Official PyTorch implementation of the paper: Flow Matching in Latent Space
Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433
NCTU(NYCU) Deep Learning and Practice Spring 2021
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
Bayesian adaptive calibration and optimal design (BACON) paper accepted at NeurIPS 2024
This repository contains the code for climate variable downscaling using conditional normalizing flows. Work done during internship @ MILA AI Research. 🛰️
WISE: full-Waveform variational Inference via Subsurface Extensions
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