Research (Page 2) | Liquid AI

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

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

Leave-one-out Distinguishability in Machine Learning

By Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, and Reza Shokri
Read more

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

By Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, and Daniela Rus
Read more

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

By Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, and Denny Wu
Read more

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

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

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

By Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, and Daniela Rus
Read more

Exploring Modern Evolution Strategies in Portfolio Optimization

By Ramin Hasani, Etan A Ehsanfar, Greg A Banis, Rusty Bealer, and Amir Soroush Ahmadi
Read more

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

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

On the Size and Approximation Error of Distilled Datasets

By Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, and Daniela Rus
Read more

Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees

By Đorđe Žikelić, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, and Thomas A Henzinger
Read more

Convolutional State Space Models for Long-Range Spatiotemporal Modeling

By Jimmy T.H. Smith, Shalini De Mello, Jan Kautz, Scott Linderman, and Wonmin Byeon
Read more

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution

By Eric Nguyen, Michael Poli, Marjan Faizi, Armin W Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton M. Rabideau, Yoshua Bengio, Stefano Ermon, and 2 others
Read more

Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context

By Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, and Yoshua Bengio
Read more

Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

By Stefano Massaroli, Michael Poli, Daniel Y Fu, Hermann Kumbong, Rom Nishijima Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, and 3 others
Read more

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models

By Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Everett Spielberg, Joshua B. Tenenbaum, Chuang Gan, and Daniela Rus
Read more

Learning Efficient Surrogate Dynamic Models with Graph Spline Networks

By Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, and Jinkyoo Park
Read more

Expressive Sign Equivariant Networks for Spectral Geometric Learning

By Derek Lim, Joshua Robinson, Stefanie Jegelka, and Haggai Maron
Read more