Dimension mixture model:  Group Mixing of Input Dimensions for Efficient Function Approximation

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Original language	English
Title of host publication	Workshop on Seeking Low-Dimensionality in Deep Neural Networks
Publication status	E-pub ahead of print - 5 Jan 2023
Event	Third Workshop on Seeking Low‑Dimensionality in Deep Neural Networks - Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates Duration: 3 Jan 2023 → 7 Jan 2023 Conference number: 3 https://slowdnn-workshop.github.io/

Conference	Third Workshop on Seeking Low‑Dimensionality in Deep Neural Networks
Abbreviated title	SLowDNN 2023
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	3/01/23 → 7/01/23
Internet address	https://slowdnn-workshop.github.io/

Cite this

@inproceedings{31b664f64f9f42708e7b8269e35d8da7,

title = "Dimension mixture model: Group Mixing of Input Dimensions for Efficient Function Approximation",

author = "Suman Sapkota and Binod Bhattarai",

year = "2023",

month = jan,

day = "5",

language = "English",

booktitle = "Workshop on Seeking Low-Dimensionality in Deep Neural Networks",

note = "Third Workshop on Seeking Low‑Dimensionality in Deep Neural Networks, SLowDNN 2023 ; Conference date: 03-01-2023 Through 07-01-2023",

url = "https://slowdnn-workshop.github.io/",

}

TY - GEN

T1 - Dimension mixture model

T2 - Third Workshop on Seeking Low‑Dimensionality in Deep Neural Networks

AU - Sapkota, Suman

AU - Bhattarai, Binod

N1 - Conference code: 3

PY - 2023/1/5

Y1 - 2023/1/5

UR - https://www.youtube.com/watch?v=G5niI4BxQbg&t=4s

M3 - Published conference contribution

BT - Workshop on Seeking Low-Dimensionality in Deep Neural Networks

Y2 - 3 January 2023 through 7 January 2023

ER -