4 papers
Monitoring Neural Training with Topology: A Footprint-Predictable Collapse Index
Alexander Kalinowski
Representational collapse, where embeddings become anisotropic and lose multi-scale structure, can erode downstream performance long before performance metrics react. We propose an…
Calibrated Persistent Homology Tests for High-dimensional Collapse Detection
Alexander Kalinowski
We study detection of collapse in high-dimensional point clouds, where mass concentrates near a lower-dimensional set relative to a non-collapsed geometry. We propose persistent ho…
Enhancing Semantic Interoperability Across Materials Science With HIVE4MAT
Jane Greenberg, Kio Polson, Scott McClellan +3
HIVE4MAT is a linked data interactive application for navigating ontologies of value to materials science. HIVE enables automatic indexing of textual resources with standardized te…
Is the Lecture Engaging for Learning? Lecture Voice Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System
Yuan An, Samarth Kolanupaka, Jacob An +5
This paper introduces an intelligent lecturing assistant (ILA) system that utilizes a knowledge graph to represent course content and optimal pedagogical strategies. The system is…