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Pierre Chainais
- ESANN 2022 - Sliced-Wasserstein normalizing flows: beyond maximum likelihood training [Details]
- ESANN 2006 - Modelling switching dynamics using prediction experts operating on distinct wavelet scales [Details]
- ESANN 2006 - Probabilistic classifiers and time-scale representations: application to the monitoring of a tramway guiding system [Details]
- No papers found
- ESANN 2026 - RKLU: Redistributive KL Distillation for Efficient Retain-Free Machine Unlearning [Details]
- ESANN 2018 - Cache-efficient Gradient Descent Algorithm [Details]
- ESANN 2001 - A structural genetic algorithm to optimize High Order Neural Network architecture [Details]
- ESANN 1994 - An explicit comparison of spike dynamics and firing rate dynamics in neural network modeling [Details]
- ESANN 2009 - A regression model with a hidden logistic process for signal parametrization [Details]
- ESANN 2012 - Functional Mixture Discriminant Analysis with hidden process regression for curve classification [Details]
- ESANN 2012 - Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors [Details]
- ESANN 2014 - Bayesian non-parametric parsimonious clustering [Details]
- ESANN 2016 - Bayesian mixture of spatial spline regressions [Details]
- ESANN 2018 - Regularised maximum-likelihood inference of mixture of experts for regression and clustering [Details]
- ESANN 2005 - To apply score function difference based ICA algorithms to high-dimensional data [Details]
- No papers found
- ESANN 2005 - Evolutionary framework for the construction of diverse hybrid ensembles [Details]
- ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
- ESANN 2001 - Recognition of consonant-vowel utterances using Support Vector Machines [Details]
- ESANN 2015 - Real-time activity recognition via deep learning of motion features [Details]
- ESANN 1994 - An explicit comparison of spike dynamics and firing rate dynamics in neural network modeling [Details]
- ESANN 1995 - Active noise control with dynamic recurrent neural networks [Details]
- ESANN 1997 - Optimization of the asymptotic performance of time-domain convolutive source separation algorithms [Details]
- ESANN 2008 - Improvement in Game Agent Control Using State-Action Value Scaling [Details]
- ESANN 1999 - Neural networks which identify composite factors [Details]
- ESANN 1999 - Noise to extract independent causes [Details]
- ESANN 2001 - Rectified Gaussian distributions and the formation of local filters from video data [Details]
- ESANN 2001 - Unsupervised models for processing visual data [Details]
- ESANN 2002 - Exploratory Correlation Analysis [Details]
- ESANN 2025 - Growth strategies for arbitrary DAG neural architectures [Details]
- ESANN 2013 - Unsupervised non-linear neural networks capture aspects of floral choice behaviour [Details]
- ESANN 2009 - On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers [Details]
- ESANN 2026 - See Without Decoding: Motion-Vector-Based Tracking in Compressed Video [Details]
- ESANN 2016 - Deep multi-task learning with evolving weights [Details]
- ESANN 2020 - MultiMBNN: Matched and Balanced Causal Inference with Neural Networks [Details]
- ESANN 2021 - IF: Iterative Fractional Optimization [Details]
- ESANN 2012 - Range-based non-orthogonal ICA using cross-entropy method [Details]
- No papers found
- ESANN 1993 - The purkinje unit of the cerebellum as a model of a stable neural network [Details]
- ESANN 1993 - The purkinje unit of the cerebellum as a model of a stable neural network [Details]