Julien Audiffren

Orcid: 0000-0003-4321-2575

According to our database1, Julien Audiffren authored at least 31 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Follow the Path: Hierarchy-Aware Extreme Multi-Label Completion for Semantic Text Tagging.
Proceedings of the ACM on Web Conference 2024, 2024

Cleaning Semi-Structured Errors in Open Data Using Large Language Models.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

2022
Tensor Convolutional Dictionary Learning With CP Low-Rank Activations.
IEEE Trans. Signal Process., 2022

Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience.
Neural Comput., 2022

2021
Wiki2Prop: A Multimodal Approach for Predicting Wikidata Properties from Wikipedia.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Dichotomous Optimistic Search to Quantify Human Perception.
Proceedings of the 38th International Conference on Machine Learning, 2021

Quantifying Human Perception with Multi-Armed Bandits.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Apprenticeship Learning for a Predictive State Representation of Anesthesia.
IEEE Trans. Biomed. Eng., 2020

Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis.
CoRR, 2020

Low Rank Activations for Tensor-Based Convolutional Sparse Coding.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Distant Supervision from Knowledge Graphs.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

NurseNet: Monitoring Elderly Levels of Activity with a Piezoelectric Floor.
Sensors, 2019

Local Assessment of Statokinesigram Dynamics in Time: An in-Depth Look at the Scoring Algorithm.
Image Process. Line, 2019

Multivariate Convolutional Sparse Coding with Low Rank Tensor.
CoRR, 2019

APCNN: Tackling Class Imbalance in Relation Extraction through Aggregated Piecewise Convolutional Neural Networks.
Proceedings of the 6th Swiss Conference on Data Science, 2019

Fusing Vector Space Models for Domain-Specific Applications.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Estimating Center of Mass Trajectory in Quiet Standing: a Review.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Model-Space Regularization and Fully Interpretable Algorithms for Postural Control Quantification.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Bandits Dueling on Partially Ordered Sets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

m-Power regularized least squares regression.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Preprocessing the Nintendo Wii Board Signal to Derive More Accurate Descriptors of Statokinesigrams.
Sensors, 2016

Operator-valued Kernels for Learning from Functional Response Data.
J. Mach. Learn. Res., 2016

Post Training in Deep Learning with Last Kernel.
CoRR, 2016

Indistinguishable Bandits Dueling with Decoys on a Poset.
CoRR, 2016

2015
Cornering Stationary and Restless Mixing Bandits with Remix-UCB.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Maximum Entropy Semi-Supervised Inverse Reinforcement Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Online Learning with Operator-valued Kernels.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Stationary Mixing Bandits.
CoRR, 2014

Equivalence of Learning Algorithms.
CoRR, 2014

2013
Online Learning with Multiple Operator-valued Kernels.
CoRR, 2013

Stability of Multi-Task Kernel Regression Algorithms.
Proceedings of the Asian Conference on Machine Learning, 2013


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