• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. P
  4. Pou…
  5. POUPART Pascal
🔗 Permalink
Inventor profile of:

Pascal POUPART

City:

Kitchener

Country:

Canada

Published Applications:

6

Last publication date:

2025-05-22

Top Assignees for applications by Pascal POUPART

The entities that hold a legal rights for patent applications filed by inventor POUPART Pascal:

  • HUAWEI TECHNOLOGIES CO., LTD. 1 Shenzhen, China

Recent patent applications by POUPART Pascal

Pascal POUPART from Kitchener, CA has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-05-22
US20250165796A1
Physics

SYSTEMS AND METHODS FOR EXECUTING CONFIDENCE-AWARE REINFORCEMENT LEARNING

#2 | 2025-05-22
US20250165794A1
Physics

SYSTEMS AND METHODS FOR INVERSE CONSTRAINT REINFORCEMENT FROM A MIXTURE OF EXPERTS

#3 | 2025-03-27
US20250103945A1
Physics

METHODS AND SYSTEMS FOR FEDERATED LEARNING WITH CLIENT CLUSTERS

#4 | 2024-01-04
US20240005202A1
Physics

METHODS, SYSTEMS, AND MEDIA FOR ONE-ROUND FEDERATED LEARNING WITH PREDICTIVE SPACE BAYESIAN INFERENCE

#5 | 2023-11-23
US20230376749A1
Physics

SYSTEMS AND METHODS TO LEARN CONSTRAINTS FROM EXPERT DEMONSTRATIONS

#6 | 2021-12-16
US20210390269A1
Physics

System and method for bi-directional translation using sum-product networks

InventorID:

5271012 ⎘

  1. Home
  2. Inventor
  3. P
  4. Pou…
  5. POUPART Pascal

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.