Ramin Hasani

Builder

Cambridge

@raminmh

CEO & Co-founder of Liquid AI. Invented Liquid Neural Networks at MIT CSAIL. Building compact, efficient foundation models.

Skills

neural networksroboticsautonomous systemspythonresearch

Looking For

collaboratorhiring

Projects (1)

Liquid Foundation Models

Live

Compact, efficient foundation models built on Liquid Neural Networks. State-space models that outperform transformers at smaller sizes.

Generative AIRobotics

Built on research:

paperLiquid Time-constant Networks(2021)

paperAttention Is All You Need(2017)

AI Suggested Researchers

Researchers whose work may be relevant to your projects (auto-detected)

Yoshua Bengio

Mila / Université de Montréal

Shared domains: Generative AI

45% matchAI suggested

Ian Goodfellow

Google DeepMind

Shared domains: Generative AI

45% matchAI suggested

Yann LeCun

Meta AI / NYU

Shared domains: Generative AI

44% matchAI suggested

Ilya Sutskever

Safe Superintelligence Inc.

Shared domains: Generative AI

42% matchAI suggested

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

Shared domains: Generative AIRelated keywords: models, models, modelsHighly cited (35,000 citations)

42% match

Generative Adversarial Nets

NeurIPS 2014 · 2014 · 65,000 citations

Shared domains: Generative AIRelated keywords: models, models, modelsHighly cited (65,000 citations)

41% match

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

ICLR 2019 · 2019 · 6,500 citations

Shared domains: Generative AIRelated keywords: neural, networks, neural, networks

38% match

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