activity
20142026
most citedClosed-form Continuous-time Neural Models

223 citations · 522 across the 34 of their papers we have counts for

collaborators

34 papers

cs.CL2026

In-Place Tokenizer Expansion for Pre-trained LLMs

Jimmy T. H. Smith, Tarek Dakhran, Alberto Cabrera +7

A tokenizer fixed at the start of pre-training allocates vocabulary in proportion to the pre-training corpus, reflecting the deployment priorities at that time. When those prioriti…

cs.MA2026

Multi-Agent Robotic Control with Onboard Vision-Language Models

Kajetan Rachwał, Maciej Majek, Bartłomiej Boczek +6

Vision Language Models (VLMs) and Vision Language Action (VLA) models have shown promise in robotic control. Yet, they face significant challenges regarding explainability, general…

cs.LG2025★ 1 cited

LFM2 Technical Report

Alexander Amini, Anna Banaszak, Harold Benoit +30

We present LFM2, a family of Liquid Foundation Models designed for efficient on-device deployment and strong task capabilities. Using hardware-in-the-loop architecture search under…

cs.RO2024

Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks

Alex Quach, Makram Chahine, Alexander Amini +2

Simulators are powerful tools for autonomous robot learning as they offer scalable data generation, flexible design, and optimization of trajectories. However, transferring behavio…

cs.CV2024★ 1 cited

Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder

Anass Bairouk, Mirjana Maras, Simon Herlin +5

Autonomous driving presents a complex challenge, which is usually addressed with artificial intelligence models that are end-to-end or modular in nature. Within the landscape of mo…

cs.CV2024

Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications

Yao Du, Carlos M. Mateo, Mirjana Maras +5

Unlike a traditional gyroscope, a visual gyroscope estimates camera rotation through images. The integration of omnidirectional cameras, offering a larger field of view compared to…