Charles Ollion

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 17

Top Topics

Natural Language Generation

Noise Estimation

Top Venues

Publications

Max Cohen, Guillaume Quispe, Sylvain Le Corff, Charles Ollion, Eric Moulines
Diffusion bridges vector quantized variational autoencoders. ICML (2022)
Alexandre Ramé, Arthur Douillard, Charles Ollion
CoRe: Color Regression for Multicolor Fashion Garments. CVPR Workshops (2022)
Alice Martin, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
Learning Natural Language Generation with Truncated Reinforcement Learning. NAACL-HLT (2022)
Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord
Insights From the Future for Continual Learning. CVPR Workshops (2021)
Alice Martin Donati, Guillaume Quispe, Charles Ollion, Sylvain Le Corff, Florian Strub, Olivier Pietquin
Learning Natural Language Generation from Scratch. CoRR (2021)
Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff
Joint self-supervised blind denoising and noise estimation. CoRR (2021)
Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff, Charles Ollion, Eric Moulines, Arnaud Doucet, Alain Durmus, Christian X. Robert
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform. NeurIPS (2021)
Alexandre Ramé, Arthur Douillard, Charles Ollion
CORE: Color Regression for Multiple Colors Fashion Garments. CoRR (2020)
Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle
Small-Task Incremental Learning. CoRR (2020)
Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord
Insights from the Future for Continual Learning. CoRR (2020)
Jean Ollion, Charles Ollion
DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine. CoRR (2020)
Jean Ollion, Charles Ollion
DistNet: Deep Tracking by Displacement Regression: Application to Bacteria Growing in the Mother Machine. MICCAI (5) (2020)
Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning. ECCV (20) (2020)
Alice Martin, Charles Ollion, Florian Strub, Sylvain Le Corff, Olivier Pietquin
The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction. CoRR (2020)
Alexandre Ramé, Emilien Garreau, Hedi Ben-Younes, Charles Ollion
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation. CoRR (2018)
Charles Corbière, Hedi Ben-younes, Alexandre Ramé, Charles Ollion
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. ICCV Workshops (2017)
Charles Corbière, Hedi Ben-younes, Alexandre Ramé, Charles Ollion
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. CoRR (2017)
Charles Ollion, Tony Pinville, Stéphane Doncieux
With a little help from selection pressures: evolution of memory in robot controllers. ALIFE (2012)
Charles Ollion, Stéphane Doncieux
Towards Behavioral Consistency in Neuroevolution. SAB (2012)
Charles Ollion, Tony Pinville, Stéphane Doncieux
Emergence of memory in neuroevolution: impact of selection pressures. GECCO (Companion) (2012)
Charles Ollion, Stéphane Doncieux
Why and how to measure exploration in behavioral space. GECCO (2011)