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
Related
21.05.2026
Björn Eskofier Featured in Heise Online
Björn Eskofier participated in the panel discussion “How Research Scientists Build Health AI” at the Digital Health Innovation Forum.
11.05.2026
Cordelia Schmid Featured in Süddeutsche Zeitung
Cordelia Schmid, a member of the MCML Advisory Board, was recently featured in Süddeutsche Zeitung for her work in computer vision and robotics.
08.05.2026
Right Answer, Wrong Reasoning - Is AI Thinking or Cheating?
Can AI cheat without us noticing? Our PI Barbara Plank and her team introduce a new detection method at ICLR 2026.