Frederik Boe Hüttel

Joined

September 2021

Names

Frederik Boe Hüttel (Preferred)

Emails

****@dtu.dk (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

PhD student

Technical University of Denmark (dtu.dk)

2021 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Francisco Camara Pereira

2021 – 2024

PhD Advisor

Filipe Rodrigues

2021 – 2024

Expertise

Active Learning

2021 – Present

Bayesian Deep Learning

2021 – Present

Censored Regression

2021 – Present

Publications

Mind the Gap - Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand
Frederik Boe Hüttel, Filipe Rodrigues, Francisco Câmara Pereira
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco C. Pereira
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis, Francisco N. Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Câmara Pereira
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- IEEE Trans. Intell. Transp. Syst. 2022
- Readers: Everyone
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco Pereira
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- NeurIPS 2022
- Readers: Everyone
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel, Carlos Lima Azevedo, Francisco C. Pereira
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues, Francisco C. Pereira
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CoRR 2021
- Readers: Everyone
Consistent and accurate estimation of stellar parameters from HARPS-N Spectroscopy using Deep Learning
Frederik Boe Hüttel, Line Katrine Harder Clemmensen
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- NLDL 2021
- Readers: Everyone

Co-Authors