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Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework
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Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks
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A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information
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Exploring the energy landscape of RBMs: reciprocal space insights into bosons, hierarchical learning and symmetry breaking
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Randomized tensor network reservoir computing: validity and learnability phase transitions
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Characterizing out-of-distribution generalization of neural networks: application to the disordered Su–Schrieffer–Heeger model
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Is tokenization needed for masked particle modeling?
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Learning from topology: cosmological parameter estimation from the large-scale structure
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Noise classification in three-level quantum networks by Machine Learning
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rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA
Published 2025-01-01“…Machine Learning: Science and Technology…”
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Large language models for causal hypothesis generation in science
Published 2025-01-01“…Machine Learning: Science and Technology…”
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Exploring the nexus of many-body theories through neural network techniques: the tangent model
Published 2025-01-01“…Machine Learning: Science and Technology…”
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Architecture-aware minimization (A2M): how to find flat minima in neural architecture search
Published 2025-01-01“…Machine Learning: Science and Technology…”
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Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks
Published 2025-01-01“…Machine Learning: Science and Technology…”
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Multi-objective Bayesian optimization of eco-friendly gas mixtures for resistive plate chambers
Published 2025-01-01“…Machine Learning: Science and Technology…”
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LTAU-FF: Loss Trajectory Analysis for Uncertainty in atomistic Force Fields
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Impact of data bias on machine learning for crystal compound synthesizability predictions
Published 2024-01-01“…Machine Learning: Science and Technology…”
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Machine learning approach to reconstruct density matrices from quantum marginals
Published 2025-01-01“…Machine Learning: Science and Technology…”
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Nearest-neighbors neural network architecture for efficient sampling of statistical physics models
Published 2025-01-01“…Machine Learning: Science and Technology…”
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Benchmarking universal machine learning interatomic potentials for rapid analysis of inelastic neutron scattering data
Published 2025-01-01“…Machine Learning: Science and Technology…”
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