Publication

Modeling Individual and Group Actions in Meetings With Layered HMMs

Related publications (32)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Modeling Individual and Group Actions in Meetings With Layered HMMs

Graph Chatbot

Chat with Graph Search

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Sparse autoregressive neural networks for classical spin systems

Generalization of Scaled Deep ResNets in the Mean-Field Regime

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Random matrix methods for high-dimensional machine learning models

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Evaluation of Interface and Residual Strain of NiTi Layer Deposited on NiTiX Substrate by Laser Powder Bed Fusion

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms