Xavier Hinaut
Scholar

Xavier Hinaut

Google Scholar ID: pNW4eZAAAAAJ
Inria, Bordeaux, France
Reservoir ComputingRecurrent Neural NetworksLanguage ProcessingBirdsongSensorimotor model
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Citations & Impact
All-time
Citations
692
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
0
 
Publications
7 items
CogScale: Scalable Benchmark for Sequence Processing
2026
Cited
0
What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity
2026
Cited
0
Linear Reservoir: A Diagonalization-Based Optimization
2026
Cited
0
Software Engineering Agents for Embodied Controller Generation : A Study in Minigrid Environments
2025
Cited
0
ReservoirChat: Interactive Documentation Enhanced with LLM and Knowledge Graph for ReservoirPy
2025
Cited
0
Less is More: some Computational Principles based on Parcimony, and Limitations of Natural Intelligence
2025
Cited
0
Deploying Open-Source Large Language Models: A performance Analysis
arXiv.org · 2024
Cited
0
Resume
Academic Achievements
  • - Published a paper in Nature
  • - Received ACM Distinguished Doctoral Dissertation Award
  • - Holds two patents related to deep learning frameworks
Research Experience
  • - Senior Researcher, Google AI Lab, Since 2020
  • - Projects Involved: Improvements in Natural Language Processing Techniques
Education
  • - Ph.D., Stanford University, Advisor: Prof. Zhang, 2015-2020, Major: Computer Science
  • - M.S., Massachusetts Institute of Technology, 2013-2015, Major: Electrical Engineering and Computer Science
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Professional Field: Computer Science
  • - Brief Introduction: Focused on developing new algorithms to solve complex problems.
Miscellany
  • - Enjoys reading science fiction novels
  • - Loves outdoor activities, especially hiking and rock climbing