Publications related to Conditional random field

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Alexandre Massoud Alahi, Mohamed Ossama Ahmed Abdelfattah, Mariam Ahmed Mahmoud Hegazy Hassan

Current transformer-based skeletal action recognition models tend to focus on a limited set of joints and low-level motion patterns to predict action classes. This results in significant performance degradation under small skeleton perturbations or changin ...

2024

Data and scripts for "Unraveling secondary ice production in winter orographic clouds through a synergy of in-situ observations, remote sensing and modeling"

Athanasios Nenes, Alexis Berne, Satoshi Takahama, Georgia Sotiropoulou, Paraskevi Georgakaki, Romanos Foskinis, Kunfeng Gao, Anne-Claire Marie Billault--Roux

This repository contains field observations and processed data from the Weather Research and Forecasting (WRF) model simulations and the Cloud Resolving Model Radar Simulator (CR-SIM), alongside scripts designed to reproduce the figures presented in the pa ...

Zenodo2024

Robust Outlier Rejection for 3D Registration with Variational Bayes

Mathieu Salzmann, Jiancheng Yang, Zheng Dang, Zhen Wei, Haobo Jiang

Learning-based outlier (mismatched correspondence) rejection for robust 3D registration generally formulates the outlier removal as an inlier/outlier classification problem. The core for this to be successful is to learn the discriminative inlier/outlier f ...

Los Alamitos2023

An Ordinal Latent Variable Model of Conflict Intensity

Robert West

Measuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of '' who did what to whom '' micro-records that enable datadriven approaches to monitoring confl ...

Assoc Computational Linguistics-Acl2023

Parabolic stochastic PDEs on bounded domains with rough initial conditions: moment and correlation bounds

Le Chen, Cheuk Yin Lee, David Jean-Michel Candil

We consider nonlinear parabolic stochastic PDEs on a bounded Lipschitz domain driven by a Gaussian noise that is white in time and colored in space, with Dirichlet or Neumann boundary condition. We establish existence, uniqueness and moment bounds of the r ...

New York2023

Functional estimation of anisotropic covariance and autocovariance operators on the sphere

Victor Panaretos, Julien René Pierre Fageot, Matthieu Martin Jean-André Simeoni, Alessia Caponera

We propose nonparametric estimators for the second-order central moments of possibly anisotropic spherical random fields, within a functional data analysis context. We consider a measurement framework where each random field among an identically distribute ...

2022

Hiding in Plain Sight: The Issue of Hidden Variables

Yimon Aye, Mahdi Assari

Here we discuss "hidden variables", which are typically introduced during an experiment as a consequence of the application of two independent variables together to create a stimulus. With increased sophistication in modern chemical biology tools and relat ...

AMER CHEMICAL SOC2022

Mesoscopic modeling of hidden spiking neurons

Wulfram Gerstner, Shuqi Wang, Valentin Marc Schmutz

Can we use spiking neural networks (SNN) as generative models of multi-neuronal recordings, while taking into account that most neurons are unobserved? Modeling the unobserved neurons with large pools of hidden spiking neurons leads to severely underconstr ...

2022

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Conditional random field

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Data and scripts for "Unraveling secondary ice production in winter orographic clouds through a synergy of in-situ observations, remote sensing and modeling"

Robust Outlier Rejection for 3D Registration with Variational Bayes

An Ordinal Latent Variable Model of Conflict Intensity

Parabolic stochastic PDEs on bounded domains with rough initial conditions: moment and correlation bounds

Functional estimation of anisotropic covariance and autocovariance operators on the sphere

Hiding in Plain Sight: The Issue of Hidden Variables

Mesoscopic modeling of hidden spiking neurons

Atomic subgraphs and the statistical mechanics of networks

Graph Chatbot

Chat with Graph Search

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Data and scripts for "Unraveling secondary ice production in winter orographic clouds through a synergy of in-situ observations, remote sensing and modeling"

Robust Outlier Rejection for 3D Registration with Variational Bayes

MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning

Mesoscopic modeling of hidden spiking neurons

Atomic subgraphs and the statistical mechanics of networks

An Ordinal Latent Variable Model of Conflict Intensity

Parabolic stochastic PDEs on bounded domains with rough initial conditions: moment and correlation bounds

Functional estimation of anisotropic covariance and autocovariance operators on the sphere

Hiding in Plain Sight: The Issue of Hidden Variables