2 citations · 4 across the 5 of their papers we have counts for
5 papers
PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos
Steven Abreu, Tiffany D. Do, Karan Ahuja +4
Intelligent assistance involves not only understanding but also action. Existing ego-centric video datasets contain rich annotations of the videos, but not of actions that an intel…
Mamba-PTQ: Outlier Channels in Recurrent Large Language Models
Alessandro Pierro, Steven Abreu
Modern recurrent layers are emerging as a promising path toward edge deployment of foundation models, especially in the context of large language models (LLMs). Compressing the who…
Q-S5: Towards Quantized State Space Models
Steven Abreu, Jens E. Pedersen, Kade M. Heckel +1
In the quest for next-generation sequence modeling architectures, State Space Models (SSMs) have emerged as a potent alternative to transformers, particularly for their computation…
Concepts and Paradigms for Neuromorphic Programming
Steven Abreu
The value of neuromorphic computers depends crucially on our ability to program them for relevant tasks. Currently, neuromorphic computers are mostly limited to machine learning me…
Training a spiking neural network on an event-based label-free flow cytometry dataset
Muhammed Gouda, Steven Abreu, Alessio Lugnan +1
Imaging flow cytometry systems aim to analyze a huge number of cells or micro-particles based on their physical characteristics. The vast majority of current systems acquire a larg…