Vilhelm von Ehrenheim

According to our database, Vilhelm von Ehrenheim authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Prompt Tuned Embedding Classification for Industry Sector Allocation.

Valentin Leonhard Buchner, Lele Cao, Jan-Christoph Kalo, Vilhelm von Ehrenheim

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask.

Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification.

Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems.

Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer.

Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman

CoRR, 2023

A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models.

Lele Cao, Vilhelm von Ehrenheim, Astrid Berghult, Cecilia Henje, Richard Anselmo Stahl, Joar Wandborg, Sebastian Stan, Armin Catovic, Erik Ferm, Hannes Ingelhag

CoRR, 2023

2022

Using Deep Learning to Find the Next Unicorn: A Practical Synthesis.

Lele Cao, Vilhelm von Ehrenheim, Sebastian Krakowski, Xiaoxue Li, Alexandra Lutz

CoRR, 2022

Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data.

Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

PAUSE: Positive and Annealed Unlabeled Sentence Embedding.

Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021