Christoph Hofer

6 papers · 2017–2021 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

Venues

ICML (4) NeurIPS (2)

Top co-authors

Roland Kwitt (6) Marc Niethammer (5) Florian Graf (4) Mandar Dixit (1) Sebastian Zeng (1) Bastian Rieck (1) Andreas Uhl (1)

Research topics

Machine Learning (6) Core Methods (6) Deep Learning (4) Architectures (4) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Optimization & Theory (2) Data Science & Analytics (1) Mathematics & Optimization (1) Mathematics (1) Methods (1) Techniques (1)

Keywords

persistent homology (4) representation learning (3) neural network (2) topological data analysis (2) attention mechanism (1) supervised contrastive learning (1) neural network optimization (1) time series forecasting (1) kernel density estimation (1) generalization bound (1) deep neural network (1) latent space (1) node feature (1) cross-entropy loss (1) topological feature (1) graph-structured data (1) topological constraint (1) graph-level representation (1) graph neural network (1) graph filtration (1)

Papers

Dissecting Supervised Contrastive Learning ICML 2021 Topological Attention for Time Series Forecasting NeurIPS 2021 Graph Filtration Learning ICML 2020 Topologically Densified Distributions ICML 2020 Connectivity-Optimized Representation Learning via Persistent Homology ICML 2019 Deep Learning with Topological Signatures NeurIPS 2017