Multiresolution graph transformers and wavelet positional encoding for learning long-range and hierarchical structures von Ngo, Nhat Khang, Hy, Truong Son, Kondor, Risi

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Deep learning for automated classification and characterization of amorphous materials von Swanson, Kirk, Trivedi, Shubhendu, Lequieu, Joshua, Swanson, Kyle, Kondor, Risi

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Gaussian approximation potentials: the accuracy of quantum mechanics, without the electrons von Bartók, Albert P, Payne, Mike C, Kondor, Risi, Csányi, Gábor

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Speeding Up Learning Quantum States Through Group Equivariant Convolutional Quantum Ansätze von Zheng, Han, Li, Zimu, Liu, Junyu, Strelchuk, Sergii, Kondor, Risi

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Multiresolution equivariant graph variational autoencoder von Hy, Truong Son, Kondor, Risi

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Unifying O(3) equivariant neural networks design with tensor-network formalism von Li, Zimu, Pengmei, Zihan, Zheng, Han, Thiede, Erik, Liu, Junyu, Kondor, Risi

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A community-powered search of machine learning strategy space to find NMR property prediction models von Bratholm, Lars A, Gerrard, Will, Anderson, Brandon, Bai, Shaojie, Choi, Sunghwan, Dang, Lam, Hanchar, Pavel, Howard, Addison, Kim, Sanghoon, Kolter, Zico, Kondor, Risi, Kornbluth, Mordechai, Lee, Youhan, Lee, Youngsoo, Mailoa, Jonathan P, Nguyen, Thanh Tu, Popovic, Milos, Rakocevic, Goran, Reade, Walter, Song, Wonho, Stojanovic, Luka, Thiede, Erik H, Tijanic, Nebojsa, Torrubia, Andres, Willmott, Devin, Butts, Craig P, Glowacki, David R

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On representing chemical environments von Bartók, Albert P., Kondor, Risi, Csányi, Gábor

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Graph neural networks for biochemistry that incorporate substructure von Thiede, Erik H., Zhou, Wenda, Kondor, Risi

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Predicting molecular properties with covariant compositional networks von Hy, Truong Son, Trivedi, Shubhendu, Pan, Horace, Anderson, Brandon M., Kondor, Risi

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Kernels and regularization on graphs von SMOLA, Alexander J, KONDOR, Risi

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Bhattacharyya and expected likelihood kernels von JEBARA, Tony, KONDOR, Risi

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Steerable Transformers von Kundu, Soumyabrata, Kondor, Risi

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Erratum: On representing chemical environments [Phys. Rev. B 87 , 184115 (2013)] von Bartók, Albert P., Kondor, Risi, Csányi, Gábor

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Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics von Hy, Truong Son, Khang, Thieu, Kondor, Risi

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N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials von Kondor, Risi

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Sign Rank Limitations for Inner Product Graph Decoders von Lee, Su Hyeong, Zhang, Qingqi, Kondor, Risi

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P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks von Sun, Tianyi, Hands, Andrew, Kondor, Risi

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Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs von Hy, Truong Son, Kondor, Risi

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Multiresolution Equivariant Graph Variational Autoencoder von Hy, Truong Son, Kondor, Risi

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