Research | Liquid AI

On the Size and Approximation Error of Distilled Datasets

Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus

On the Size and Approximation Error of Distilled Datasets

Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus

Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees

Đorđe Žikelić, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas A Henzinger

Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees

Đorđe Žikelić, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas A Henzinger

How Effectively Does a Model Use Its Memory

Rom Parnichkun, Neehal Tumma, Stefano Massaroli, Michael Poli, Armin Thomas, Liquid Team

How Effectively Does a Model Use Its Memory

Rom Parnichkun, Neehal Tumma, Stefano Massaroli, Michael Poli, Armin Thomas, Liquid Team

Convolutional Multi-Hybrids for Edge Devices

Armin Thomas, Stefano Massaroli, Michael Poli, Liquid Edge Team

Convolutional Multi-Hybrids for Edge Devices

Armin Thomas, Stefano Massaroli, Michael Poli, Liquid Edge Team

Automated Architecture Synthesis via Targeted Evolution

Armin W. Thomas, Rom Parnichkun, Alexander Amini, Stefano Massaroli and Michael Poli

Automated Architecture Synthesis via Targeted Evolution

Armin W. Thomas, Rom Parnichkun, Alexander Amini, Stefano Massaroli and Michael Poli

From Liquid Neural Networks to Liquid Foundation Models

From Liquid Neural Networks to Liquid Foundation Models

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