arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Alessandro Favero: The Physics of Data and Tasks: Theories of Locality and Compositionality in Deep Learning https://arxiv.org/abs/2510.06106 https://arxiv.org/pdf/2510.06106 https://arxiv.org/html/2510.06106
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
condmatstatmech-bt.bsky.social
Vladislav Egorov, Stepan Osipov: Analytic expressions for estimation of the critical properties of inhomogeneous Ising models https://arxiv.org/abs/2510.05940 https://arxiv.org/pdf/2510.05940 https://arxiv.org/html/2510.05940
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Lone, Tang, Florica, He, Xu, Zhang, Setti: Field Free Spin-Orbit Torque Controlled Synapse and Stochastic Neuron Devices for Spintronic Boltzmann Neural Networks https://arxiv.org/abs/2510.05616 https://arxiv.org/pdf/2510.05616 https://arxiv.org/html/2510.05616
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Roni Chatterjee, Smarajit Karmakar, Muhittin Mungan, Damien Vandembroucq: Memory behavior of a randomly driven model glass https://arxiv.org/abs/2510.05537 https://arxiv.org/pdf/2510.05537 https://arxiv.org/html/2510.05537
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Brenden Roberts, Jin Ming Koh, Yi Tan, Norman Y. Yao: Cored product codes for quantum self-correction in three dimensions https://arxiv.org/abs/2510.05479 https://arxiv.org/pdf/2510.05479 https://arxiv.org/html/2510.05479
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Joel Wendin, Erik G. Larsson, Claudio Altafini: Computing frustration and near-monotonicity in deep neural networks https://arxiv.org/abs/2510.05286 https://arxiv.org/pdf/2510.05286 https://arxiv.org/html/2510.05286
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Federico Battiston, Christian Bick, Maxime Lucas, Ana P. Mill\'an, Per Sebastian Skardal, Yuanzhao Zhang: Collective dynamics on higher-order networks https://arxiv.org/abs/2510.05253 https://arxiv.org/pdf/2510.05253 https://arxiv.org/html/2510.05253
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[2025-10-08 Wed (UTC), no new articles found for cond-matdis-nn Disordered Systems and Neural Networks]
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Juliane U. Klamser, Ludovic Berthier: Directed percolation transition to active turbulence driven by non-reciprocal forces https://arxiv.org/abs/2510.04575 https://arxiv.org/pdf/2510.04575 https://arxiv.org/html/2510.04575
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Nicolau Sobrosa, Miguel Gon\c{c}alves, Bruno Amorim, Eduardo V. Castro, Pedro Ribeiro: Ground state and excitations of quasiperiodic 1D narrow-band moir\'e systems: a mean field approach https://arxiv.org/abs/2510.04132 https://arxiv.org/pdf/2510.04132 https://arxiv.org/html/2510.04132
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[2025-10-07 Tue (UTC), 1 new article found for cond-matdis-nn Disordered Systems and Neural Networks]
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Ang-Kun Wu, Louis Primeau, Jingtao Zhang, Kai Sun, Yang Zhang, Shi-Zeng Lin: Modeling Quantum Geometry for Fractional Chern Insulators with unsupervised learning https://arxiv.org/abs/2510.03018 https://arxiv.org/pdf/2510.03018 https://arxiv.org/html/2510.03018
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Mandyam, Wang, Wang, Chen, Jayarama, Gupta, Riesel, Levitas, Laumann, Yao: Uncovering origins of heterogeneous superconductivity in La$_3$Ni$_2$O$_7$ using quantum sensors https://arxiv.org/abs/2510.02429 https://arxiv.org/pdf/2510.02429 https://arxiv.org/html/2510.02429
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[2025-10-06 Mon (UTC), no new articles found for cond-matdis-nn Disordered Systems and Neural Networks]
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Jorge M. Escobar-Agudelo, Rui Aquino, Danilo B. Liarte: Effective-medium theory for elastic systems with correlated disorder https://arxiv.org/abs/2510.02090 https://arxiv.org/pdf/2510.02090 https://arxiv.org/html/2510.02090
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Sota Nishiyama, Masaaki Imaizumi: Precise Dynamics of Diagonal Linear Networks: A Unifying Analysis by Dynamical Mean-Field Theory https://arxiv.org/abs/2510.01930 https://arxiv.org/pdf/2510.01930 https://arxiv.org/html/2510.01930
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Aritra Das, Joseph T. Iosue, Victor V. Albert: Quantum-inspired Benchmark for Estimating Intrinsic Dimension https://arxiv.org/abs/2510.01335 https://arxiv.org/pdf/2510.01335 https://arxiv.org/html/2510.01335
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks
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Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou: Combining complex Langevin dynamics with score-based and energy-based diffusion models https://arxiv.org/abs/2510.01328 https://arxiv.org/pdf/2510.01328 https://arxiv.org/html/2510.01328
condmatdisnn-bot.bsky.social
[2025-10-03 Fri (UTC), no new articles found for cond-matdis-nn Disordered Systems and Neural Networks]
Reposted by arXiv cond-mat.dis-nn Disordered Systems and Neural Networks