Robotics and Semantic Systems
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- 2026
-
Mark
GPify : leveraging the combined strength of normalizing flow and softmax for an out-of-distribution aware confidence score
Kristoffersson Lind, Simon LU ; Triebel, Rudolph and Krueger, Volker LU
(2026)
In International Journal of Computer Vision
134.
- Contribution to journal › Article
-
Mark
Normalizing flows are capable models for bi-manual visuomotor policy
Li, Jialong LU
; Kristoffersson Lind, Simon
LU
; Xie, Wenrui
LU
; Stenmark, Maj
LU
and Krueger, Volker
LU
(2026)
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Designing for dealing with drone dilemmas : ten trade-offs in unmanned aircraft systems' human systems integration
Woltjer, Rogier LU
; Prem Maben, Rohith
LU
; Woodlock, John
LU
; Tyllström, Rikard
LU
and van Zyl, Christo
LU
(2026)
p.265-281
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Uncertainty estimation for adaptable and reliable robotic vision
(2026)
- Thesis › Doctoral thesis (compilation)
- 2025
-
Mark
Bayesian optimization across the spectrum of knowledge : enhancing efficiency through beliefs, information and assumptions
(2025)
- Thesis › Doctoral thesis (compilation)
-
Mark
EzSkiROS : enhancing robot skill composition with embedded DSL for early error detection
Rizwan, Momina LU
; Reichenbach, Christoph
LU
; Caldas, Ricardo
; Mayr, Matthias
LU
and Krueger, Volker
LU
(2025)
In Frontiers in robotics and AI
11(2024).
- Contribution to journal › Article
-
Mark
Bayesian optimization in high dimensions : a journey through subspaces and challenges
Papenmeier, Leonard LU
(2025)
- Thesis › Doctoral thesis (compilation)
-
Mark
Unified framework for entropy search and expected improvement in Bayesian optimization
Cheng, Nuojin ; Papenmeier, Leonard LU
; Becker, Stephen
and Nardi, Luigi
LU
(2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Exploring exploration in Bayesian 0ptimization
Papenmeier, Leonard LU
; Cheng, Nuojin
; Becker, Stephen
and Nardi, Luigi
LU
(2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Understanding high-dimensional Bayesian optimization
Papenmeier, Leonard LU
; Poloczek, Matthias
and Nardi, Luigi
LU
(2025)
42nd International Conference on Machine Learning, ICML 2025
267.
p.47902-47923
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding