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Haim Avron
- > Home > Persons > Haim Avron
Publications
- 2024
- [i41]Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, O. Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh:
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR abs/2401.13754 (2024) - 2022
- [i36]Paz Fink Shustin, Shashanka Ubaru, Vasileios Kalantzis, Lior Horesh, Haim Avron:
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty. CoRR abs/2202.05063 (2022) - 2021
- [c21]Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron:
Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC 2021: 1-7 - [c19]Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron:
Dynamic Graph Convolutional Networks Using the Tensor M-Product. SDM 2021: 729-737 - 2020
- [i26]Misha E. Kilmer, Lior Horesh, Haim Avron, Elizabeth Newman:
Tensor-Tensor Products for Optimal Representation and Compression. CoRR abs/2001.00046 (2020) - 2019
- [i18]Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron:
Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs. CoRR abs/1910.07643 (2019) - 2018
- [j16]Gal Shulkind, Lior Horesh, Haim Avron:
Experimental Design for Nonparametric Correction of Misspecified Dynamical Models. SIAM/ASA J. Uncertain. Quantification 6(2): 880-906 (2018) - [i14]Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer:
Stable Tensor Neural Networks for Rapid Deep Learning. CoRR abs/1811.06569 (2018) - 2015
- [c12]Haim Avron, Lior Horesh:
Community Detection Using Time-Dependent Personalized PageRank. ICML 2015: 1795-1803
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last updated on 2024-03-03 00:11 CET by the dblp team
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