Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework by Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve Jiang, Dan Nguyen

“…Machine Learning: Science and Technology…”
Get full text

Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks by Ayush Khot, Xiwei Wang, Avik Roy, Volodymyr Kindratenko, Mark S Neubauer

“…Machine Learning: Science and Technology…”
Get full text

A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information by Simone Martino, Domiziano Doria, Chiara Lionello, Matteo Becchi, Giovanni M Pavan

“…Machine Learning: Science and Technology…”
Get full text

Exploring the energy landscape of RBMs: reciprocal space insights into bosons, hierarchical learning and symmetry breaking by J Quetzalcóatl Toledo-Marin, Anindita Maiti, Geoffrey C Fox, Roger G Melko

“…Machine Learning: Science and Technology…”
Get full text

Randomized tensor network reservoir computing: validity and learnability phase transitions by Shinji Sato, Daiki Sasaki, Chih-Chieh Chen, Kodai Shiba, Tomah Sogabe

“…Machine Learning: Science and Technology…”
Get full text

Characterizing out-of-distribution generalization of neural networks: application to the disordered Su–Schrieffer–Heeger model by Kacper Cybiński, Marcin Płodzień, Michał Tomza, Maciej Lewenstein, Alexandre Dauphin, Anna Dawid

“…Machine Learning: Science and Technology…”
Get full text

Is tokenization needed for masked particle modeling? by Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy

“…Machine Learning: Science and Technology…”
Get full text

Learning from topology: cosmological parameter estimation from the large-scale structure by Jacky H T Yip, Adam Rouhiainen, Gary Shiu

“…Machine Learning: Science and Technology…”
Get full text

Noise classification in three-level quantum networks by Machine Learning by Shreyasi Mukherjee, Dario Penna, Fabio Cirinnà, Mauro Paternostro, Elisabetta Paladino, Giuseppe Falci, Luigi Giannelli

“…Machine Learning: Science and Technology…”
Get full text

rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA by Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C Therrien

“…Machine Learning: Science and Technology…”
Get full text

Large language models for causal hypothesis generation in science by Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls

“…Machine Learning: Science and Technology…”
Get full text

Exploring the nexus of many-body theories through neural network techniques: the tangent model by Senwei Liang, Karol Kowalski, Chao Yang, Nicholas P Bauman

“…Machine Learning: Science and Technology…”
Get full text

Architecture-aware minimization (A2M): how to find flat minima in neural architecture search by Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

“…Machine Learning: Science and Technology…”
Get full text

Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks by Chia-Tso Lai, Carsten Blank, Peter Schmelcher, Rick Mukherjee

“…Machine Learning: Science and Technology…”
Get full text

Multi-objective Bayesian optimization of eco-friendly gas mixtures for resistive plate chambers by Pit Bechtold, Dario Stocco, Christian M Franck

“…Machine Learning: Science and Technology…”
Get full text

LTAU-FF: Loss Trajectory Analysis for Uncertainty in atomistic Force Fields by Joshua A Vita, Amit Samanta, Fei Zhou, Vincenzo Lordi

“…Machine Learning: Science and Technology…”
Get full text

Impact of data bias on machine learning for crystal compound synthesizability predictions by Ali Davariashtiyani, Busheng Wang, Samad Hajinazar, Eva Zurek, Sara Kadkhodaei

“…Machine Learning: Science and Technology…”
Get full text

Machine learning approach to reconstruct density matrices from quantum marginals by Daniel Uzcategui-Contreras, Antonio Guerra, Sebastian Niklitschek, Aldo Delgado

“…Machine Learning: Science and Technology…”
Get full text

Nearest-neighbors neural network architecture for efficient sampling of statistical physics models by Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi

“…Machine Learning: Science and Technology…”
Get full text

Benchmarking universal machine learning interatomic potentials for rapid analysis of inelastic neutron scattering data by Bowen Han, Yongqiang Cheng

“…Machine Learning: Science and Technology…”
Get full text