Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models

9 June 2023

Papers citing "Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models"

5 / 5 papers shown

Title
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 62 1 0 27 Feb 2025
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images Sichen Zhu Yuchen Zhu Molei Tao Peng-Chao Qiu MedIm 29 0 0 28 Jan 2025
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting Youngsuk Park Danielle C. Maddix Franccois-Xavier Aubet Kelvin K. Kan Jan Gasthaus Yuyang Wang UQCV AI4TS 84 37 0 12 Nov 2021
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters D. Kobak Wieland Brendel C. Constantinidis C. Feierstein Adam Kepecs Z. Mainen R. Romo Xue-Lian Qi N. Uchida C. Machens 32 462 0 22 Oct 2014