Home  | News

08.11.2021

Tiny logo
Teaser image to Max Berrendorf and Volker Tresp receive Best paper award at ISWC 2021

Max Berrendorf and Volker Tresp Receive Best Paper Award at ISWC 2021

Honored for Improving Inductive Link Prediction Using Hyper-Relational Facts

Congrats to our Junior Member Max Berrendorf and our PI Volker Tresp for receiving the Best Paper Award in the Research Track at the International Semantic Web Conference (ISWC 2021) for their work "Improving Inductive Link Prediction Using Hyper-Relational Facts".

Congrats from us!

A Conference
M. Ali • M. Berrendorf • M. Galkin • V. Thost • T. Ma • V. Tresp • J. Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts.
ISWC 2021 - 20th International Semantic Web Conference. Virtual, Oct 24-28, 2021. Best Paper Award. DOI GitHub
#award #research #tresp
Subscribe to RSS News feed

Related

Link to MCML at AAAI 2026

19.01.2026

MCML at AAAI 2026

MCML researchers are represented with 11 papers at AAAI 2026 (8 Main, and 3 Workshops).

Link to MCML PI Frauke Kreuter Featured on ARD alpha on AI

19.01.2026

MCML PI Frauke Kreuter Featured on ARD Alpha on AI

MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.

Link to Blind Matching – Aligning Images and Text Without Training or Labels

15.01.2026

Blind Matching – Aligning Images and Text Without Training or Labels

CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.

Link to MCML PIs Featured in Süddeutsche Zeitung

12.01.2026

MCML PIs Featured in Süddeutsche Zeitung

MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.

Link to High-Res Images, Less Wait: A Simple Flow for Image Generation

08.01.2026

High-Res Images, Less Wait: A Simple Flow for Image Generation

ECCV 2024 research led by Björn Ommer’s team enables faster high-resolution image generation by boosting diffusion models with flow matching.

Back to Top