Victor Léger
at 14:00
Saint-Martin-d'Hères - Domaine universitaire
Amphitheater C002 (Frances Allen) of ENSIMAG, Building C
Theoretical guarantees and improvement of large dimensional multi-task semi-supervised classification
at 14:00
Saint-Martin-d'Hères - Domaine universitaire
Amphitheater C002 (Frances Allen) of ENSIMAG, Building C
Theoretical guarantees and improvement of large dimensional multi-task semi-supervised classification
at 9:00
Saint-Martin-d'Hères - Domaine universitaire
IMAG building, Seminary room
Affect-aware Natural Language Generation: application to dialogue and cognitive remediation session summarization in low-resource settings
at 16:30
Saint-Martin-d'Hères - Domaine universitaire
Seminar room 1 on the ground floor of the IMAG building
Efficient Message-Passing Decoding of Quantum LDPC Codes
at 15:30
Saint-Martin-d'Hères - Domaine universitaire
Auditorium, IMAG building
Zoom Meeting
Deep Learning for 3D Spatial Data Analysis: Methods and Applications in the Fourier Domain
at 9:30
Saint-Martin-d'Hères - Domaine universitaire
Maison Jean Kuntzmann, dans l’amphithéâtre Jean Kuntzmann
A Theory of Distributed Reversible Systems with Failures and Recovery
at 15:00 P.M
Amphitéatre, Maison du doctorat Jean Kuntzmann
Efficiency and Fairness in Matching Problems
At 11:00
Saint-Martin-d'Hères - Domaine universitaire
IMAG Building Auditorium
and videoconference
Causal discovery from heterogeneous time series with application to IT monitoring data
at 9:00
Saint-Martin-d'Hères - Domaine universitaire
Maison des Langues et des Cultures (Salle Jacques Cartier)
Dimensions de variation de la parole spontanée pour l’étude inter-corpus des performances de systèmes de reconnaissance automatique de la parole
at 10:00 a.m
Saint-Martin-d'Hères - Domaine universitaire
GIPSA - LAB, JMC room
Multimodal human-robot collaboration in shared tasks
at 3:00 p.m
Saint-Martin-d'Hères - Domaine universitaire
ENSIMAG (Amphithéâtre H, bâtiment H)
A Versatile Methodology for Assessing the Electricity Consumption and Environmental Footprint of Machine Learning Training: from Supercomputers to Edge Devices