Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...

Abstract: Multi-label learning (MLL) is a supervised learning where the classifier needs to learn from the data where one instance can belong to more than one class (label). Due to its wide ...

In Summary: Multi-agent collaboration for financial analysis is like a symphony where LLM-powered agents harmonize, riff off each other, and create beautiful financial melodies. So, whether you’re ...

👉 Pram is a multimodal language model (MLM)-powered framework for solving multi-commodity flow (MCF) problems, accepted by ICLR '26. By leveraging the mathematical reasoning ability of MLMs, Pram ...

The scale of the simulations on Frontier has reached such a point that we are within reach of experiments as far as the range of scales that can be simulated numerically or can be made to happen in ...