ERD

Periodic Reporting for period 4 - E-DUALITY (Exploring Duality for Future Data-driven Modelling)

Project: E-DUALITY

Updated at: 01-11-2024

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Disentangled Representation Learning and Generation With Manifold Optimization

Project: E-DUALITY

Updated at: 13-06-2024

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Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Unbalanced Optimal Transport: A Unified Framework for Object Detection

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Nonlinear functional regression by functional deep neural network with kernel embedding

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Denoising modulo samples: k-NN regression and tightness of SDP relaxation

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

A Dual Formulation for Probabilistic Principal Component Analysis

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Duality in Multi-View Restricted Kernel Machines

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs

Project: E-DUALITY

Updated at: 13-06-2024

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Project acronym E-DUALITY

Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network

Project: E-DUALITY

Updated at: 01-06-2024

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Project acronym E-DUALITY

Deep kernel principal component analysis for multi-level feature learning

Project: E-DUALITY

Updated at: 01-06-2024

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Project acronym E-DUALITY

Positive semi-definite embedding for dimensionality reduction andout-of-sample extensions

Project: E-DUALITY

Updated at: 01-06-2024

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Project acronym E-DUALITY

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification

Project: E-DUALITY

Updated at: 01-06-2024

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Project acronym E-DUALITY

Multi-view Kernel PCA for Time series Forecasting

Project: E-DUALITY

Updated at: 01-06-2024

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Project acronym E-DUALITY

Efficient hinging hyperplanes neural network and its application in nonlinear system identification

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Tensor-based restricted kernel machines for multi-view classification

Project: E-DUALITY

Updated at: 27-04-2024

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Compressing Features for Learning with Noisy Labels

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Diversity Sampling is an Implicit Regularization for Kernel Methods

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Weighted Multi-view Deep Neural Networks for Weather Forecasting

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Axiomatic Kernels on Graphs for Support Vector Machines

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Tensor Learning in Multi-view Kernel PCA

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Deep convolutional learning for general early design stage prediction models

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Transductive LSTM for time-series prediction: An application to weather forecasting

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Fast Adaptive Hinging Hyperplanes

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Modified Frank–Wolfe algorithm for enhanced sparsity in support vector machine classifiers

Project: E-DUALITY

Updated at: 27-04-2024

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Project acronym E-DUALITY

Resources

Selected filters:

Periodic Reporting for period 4 - E-DUALITY (Exploring Duality for Future Data-driven Modelling)

Disentangled Representation Learning and Generation With Manifold Optimization

Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems

Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation

Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses

Unbalanced Optimal Transport: A Unified Framework for Object Detection

Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems

Nonlinear functional regression by functional deep neural network with kernel embedding

Denoising modulo samples: k-NN regression and tightness of SDP relaxation

A Dual Formulation for Probabilistic Principal Component Analysis

Duality in Multi-View Restricted Kernel Machines

Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs

Short-Term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural Network

Deep kernel principal component analysis for multi-level feature learning

Positive semi-definite embedding for dimensionality reduction andout-of-sample extensions

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification

Multi-view Kernel PCA for Time series Forecasting

Efficient hinging hyperplanes neural network and its application in nonlinear system identification

Tensor-based restricted kernel machines for multi-view classification

Compressing Features for Learning with Noisy Labels

Diversity Sampling is an Implicit Regularization for Kernel Methods

Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures

Weighted Multi-view Deep Neural Networks for Weather Forecasting

Axiomatic Kernels on Graphs for Support Vector Machines

Tensor Learning in Multi-view Kernel PCA

Deep convolutional learning for general early design stage prediction models

Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms

Transductive LSTM for time-series prediction: An application to weather forecasting

Fast Adaptive Hinging Hyperplanes

Modified Frank–Wolfe algorithm for enhanced sparsity in support vector machine classifiers