Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask
Senane, Zineb, Cao, Lele, Valentin Leonhard Buchner, Tashiro, Yusuke, You, Lei, Herman, Pawel, Nordahl, Mats, Tu, Ruibo, Vilhelm von Ehrenheim
Published in arXiv.org (17.06.2024)
Published in arXiv.org (17.06.2024)
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Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data
Cao, Lele, Horn, Sonja, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Landgren, Henrik
Published in arXiv.org (26.09.2022)
Published in arXiv.org (26.09.2022)
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CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Cao, Lele, Vilhelm von Ehrenheim, Granroth-Wilding, Mark, Richard Anselmo Stahl, McCornack, Andrew, Catovic, Armin, Dhiana Deva Cavacanti Rocha
Published in arXiv.org (09.06.2024)
Published in arXiv.org (09.06.2024)
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Journal Article
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Cao, Lele, von Ehrenheim, Vilhelm, Granroth-Wilding, Mark, Stahl, Richard Anselmo, McCornack, Andrew, Catovic, Armin, Rocha, Dhiana Deva Cavacanti
Published in IEEE transactions on big data (29.05.2024)
Published in IEEE transactions on big data (29.05.2024)
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Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
Cao, Lele, Halvardsson, Gustaf, McCornack, Andrew, von Ehrenheim, Vilhelm, Herman, Pawel
Year of Publication 28.09.2023
Year of Publication 28.09.2023
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Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
Buchner, Valentin Leonhard, Cao, Lele, Kalo, Jan-Christoph, von Ehrenheim, Vilhelm
Year of Publication 21.09.2023
Year of Publication 21.09.2023
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Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
Cao, Lele, von Ehrenheim, Vilhelm, Krakowski, Sebastian, Li, Xiaoxue, Lutz, Alexandra
Year of Publication 18.10.2022
Year of Publication 18.10.2022
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PAUSE: Positive and Annealed Unlabeled Sentence Embedding
Cao, Lele, Larsson, Emil, von Ehrenheim, Vilhelm, Rocha, Dhiana Deva Cavalcanti, Martin, Anna, Horn, Sonja
Year of Publication 07.09.2021
Year of Publication 07.09.2021
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A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models
Cao, Lele, von Ehrenheim, Vilhelm, Berghult, Astrid, Henje, Cecilia, Stahl, Richard Anselmo, Wandborg, Joar, Stan, Sebastian, Catovic, Armin, Ferm, Erik, Ingelhag, Hannes
Year of Publication 05.06.2023
Year of Publication 05.06.2023
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Using Deep Learning to Find the Next Unicorn: A Practical Synthesis
Cao, Lele, Vilhelm von Ehrenheim, Krakowski, Sebastian, Li, Xiaoxue, Lutz, Alexandra
Published in arXiv.org (10.06.2024)
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Published in arXiv.org (10.06.2024)
Paper
PAUSE: Positive and Annealed Unlabeled Sentence Embedding
Cao, Lele, Larsson, Emil, Vilhelm von Ehrenheim, Dhiana Deva Cavalcanti Rocha, Martin, Anna, Horn, Sonja
Published in arXiv.org (07.09.2021)
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Published in arXiv.org (07.09.2021)
Paper
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models
Cao, Lele, Vilhelm von Ehrenheim, Berghult, Astrid, Henje, Cecilia, Richard Anselmo Stahl, Wandborg, Joar, Sebastian, Stan, Catovic, Armin, Ferm, Erik, Ingelhag, Hannes
Published in arXiv.org (05.06.2023)
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Published in arXiv.org (05.06.2023)
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