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How do Variational Autoencoders Learn? Insights from Representational
  Similarity

How do Variational Autoencoders Learn? Insights from Representational Similarity

17 May 2022
Lisa Bonheme
M. Grzes
    CoGe
    SSL
    DRL
ArXivPDFHTML

Papers citing "How do Variational Autoencoders Learn? Insights from Representational Similarity"

11 / 11 papers shown
Title
Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
Souhail Hadgi
Luca Moschella
Andrea Santilli
Diego Gomez
Qixing Huang
Emanuele Rodolà
Simone Melzi
M. Ovsjanikov
40
0
0
07 Mar 2025
Understanding the Emergence of Multimodal Representation Alignment
Understanding the Emergence of Multimodal Representation Alignment
Megan Tjandrasuwita
Chanakya Ekbote
Liu Ziyin
Paul Pu Liang
50
1
0
22 Feb 2025
Latent Space Translation via Inverse Relative Projection
Latent Space Translation via Inverse Relative Projection
Valentino Maiorca
Luca Moschella
Marco Fumero
Francesco Locatello
Emanuele Rodolà
34
1
0
21 Jun 2024
Latent Functional Maps
Latent Functional Maps
Marco Fumero
Marco Pegoraro
Valentino Maiorca
Francesco Locatello
Emanuele Rodolà
27
1
0
20 Jun 2024
Do Vision and Language Encoders Represent the World Similarly?
Do Vision and Language Encoders Represent the World Similarly?
Mayug Maniparambil
Raiymbek Akshulakov
Y. A. D. Djilali
Sanath Narayan
M. Seddik
K. Mangalam
Noel E. O'Connor
VLM
21
11
0
10 Jan 2024
Latent Space Translation via Semantic Alignment
Latent Space Translation via Semantic Alignment
Valentino Maiorca
Luca Moschella
Antonio Norelli
Marco Fumero
Francesco Locatello
Emanuele Rodolà
24
20
0
01 Nov 2023
Deconstructing deep active inference
Deconstructing deep active inference
Théophile Champion
Marek Grze's
Lisa Bonheme
Howard L. Bowman
AI4CE
32
7
0
02 Mar 2023
Bootstrapping Parallel Anchors for Relative Representations
Bootstrapping Parallel Anchors for Relative Representations
Irene Cannistraci
Luca Moschella
Valentino Maiorca
Marco Fumero
Antonio Norelli
Emanuele Rodolà
28
4
0
01 Mar 2023
Relative representations enable zero-shot latent space communication
Relative representations enable zero-shot latent space communication
Luca Moschella
Valentino Maiorca
Marco Fumero
Antonio Norelli
Francesco Locatello
Emanuele Rodolà
19
94
0
30 Sep 2022
Be More Active! Understanding the Differences between Mean and Sampled
  Representations of Variational Autoencoders
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders
Lisa Bonheme
M. Grzes
DRL
11
6
0
26 Sep 2021
Investigating Multilingual NMT Representations at Scale
Investigating Multilingual NMT Representations at Scale
Sneha Kudugunta
Ankur Bapna
Isaac Caswell
N. Arivazhagan
Orhan Firat
LRM
136
120
0
05 Sep 2019
1