Treister, Eran
- Wavelet Convolutions for Large Receptive Fields
2024/07/08 by Finder, Shahaf E., Amoyal, Roy, Treister, Eran +1 · 18 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
2021/08/04 by Moshe Eliasof, Eldad Haber, Eliasof, Moshe +3 · 8 citations
Physics and Astronomy · Computer Science · Materials Science · #Model Reduction and Neural Networks #Advanced Graph Neural Networks #Machine Learning in Materials Science
- Multigrid-augmented deep learning preconditioners for the Helmholtz equation
2022/03/14 by Azulay, Yael, Treister, Eran · 4 citations
#Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #and Science (cs.CE)
- Graph Positional Encoding via Random Feature Propagation
2023/03/06 by Eliasof, Moshe, Frasca, Fabrizio, Bevilacqua, Beatrice +3 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- jInv -- a flexible Julia package for PDE parameter estimation
2016/06/23 by Ruthotto, Lars, Treister, Eran, Haber, Eldad · 2 citations
#FOS: Computer and information sciences #Mathematical Software (cs.MS)
- Feature Transportation Improves Graph Neural Networks
2023/07/29 by Moshe Eliasof, Eldad Haber, Eliasof, Moshe +3 · 4 citations
Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Machine Learning and ELM
- Wavelet Feature Maps Compression for Image-to-Image CNNs
2022/05/24 by Shahaf E. Finder, Yair Zohav, Finder, Shahaf E. +5 · 2 citations
Computer Science · Engineering · #Advanced Vision and Imaging #Advanced Image Processing Techniques #Image Processing Techniques and Applications
- IMEXnet: A Forward Stable Deep Neural Network
2019/03/06 by Haber, Eldad, Lensink, Keegan, Treister, Eran +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso
2022/05/20 by Gal Shalom, Eran Treister, Shalom, Gal +3 · 1 citation
Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Image and Signal Denoising Methods
- Towards Croppable Implicit Neural Representations
2024/09/28 by Ashkenazi, Maor, Treister, Eran · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- NeRN -- Learning Neural Representations for Neural Networks
2022/12/27 by Maor Ashkenazi, Zohar Rimon, Ashkenazi, Maor +11 · 1 citation
Computer Science · #Advanced Vision and Imaging #Advanced Neural Network Applications #Optical measurement and interference techniques
- LFA-tuned matrix-free multigrid method for the elastic Helmholtz equation
2023/07/06 by Rachel Yovel, Yovel, Rachel, Eran Treister +1 · 2 citations
Computer Science · Physics and Astronomy · Engineering · #Matrix Theory and Algorithms #Electromagnetic Scattering and Analysis #Advanced Numerical Methods in Computational Mathematics
- DRIP: Deep Regularizers for Inverse Problems
2023/03/30 by Eliasof, Moshe, Haber, Eldad, Treister, Eran · 1 citation
#Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
- Global-Local Graph Neural Networks for Node-Classification
2024/06/16 by Eliasof, Moshe, Treister, Eran · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Graph Neural Reaction Diffusion Models
2024/06/16 by Moshe Eliasof, Eldad Haber, Eliasof, Moshe +3 · 1 citation
Computer Science · Biochemistry, Genetics and Molecular Biology · #Neural Networks and Applications #Computational Drug Discovery Methods #Gene Regulatory Network Analysis
- Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
2025/03/25 by Gal, Eshed, Eliasof, Moshe, Schönlieb, Carola-Bibiane +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)