About
People
Publications
Open Source
Demos
Events
Blog
Careers
Contact
English
English
Français
ServiceNow
ServiceNow Research
Tags
Compression
ServiceNow Research
Compression
Sample compression unleashed: New generalization bounds for real valued losses
The sample compression theory provides generalization guarantees for predictors that can be fully defined using a subset of the …
Mathieu Bazinet
,
Valentina Zantedeschi
,
Pascal Germain
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
PDF
Cite
Sample compression unleashed: New generalization bounds for real valued losses
The sample compression theory provides generalization guarantees for predictors that can be fully defined using a subset of the …
Mathieu Bazinet
,
Valentina Zantedeschi
,
Pascal Germain
Workshop at the Neural Information Processing Systems (NeurIPS), 2024.
PDF
Cite
RaVAEn: Unsupervised Change Detection of Extreme Events Using ML On-Board Satellites
Applications such as disaster management enormously benefit from rapid availability of satellite observations. Traditionally, data …
Vít Růžička
,
Anna Vaughan
,
Daniele De Martini
,
James Fulton
,
Valentina Salvatelli
,
Chris Bridges
,
Gonzalo Mateo-Garcia
,
Valentina Zantedeschi
Nature Scientific Reports, 2022.
PDF
Cite
Code
Online Learned Continual Compression with Adaptive Quantization Modules
We introduce and study the problem of Online Continual Compression, where one attempts to simultaneously learn to compress and store a …
Lucas Caccia
,
Eugene Belilovsky
,
Massimo Caccia
,
Joelle Pineau
International Conference on Machine Learning (ICML), 2020.
PDF
Cite
Code
Cite
×