Ramin Hasani
BuilderCambridge
@raminmh
CEO & Co-founder of Liquid AI. Invented Liquid Neural Networks at MIT CSAIL. Building compact, efficient foundation models.
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Research Foundations (2)
Projects (1)
Liquid Foundation Models
Compact, efficient foundation models built on Liquid Neural Networks. State-space models that outperform transformers at smaller sizes.
Built on research:
AI Suggested Researchers
Researchers whose work may be relevant to your projects (auto-detected)
Daniela Rus
MIT CSAIL
Chelsea Finn
Stanford University
Ilya Sutskever
Safe Superintelligence Inc.
Yoshua Bengio
Mila / Université de Montréal
AI Suggested Papers
Papers that may have inspired your projects (auto-detected by domain & keyword analysis)
For Liquid Foundation Models:
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
ICML 2017 · 2017 · 16,000 citations
Auto-Encoding Variational Bayes
ICLR 2014 · 2014 · 22,000 citations
Language Models are Few-Shot Learners
NeurIPS 2020 · 2020 · 3,027 citations