2 citations · 5 across the 5 of their papers we have counts for
10 papers
STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses
Zhenge Zhao, Danilo Motta, Matthew Berger +5
Civil engineers use numerical simulations of a building's responses to seismic forces to understand the nature of building failures, the limitations of building codes, and how to d…
Compressive Neural Representations of Volumetric Scalar Fields
Yuzhe Lu, Kairong Jiang, Joshua A. Levine +1
We present an approach for compressing volumetric scalar fields using implicit neural representations. Our approach represents a scalar field as a learned function, wherein a neura…
Visually Analyzing and Steering Zero Shot Learning
Saroj Sahoo, Matthew Berger
We propose a visual analytics system to help a user analyze and steer zero-shot learning models. Zero-shot learning has emerged as a viable scenario for categorizing data that cons…
Visually Analyzing Contextualized Embeddings
Matthew Berger
In this paper we introduce a method for visually analyzing contextualized embeddings produced by deep neural network-based language models. Our approach is inspired by linguistic p…
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models
Joseph F DeRose, Jiayao Wang, Matthew Berger
Advances in language modeling have led to the development of deep attention-based models that are performant across a wide variety of natural language processing (NLP) problems. Th…
PRAGMA: Interactively Constructing Functional Brain Parcellations
Roza G. Bayrak, Nhung Hoang, Colin B. Hansen +2
A prominent goal of neuroimaging studies is mapping the human brain, in order to identify and delineate functionally-meaningful regions and elucidate their roles in cognitive behav…