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Conformal Prediction for Time Series with Modern Hopfield Networks

Conformal Prediction for Time Series with Modern Hopfield Networks

22 March 2023
Andreas Auer
M. Gauch
D. Klotz
Sepp Hochreiter
    AI4TS
ArXivPDFHTML

Papers citing "Conformal Prediction for Time Series with Modern Hopfield Networks"

9 / 9 papers shown
Title
Conformal Prediction: A Data Perspective
Conformal Prediction: A Data Perspective
Xiaofan Zhou
Baiting Chen
Yu Gui
Lu Cheng
42
2
0
09 Oct 2024
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Jerry Yao-Chieh Hu
Pei-Hsuan Chang
Haozheng Luo
Hong-Yu Chen
Weijian Li
Wei-Po Wang
Han Liu
31
25
0
04 Apr 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Dennis Wu
Jerry Yao-Chieh Hu
Teng-Yun Hsiao
Han Liu
38
28
0
04 Apr 2024
Conformal PID Control for Time Series Prediction
Conformal PID Control for Time Series Prediction
Anastasios Nikolas Angelopoulos
Emmanuel J. Candes
R. Tibshirani
AI4TS
16
57
0
31 Jul 2023
Predictive Inference with Feature Conformal Prediction
Predictive Inference with Feature Conformal Prediction
Jiaye Teng
Chuan Wen
Dinghuai Zhang
Yoshua Bengio
Yang Gao
Yang Yuan
27
24
0
01 Oct 2022
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
G. Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLM
CLIP
190
101
0
21 Oct 2021
Conformal prediction for time series
Conformal prediction for time series
Chen Xu
Yao Xie
AI4TS
33
21
0
18 Oct 2020
Modern Hopfield Networks and Attention for Immune Repertoire
  Classification
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich
Bernhard Schafl
Hubert Ramsauer
Milena Pavlović
Lukas Gruber
...
Johannes Brandstetter
G. K. Sandve
Victor Greiff
Sepp Hochreiter
G. Klambauer
173
117
0
16 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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