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Michael Färber

Full Professor

Technische Universität Dresden

Germany

Research Interests

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About

Michael Färber is a Deputy Professor (W3-Lehrstuhlvertretung) at the Karlsruhe Institute of Technology in Germany. His research areas include large physics models, optical-access networks, and machine learning applications in optical systems. He has published extensively on topics such as international collaboration in computer science, biases in scholarly recommender systems, and advancements in knowledge graph technologies. His work contributes significantly to the understanding of AI research impacts and the development of sustainable smart city solutions.

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Collaborators (6)

Benjamin Schäfer

Assistant Professor

Karlsruhe Institute of Technology

GERMANY

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Tobias Käfer

Karlsruhe Institute of Technology

GERMANY

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Tarek Saier

Karlsruhe Institute of Technology

GERMANY

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Henk de Regt

Professor

Radboud University

NETHERLANDS

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Kristian Gonzalez Barman

Ghent University

BELGIUM

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Mieke Boon

Professor Dr. at University of Twente

University of Twente

NETHERLANDS

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Michael Färber

Research Interests

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About

Articles (27)

Scientific Claim-Source Retrieval Revisited: A Comparative Study of Style Transfer and Re-ranking

X-VORTEX: Spatio-Temporal Contrastive Learning for Wake Vortex Trajectory Forecasting

PoeTone

Which Reaction Conditions Work on Drug-Like Molecules? Lessons from 66,000 High-Throughput Experiments

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems

Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM Inference

Large physics models: towards a collaborative approach with large language models and foundation models

Optical-access networks for smart sustainable cities

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting

SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery

Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence

Predicting Company ESG Ratings from News Articles Using Multivariate Timeseries Analysis

AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning

Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-Based Causal Discovery

SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers

Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey

Analyzing the impact of companies on AI research based on publications

Benefits of international collaboration in computer science: a case study of China, the European Union, and the United States

Biases in scholarly recommender systems: impact, prevalence, and mitigation

Cross-lingual citations in English papers: a large-scale analysis of prevalence, usage, and impact

The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings

The data set knowledge graph: Creating a linked open data source for data sets

Improving Question Answering for Event-Focused Questions in Temporal Collections of News Articles

Citation recommendation: approaches and datasets

unarXive: a large scholarly data set with publications’ full-text, annotated in-text citations, and links to metadata

Collaborators (6)

Benjamin Schäfer

Tobias Käfer

Tarek Saier

Henk de Regt

Kristian Gonzalez Barman

Mieke Boon

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