Introduction to the Geometry of Tensors
Explore the geometric perspective of tensors, their applications, and how this viewpoint enhances understanding in various fields. Gentle introduction suitable for beginners.
Deep Learning for Anomaly Detection - Expanding Our Marker Vocabulary
Explore deep learning techniques for anomaly detection in medical imaging, expanding marker vocabulary to enhance diagnostic capabilities and improve patient outcomes.
Robust Principal Component Analysis
Explore robust PCA for handling corrupted data in fields like fluid mechanics and image processing. Learn its applications and importance in data-driven science and engineering.
Robust, Interpretable Statistical Models - Sparse Regression with the LASSO
Explore sparse regression and LASSO algorithm for building interpretable, robust models with minimal variables. Learn key concepts and applications in data science and machine learning.
The Directional Transform
Explore the directional transform in topological data analysis, its applications in understanding complex structures, and its potential for enhancing machine learning models and data shape quantification.
A Topological Study of the Space of Planar Pentagons
Exploring topology of planar pentagons as a model for molecular conformation spaces, using topological data analysis for dimensionality reduction and visualization.
Henry Adams - Topology in Machine Learning
Explore persistent homology in machine learning, covering applications in materials science, computer vision, and agent-based modeling. Learn how topology relates to dataset geometry and explainable AI.
Swap, Shift and Trim to Edge Collapse a Flag Filtration
Exploring efficient algorithms for reducing flag filtrations in persistent homology, with focus on edge collapse techniques and their applications in computational topology.
SAP S/4HANA SD Training - Material Master Data
Comprehensive guide to managing Material Master Data in SAP S/4HANA SD, covering creation, editing, and optimization of product information for sales and distribution processes.
SAP S/4 HANA Finance Training - GL Master Data
Comprehensive overview of GL Master Data in SAP S/4HANA Finance, covering key concepts like Chart of Accounts, Account Groups, and Field Status Variants.
Differential Calculus on Persistence Barcodes
Explore differential calculus on persistence barcodes, covering differentiability concepts, lifts to ordered barcodes, and applications in topological data analysis.
Studying the Space of Persistence Diagrams Using Optimal Partial Transport II
Exploring persistence diagrams through optimal transport theory, bridging topological data analysis with measure spaces to characterize convergence and prove new results in random settings.
Studying the Space of Persistence Diagrams Using Optimal Partial Transport - Part I
Exploring persistence diagrams through optimal partial transport, bridging topological data analysis with measure theory. Novel approach enables new insights into convergence, continuity, and random settings in TDA.
TopoAct - Visually Exploring the Shape of Activations in Deep Learning
Explore the shape of neuron activations in deep learning using topological data analysis. Gain insights into learned representations of image classifiers with TopoAct visualization system.
On the Metric Distortion of Embedding Persistence Diagrams into RKHS
Explores embedding Persistence Diagrams into Reproducing Kernel Hilbert Spaces, analyzing metric properties and stability guarantees for machine learning applications in Topological Data Analysis.
Topological Data Analysis of Collective Motion
Explore topological data analysis for collective motion in nature, examining bird flocks, fish schools, and insect swarms through innovative mathematical models and simulations.
High-Throughput Spectroscopy and Material Discovery by Beyond-DFT Work and Data-Analysis
Explore high-throughput spectroscopy and materials discovery using advanced computational methods, workflows, and data analysis frameworks for accelerated insights in materials science.
Leveraging Reviews - Learning to Price with Buyer and Seller Uncertainty
Explore pricing strategies in online marketplaces using customer reviews and AI. Learn how sellers can optimize prices while helping buyers estimate product value through relevant feedback.
Lab-in-the-Loop De Novo Antibody Design - What Are We Missing From Machine Learning?
Explore lab-in-the-loop de novo antibody design, focusing on computational aspects. Discover generative modeling, computational oracles, and active learning in molecular systems research.
Ippei Obayashi - Stable Volumes for Persistent Homology
Explore stable volumes in persistent homology: a novel method to identify robust topological structures in data, overcoming instability issues and revealing minimal building blocks.
Multi-Parameter Persistent Homology is Practical
Explore practical applications of multi-parameter persistent homology in topological data analysis, focusing on efficient algorithms for large datasets and recent computational advancements.