Jan E. Lenssen

5 papers · 2020–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ECCV (2) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Matthias Fey (3) Jure Leskovec (2) Eddy Ilg (2) Zecheng Zhang (1) Christopher Morris (1) Rohan Chabra (1) Christopher Wewer (1) Jonathan Masci (1) Yiwen Yuan (1) Steven Lovegrove (1)

Research topics

Deep Learning (4) Machine Learning (4) Core Methods (4) Architectures (3) Application Areas (2) Computer Vision (1) Data Science & Analytics (1) Analysis (1) Applications (1) Methods (1) Models (1) Techniques (1)

Keywords

graph neural network (3) message passing (2) link prediction (1) graph matching (1) predictive modeling (1) node embedding (1) relational database (1) latent space (1) scalable computing (1) predictive task (1) feature engineering (1) node representation (1) gpu memory (1) structural correspondence (1) large-scale graph (1) historical embedding (1) approximation error bound (1) generative decoder (1) scalable deep learning (1) generalizable reconstruction (1)

Papers

latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction ECCV 2024 RelBench: A Benchmark for Deep Learning on Relational Databases NeurIPS 2024 GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021 Deep Graph Matching Consensus ICLR 2020 Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction ECCV 2020