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Large-scale Foundation Models and Generative AI for BigData Neuroscience

Large-scale Foundation Models and Generative AI for BigData Neuroscience

27 October 2023
Ran Wang
Zhe Sage Chen
    MedIm
    AI4CE
    LRM
ArXivPDFHTML

Papers citing "Large-scale Foundation Models and Generative AI for BigData Neuroscience"

5 / 5 papers shown
Title
Natural scene reconstruction from fMRI signals using generative latent
  diffusion
Natural scene reconstruction from fMRI signals using generative latent diffusion
Furkan Ozcelik
Rufin VanRullen
DiffM
99
42
0
09 Mar 2023
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
Nora Hollenstein
Cédric Renggli
B. Glaus
Maria Barrett
M. Troendle
N. Langer
Ce Zhang
63
35
0
17 Feb 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
202
0
28 Jan 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,256
0
09 Jun 2011
1