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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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)
Yoshua Bengio
Mila / Université de Montréal
Ian Goodfellow
Google DeepMind
Yann LeCun
Meta AI / NYU
Ilya Sutskever
Safe Superintelligence Inc.
AI Suggested Papers
Papers that may have inspired your projects (auto-detected by domain & keyword analysis)
For Liquid Foundation Models:
Language Models are Few-Shot Learners
NeurIPS 2020 · 2020 · 35,000 citations
Generative Adversarial Nets
NeurIPS 2014 · 2014 · 65,000 citations
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
ICLR 2019 · 2019 · 6,500 citations