MLReal: Bridging the gap between training on synthetic data and real
data applications in machine learning

MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning

11 September 2021

Papers citing "MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning"

16 / 16 papers shown

Title
Comparative analysis of Realistic EMF Exposure Estimation from Low Density Sensor Network by Finite & Infinite Neural Networks Mohammed Mallik Laurent Clavier D. Gaillot 18 0 0 07 Apr 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting Guoqi Yu Yaoming Li Juncheng Wang Xiaoyu Guo Angelica I. Aviles-Rivero Tong Yang Shujun Wang AI4TS 44 0 0 24 Feb 2025
Bifurcation Identification for Ultrasound-driven Robotic Cannulation Cecilia G. Morales Dhruv Srikanth Jack H. Good K. Dufendach Artur Dubrawski 19 1 0 10 Sep 2024
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks Matthew Squires Xiaohui Tao Soman Elangovan R. Gururajan Haoran Xie Xujuan Zhou Yuefeng Li Rajendra Acharya 27 0 0 25 Apr 2024
D4D: An RGBD diffusion model to boost monocular depth estimation Lorenzo Papa Paolo Russo Irene Amerini MDE 19 2 0 12 Mar 2024
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark Lasse Hansen Nabeel Seedat M. Schaar Andrija Petrović 24 17 0 25 Oct 2023
Home Electricity Data Generator (HEDGE): An open-access tool for the generation of electric vehicle, residential demand, and PV generation profiles Flora Charbonnier Thomas Morstyn Malcolm McCulloch 11 4 0 02 Oct 2023
Joint Microseismic Event Detection and Location with a Detection Transformer Yuanyuan Yang C. Birnie T. Alkhalifah 17 1 0 16 Jul 2023
A prior regularized full waveform inversion using generative diffusion models Fu Wang Xinquan Huang T. Alkhalifah DiffM 23 25 0 22 Jun 2023
Microseismic source imaging using physics-informed neural networks with hard constraints Xinquan Huang T. Alkhalifah 20 7 0 09 Apr 2023
Transfer learning for self-supervised, blind-spot seismic denoising C. Birnie T. Alkhalifah OOD 23 17 0 25 Sep 2022
Deep Preconditioners and their application to seismic wavefield processing M. Ravasi 19 2 0 20 Jul 2022
A hybrid approach to seismic deblending: when physics meets self-supervision N. Luiken M. Ravasi C. Birnie 10 5 0 30 May 2022
StorSeismic: A new paradigm in deep learning for seismic processing R. Harsuko T. Alkhalifah 16 35 0 30 Apr 2022
The potential of self-supervised networks for random noise suppression in seismic data C. Birnie M. Ravasi T. Alkhalifah Sixiu Liu 11 55 0 15 Sep 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,696 0 15 Sep 2016