Francesco Alesiani

1. PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
   2022/10/13 by Makoto Takamoto, Takamoto, Makoto, Timothy Praditia +11 · 63 citations
   Computer Science · Materials Science · Physics and Astronomy · #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks
2. Learning Neural PDE Solvers with Parameter-Guided Channel Attention
   2023/04/27 by Makoto Takamoto, Francesco Alesiani, Takamoto, Makoto +3 · 7 citations
   Engineering · Physics and Astronomy · #Computational Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Fluid Dynamics (physics.flu-dyn) #Geophysics (physics.geo-ph) #Heat Transfer and Optimization #Machine Learning (cs.LG) #Model Reduction and Neural Networks #and Science (cs.CE)
3. Measuring Dependence with Matrix-based Entropy Functional
   2021/01/25 by Shujian Yu, Francesco Alesiani, Yu, Shujian +7 · 4 citations
   Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Mechanics and Entropy #Statistical Methods and Inference
4. Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
   2024/05/23 by Viktor Zaverkin, Zaverkin, Viktor, Francesco Alesiani +13 · 1 voice · 5 citations
   Computer Science · Mathematics · #Tensor decomposition and applications #Wireless Communication Networks Research #cs.LG #physics.comp-ph
5. Principle of Relevant Information for Graph Sparsification
   2022/05/31 by Shujian Yu, Francesco Alesiani, Yu, Shujian +7 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
6. Efficient and Scalable Multi-task Regression on Massive Number of Tasks
   2018/11/14 by Xiao He, Francesco Alesiani, He, Xiao +3 · 1 citation
   Computer Science · #Advanced Technologies in Various Fields #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
7. Hyperspatial Sampling: Circumventing Free-Energy Barriers via Replica Exchange with Extra Dimensions
   2026/07/24 by Henrik Christiansen, Matheus Ferraz, Takashi Maruyama +1
   #physics.comp-ph #cond-mat.soft #cond-mat.stat-mech #physics.chem-ph