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title
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site name
author
Israel Goytom
updated
2025-12-29 15:07:15
raw text
HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion Michel Deudon* , Alfredo Kalaitzis*, Md Rifat Arefin, Israel Goytom , Kris Sankaran , Zhichao Lin, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio Submitted to ICLR , 2020 code / amazing blog We introduce HighRes-Net, a recursive neural network for MFSR, as well as shiftNet-Lanczos, a neural network for image registration. We discuss our cooperative learning setting and compare our results to state-of-the-art Single-Image Super-Resolution (SISR) baselines on the European Space Agency's Kelvin competition Forecasting Extremes in Time Series for Climate Change Israel Goytom , Kris Sankaran IWCI , 2019 code We propose an LSTM model with Gumbel-distributed errors, as one way to combine classical theory of extreme values with modern deep learning. Nanoscale...
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