Numerical Analysis · Mathematics
A linearly implicit and local energy-preserving scheme for the sine-Gordon equation based on the invariant energy quadratization approach
Chaolong Jiang, Wenjun Cai, Yushun Wang
2019-08-06
Machine Learning · Computer Science
Neutron Reflectometry by Gradient Descent
Max D. Champneys, Andrew J. Parnell, Philipp Gutfreund, Maximilian W. A. Skoda +3
2025-11-18
Numerical Analysis · Mathematics
Electrical Impedance Tomography with Deep Calder\'on Method
Siyu Cen, Bangti Jin, Kwancheol Shin, Zhi Zhou
2023-11-01
Quantum Physics · Physics
Quantum Reservoir Computing for Corrosion Prediction in Aerospace: A Hybrid Approach for Enhanced Material Degradation Forecasting
Akshat Tandon, James Brown, Kenny Heitritter, Tarini Hardikar +4
2025-05-30
Instrumentation and Detectors · Physics
On the Use of Neural Networks for Energy Reconstruction in High-granularity Calorimeters
N. Akchurin, C. Cowden, J. Damgov, A. Hussain +1
2022-01-05
Machine Learning · Computer Science
Latent Diffusion Energy-Based Model for Interpretable Text Modeling
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia +5
2023-10-06
Materials Science · Physics
Accurate computational prediction of core-electron binding energies in carbon-based materials: A machine-learning model combining density-functional theory and $\boldsymbol{GW}$
Dorothea Golze, Markus Hirvensalo, Patricia Hernández-León, Anja Aarva +5
2022-07-14
Machine Learning · Computer Science
Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels
Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis
2021-06-03
Image and Video Processing · Electrical Eng. & Systems
Efficient Image Restoration via Latent Consistency Flow Matching
Elad Cohen, Idan Achituve, Idit Diamant, Arnon Netzer +1
2025-11-17
Computation and Language · Computer Science
IrEne: Interpretable Energy Prediction for Transformers
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian +1
2021-06-03
Numerical Analysis · Mathematics
Machine-precision energy conservative reduced models for Lagrangian hydrodynamics by quadrature methods
Chris Vales, Siu Wun Cheung, Dylan M. Copeland, Youngsoo Choi
2026-03-06
Machine Learning · Computer Science
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning
Paul Whatmough, Chuteng Zhou, Patrick Hansen, Matthew Mattina
2019-02-28
Cosmology and Nongalactic Astrophysics · Physics
Generative Models of 21cm EoR Lightcones with 3D Scattering Transforms
Ian Hothi, Erwan Allys, Benoit Semelin, Romain Meriot
2026-01-28
Instrumentation and Detectors · Physics
Extracting low energy signals from raw LArTPC waveforms using deep learning techniques -- A proof of concept
Lorenzo Uboldi, David Ruth, Michael Andrews, Michael H. L. S. Wang +3
2022-02-09