1 citations · 1 across the 5 of their papers we have counts for
5 papers
Stable Unsupervised Continual Chunking with Sheaf SyncMap
Xueyuan Li, Danilo Vasconcellos Vargas
Unsupervised Continual chunking is a fundamental problem in machine learning and neuroscience, where the goal is to identify groups of states that frequently co-occur in temporal s…
A Study of Hidden-State Optimization Order in Predictive Coding Networks
Xueyuan Li, Danilo Vasconcellos Vargas
Local learning methods offer an alternative to end-to-end backpropagation, but their unstructured local objectives can produce weak feature learning in deep networks. We study whet…
LCA: Local Classifier Alignment for Continual Learning
Tung Tran, Danilo Vasconcellos Vargas, Khoat Than
A fundamental requirement for intelligent systems is the ability to learn continuously under changing environments. However, models trained in this regime often suffer from catastr…
Beyond KV Caching: Shared Attention for Efficient LLMs
Bingli Liao, Danilo Vasconcellos Vargas
The efficiency of large language models (LLMs) remains a critical challenge, particularly in contexts where computational resources are limited. Traditional attention mechanisms in…
Extending Token Computation for LLM Reasoning
Bingli Liao, Danilo Vasconcellos Vargas
Large Language Models (LLMs) are pivotal in advancing natural language processing but often struggle with complex reasoning tasks due to inefficient attention distributions. In thi…