Inverse Problems Leveraging Pre-trained Contrastive Representations

14 October 2021

Papers citing "Inverse Problems Leveraging Pre-trained Contrastive Representations"

7 / 7 papers shown

Title
End-to-End Mineral Exploration with Artificial Intelligence and Ambient Noise Tomography Jack Muir Gerrit Olivier Anthony Reid 24 0 0 22 Mar 2024
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired Kazuya Ohata Shunsuke Kitada Hitoshi Iyatomi 19 0 0 17 Nov 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification Ruoxi Jiang Rebecca Willett 25 6 0 03 Nov 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 28 272 0 17 Jun 2022
Online Deep Equilibrium Learning for Regularization by Denoising Jiaming Liu Xiaojian Xu Weijie Gan Shirin Shoushtari Ulugbek S. Kamilov 34 26 0 25 May 2022
Extract Free Dense Labels from CLIP Chong Zhou Chen Change Loy Bo Dai VLM CLIP 45 455 0 02 Dec 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology Rahul Ghosh Arvind Renganathan Kshitij Tayal Xiang Li A. Khandelwal X. Jia C. Duffy J. Neiber Vipin Kumar 39 23 0 14 Sep 2021