Vetterli, Martin

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Concentration of the Frobenius Norm of Generalized Matrix Inverses von Dokmanić, Ivan, Gribonval, Rémi

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Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown View Tomography von Huang, Shuai, Zehni, Mona, Dokmanić, Ivan, Zhao, Zhizhen

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Conditional Injective Flows for Bayesian Imaging von Khorashadizadeh, AmirEhsan, Kothari, Konik, Salsi, Leonardo, Harandi, Ali Aghababaei, de Hoop, Maarten, Dokmanic, Ivan

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Can one hear the shape of a room: The 2-D polygonal case von Dokmanic, Ivan, Lu, Yue M., Vetterli, Martin

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Efficient Approximate Scaling of Spherical Functions in the Fourier Domain With Generalization to Hyperspheres von DOKMANIC, Ivan, PETRINOVIC, Davor

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Injectivity of ReLU networks: Perspectives from statistical physics von Maillard, Antoine, Bandeira, Afonso S., Belius, David, Dokmanić, Ivan, Nakajima, Shuta

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Acoustic DoA Estimation by One Unsophisticated Sensor von El Badawy, Dalia, Dokmanić, Ivan, Vetterli, Martin

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Sampling and reconstruction of time-varying atmospheric emissions von Ranieri, J., Dokmanic, I., Chebira, A., Vetterli, M.

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Total Least Squares Phase Retrieval von Gupta, Sidharth, Dokmanic, Ivan

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On Procrustes Analysis in Hyperbolic Space von Tabaghi, Puoya, Dokmanic, Ivan

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Solving Complex Quadratic Systems with Full-Rank Random Matrices von Huang, Shuai, Gupta, Sidharth, Dokmanic, Ivan

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The Fastest [Formula Omitted] Prox in the West von Bejar, Benjamin, Dokmanic, Ivan, Vidal, Rene

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Shapes From Echoes: Uniqueness From Point-to-Plane Distance Matrices von Krekovic, Miranda, Dokmanic, Ivan, Vetterli, Martin

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Permutations Unlabeled beyond Sampling Unknown von Dokmanić, Ivan

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Joint Graph Rewiring and Feature Denoising via Spectral Resonance von Linkerhägner, Jonas, Shi, Cheng, Dokmanić, Ivan

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A spring-block theory of feature learning in deep neural networks von Shi, Cheng, Pan, Liming, Dokmanić, Ivan

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Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling von Chaman, Anadi, Dokmanić, Ivan

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