Research | Liquid AI

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

Large Scale Dataset Distillation with Domain Shift

Noel Loo, Alaa Maalouf, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

Large Scale Dataset Distillation with Domain Shift

Noel Loo, Alaa Maalouf, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution

Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus

Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution

Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus

Leave-one-out Distinguishability in Machine Learning

Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri

Leave-one-out Distinguishability in Machine Learning

Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri

COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz

COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William T. Freeman, Ruth Rosenholtz

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

Noel Loo, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

Noel Loo, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus

Graph Metanetworks for Processing Diverse Neural Architectures

Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas

Graph Metanetworks for Processing Diverse Neural Architectures

Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas

How Structured Data Guides Feature Learning: A Case Study of the Parity Problem

Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, Denny Wu

How Structured Data Guides Feature Learning: A Case Study of the Parity Problem

Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, Denny Wu

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models

Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus

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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