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
20.07.2026
How Fair Does AI Seem in Job Interviews?
A new study by Enkelejda Kasneci examines how applicants perceive fairness in AI-driven job interviews.
20.07.2026
TUM Develops Intelligent 3D Twins of Crime Scenes
AI-powered 3D twins enable investigators to analyze virtual crime scenes through interactive object recognition and scene understanding.
09.07.2026
MCML Junior Member Bolei Ma Earns Best Paper and SAC Highlight Awards at ACL 2026
Bolei Ma receives a Best Paper Award and an SAC Highlight Award at ACL 2026 for outstanding contributions to NLP research.