Oliver De Candido

Researcher, dSPACE GmbH

Joined

May 2021

Names

Oliver De Candido (Preferred)

Emails

****@tum.de (Confirmed)

****@pm.me (Confirmed)

Personal Links

Career & Education History

Researcher

dSPACE GmbH (dspace.de)

2025 – Present

PhD student

Technical University Munich (tum.de)

2018 – 2023

MS student

Technical University Munich (tum.de)

2014 – 2017

Undergrad student

Technical University Munich (tum.de)

2011 – 2014

Advisors, Relations & Conflicts

PhD Advisor

Wolfgang Utschick

2018 – 2023

PhD Advisor

Michael Botsch

2018 – 2023

Expertise

No areas of expertise listed

Publications

Latent Generative Models with Tunable Complexity for Compressed Sensing and other Inverse Problems
Sean Gunn, PAul HAnd, Jorio Cocola, Oliver De Candido, Vaggos Chatziafratis
- Submitted to ICLR 2026
- Readers: Everyone
Encouraging Validatable Features in Machine Learning-Based Highly Automated Driving Functions
Oliver De Candido, Michael Koller, Wolfgang Utschick
- Published: 01 Jan 2023, Last Modified: 17 Aug 2023
- IEEE Trans. Intell. Veh. 2023
- Readers: Everyone
Detecting an Offset-Adjusted Similarity Score based on Duchenne Smiles
Maximilian Henneberg, Chloe Eghtebas, Oliver De Candido, Kai Kunze, Jamie A. Ward
- Published: 01 Jan 2023, Last Modified: 17 Aug 2023
- CHI Extended Abstracts 2023
- Readers: Everyone
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows
Jia Yu Tee, Oliver De Candido, Wolfgang Utschick, Philipp Geiger
- Published: 01 Jan 2023, Last Modified: 17 Aug 2023
- CoRR 2023
- Readers: Everyone
Evaluating Robust Perceptual Losses for Image Reconstruction
Tobias Uelwer, Felix Michels, Oliver De Candido
- Published: 06 Dec 2022, Last Modified: 05 May 2023
- ICBINB poster
- Readers: Everyone
An Analysis of Distributional Shifts in Automated Driving Functions in Highway Scenarios
Oliver De Candido, Xinyang Li, Wolfgang Utschick
- Published: 01 Jan 2022, Last Modified: 17 Aug 2023
- VTC Spring 2022
- Readers: Everyone
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
Philipp Joppich, Sebastian Dorn, Oliver De Candido, Wolfgang Utschick, Jakob Knollmüller
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone
Learning to Detect Adversarial Examples Based on Class Scores
Tobias Uelwer, Felix Michels, Oliver De Candido
- 2021 (modified: 23 Dec 2021)
- KI 2021
- Readers: Everyone
Learning to Detect Adversarial Examples Based on Class Scores
Tobias Uelwer, Felix Michels, Oliver De Candido
- Published: 01 Jan 2021, Last Modified: 15 Aug 2023
- CoRR 2021
- Readers: Everyone
Parameter Sharing Reinforcement Learning for Modeling Multi-Agent Driving Behavior in Roundabout Scenarios
Fabian Konstantinidis, Ulrich Hofmann, Moritz Sackmann, Jörn Thielecke, Oliver De Candido, Wolfgang Utschick
- Published: 01 Jan 2021, Last Modified: 17 Aug 2023
- ITSC 2021
- Readers: Everyone

View all 22 publications

Co-Authors

View all 33 co-authors