Search Results - "Machine Learning: Science and Technology"

Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Indra Priyadarsini, Seiji Takeda

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Mamba time series forecasting with uncertainty quantification by Pedro Pessoa, Paul Campitelli, Douglas P Shepherd, S Banu Ozkan, Steve Pressé

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Ordered embeddings and intrinsic dimensionalities with information-ordered bottlenecks by Matthew Ho, Xiaosheng Zhao, Benjamin D Wandelt

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FFTL-Net: a network for the classification of skin diseases based on feature fusion and transfer learning by Xiaowei Song, Yurong Mei, Zhilei Zhao, Hao Chang, Lina Han, Hui Wang, Xinyi Zhang, Guoqiang Wang

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Variational autoencoders for at-source data reduction and anomaly detection in high energy particle detectors by Alexander Yue, Haoyi Jia, Julia Gonski

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VISION: a modular AI assistant for natural human-instrument interaction at scientific user facilities by Shray Mathur, Noah van der Vleuten, Kevin G Yager, Esther H R Tsai

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Considering the ethics of large machine learning models in the chemical sciences by Evan Walter Clark Spotte-Smith

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Bridging text and crystal structures: literature-driven contrastive learning for materials science by Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Kotaro Saito, Naoya Chiba, Yoshitaka Ushiku, Kanta Ono

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Collective variables of neural networks: empirical time evolution and scaling laws by Samuel Tovey, Sven Krippendorf , Michael Spannowsky, Konstantin Nikolaou, Christian Holm

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Neural architecture codesign for fast physics applications by Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier Duarte

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Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures by Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane

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Lightweight ECG signal classification via linear law-based feature extraction by Péter Pósfay, Marcell T Kurbucz, Péter Kovács, Antal Jakovác

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Training multi-layer binary neural networks with random local binary error signals by Luca Colombo, Fabrizio Pittorino, Manuel Roveri

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Aspen Open Jets: unlocking LHC data for foundation models in particle physics by Oz Amram, Luca Anzalone, Joschka Birk, Darius A Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-Gonzalez, David Shih

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Outlook towards deployable continual learning for particle accelerators by Kishansingh Rajput, Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram

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