Tracking the perspectives of interacting language models

H Helm, B Duderstadt, Y Park, CE Priebe - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) are capable of producing high quality information at
unprecedented rates. As these models continue to entrench themselves in society, the …

Investigating the application of graph theory features in hand movement directions decoding using EEG signals

SM Hosseini, AH Aminitabar, V Shalchyan - Neuroscience Research, 2023 - Elsevier
In recent years, functional analysis of brain networks based on graph theory properties has
attracted considerable attention. This approach has usually been exploited for structural and …

On the Feasibility of EEG-based Motor Intention Detection for Real-Time Robot Assistive Control

HJ Choi, S Das, S Peng, R Bajcsy… - … on Robotics and …, 2024 - ieeexplore.ieee.org
This paper explores the feasibility of employing EEG-based intention detection for real-time
robot assistive control. We focus on predicting and distinguishing motor intentions of left/right …

Embedding-based statistical inference on generative models

H Helm, A Acharyya, B Duderstadt, Y Park… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent cohort of publicly available generative models can produce human expert level
content across a variety of topics and domains. Given a model in this cohort as a base …

Consistent estimation of generative model representations in the data kernel perspective space

A Acharyya, MW Trosset, CE Priebe… - arxiv preprint arxiv …, 2024 - arxiv.org
Generative models, such as large language models and text-to-image diffusion models,
produce relevant information when presented a query. Different models may produce …

Approximately optimal domain adaptation with fisher's linear discriminant

H Helm, A De Silva, JT Vogelstein, CE Priebe, W Yang - Mathematics, 2024 - mdpi.com
We propose and study a data-driven method that can interpolate between a classical and a
modern approach to classification for a class of linear models. The class is the convex …

Comparing Foundation Models using Data Kernels

B Duderstadt, HS Helm, CE Priebe - arxiv preprint arxiv:2305.05126, 2023 - arxiv.org
Recent advances in self-supervised learning and neural network scaling have enabled the
creation of large models, known as foundation models, which can be easily adapted to a …

A Noble EEG Classification Method Using Wavelet Scattering of Feature Extraction for Mental Attention State Detection

Y Zheng - 2024 China Automation Congress (CAC), 2024 - ieeexplore.ieee.org
The mental attention state directly affects an individual's learning ability. It is important for
teachers to understand a student's mental attention state in real teaching. Although many …