42 citations · 50 across the 4 of their papers we have counts for
4 papers
Jamba-1.5: Hybrid Transformer-Mamba Models at Scale
Jamba Team, Barak Lenz, Alan Arazi +58
We present Jamba-1.5, new instruction-tuned large language models based on our Jamba architecture. Jamba is a hybrid Transformer-Mamba mixture of experts architecture, providing hi…
Jamba: A Hybrid Transformer-Mamba Language Model
Opher Lieber, Barak Lenz, Hofit Bata +19
We present Jamba, a new base large language model based on a novel hybrid Transformer-Mamba mixture-of-experts (MoE) architecture. Specifically, Jamba interleaves blocks of Transfo…
Learning Personal Representations from fMRIby Predicting Neurofeedback Performance
Jhonathan Osin, Lior Wolf, Guy Gurevitch +5
We present a deep neural network method for learning a personal representation for individuals that are performing a self neuromodulation task, guided by functional MRI (fMRI). Thi…
fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits
Rotem Leibovitz, Jhonathan Osin, Lior Wolf +2
We obtain a personal signature of a person's learning progress in a self-neuromodulation task, guided by functional MRI (fMRI). The signature is based on predicting the activity of…