04.12.2020
MCML at NeurIPS 2020
Four Accepted Papers (2 Main, and 2 Workshops)
34th Conference on Neural Information Processing Systems, Virtual, Dec 06-12, 2020
We are happy to announce that MCML researchers have contributed a total of 4 papers to NeurIPS 2020: 2 Main, and 2 Workshop papers. Congrats to our researchers!
Main Track (2 papers)
Reliable Graph Neural Networks via Robust Aggregation.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. URL
Fast and Flexible Temporal Point Processes with Triangular Maps.
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. URL
Workshops (2 papers)
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering.
SSL @NeurIPS 2020 - Workshop on Self-Supervised Learning - Theory and Practice at the 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. arXiv GitHub
A Variational Quantum Circuit Model for Knowledge Graph Embeddings.
QTNML @NeurIPS 2020 - 1st Workshop on Quantum Tensor Networks in Machine Learning at the 34th Conference on Neural Information Processing Systems. Virtual, Dec 06-12, 2020. PDF
#research #top-tier-work #guennemann #schubert #seidl #tresp
Related
20.11.2025
Zigzag Your Way to Faster, Smarter AI Image Generation
ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.
13.11.2025
Anne-Laure Boulesteix Among the World’s Most Cited Researchers
MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.
13.11.2025
Björn Ommer Featured in Frankfurter Rundschau
Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.
13.11.2025
Fabian Theis Among the World’s Most Cited Researchers
Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.