Research

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

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

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

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

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

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

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

Exploring Modern Evolution Strategies in Portfolio Optimization

Ramin Hasani, Etan A Ehsanfar, Greg A Banis, Rusty Bealer, Amir Soroush Ahmadi

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning

Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Wang, Wei Xiao, Ramin Hasani, Joshua Rountree, Daniela Rus

Expressive Sign Equivariant Networks for Spectral Geometric Learning

Derek Lim, Joshua Robinson, Stefanie Jegelka, Haggai Maron