Vilhelm von Ehrenheim

14 papers A* 2A 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification.
IEEE Trans. Big Data
Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha
2024 — conf
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems.
ICANN (9)
Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman
2024 A* conf
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification.
KDD
Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha
2024 — conf
Prompt Tuned Embedding Classification for Industry Sector Allocation.
NAACL (Industry Track)
Valentin Leonhard Buchner, Lele Cao, Jan-Christoph Kalo, Vilhelm von Ehrenheim
2024 A* conf
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask.
KDD
Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim
2024 J jnl
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask.
CoRR
Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim
2023 J jnl
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models.
CoRR
Lele Cao, Vilhelm von Ehrenheim, Astrid Berghult, Cecilia Henje, Richard Anselmo Stahl, Joar Wandborg, Sebastian Stan, Armin Catovic, Erik Ferm, Hannes Ingelhag
2023 J jnl
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification.
CoRR
Lele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha
2023 J jnl
Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer.
CoRR
Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman
2022 A conf
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data.
CIKM
Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren
2022 J jnl
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data.
CoRR
Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren
2022 J jnl
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis.
CoRR
Lele Cao, Vilhelm von Ehrenheim, Sebastian Krakowski, Xiaoxue Li, Alexandra Lutz
2021 — conf
PAUSE: Positive and Annealed Unlabeled Sentence Embedding.
EMNLP (1)
Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn
2021 J jnl
PAUSE: Positive and Annealed Unlabeled Sentence Embedding.
CoRR
Lele Cao, Emil Larsson, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Anna Martin, Sonja Horn