Evolutionary algorithms that use runtime migration of detector processes to reduce latency in event-based systems. - Christoffer Löffler; Christopher Mutschler; Michael Philippsen (AHS, 2013)

Predictive load management in smart grid environments. - Christopher Mutschler; Christoffer Löffler; Nicolas Witt; Thorsten Edelhäußer; Michael Philippsen (DEBS, 2014)

Simulating the Energy Management on Smartphones Using Hybrid Modeling Techniques. - Ibrahim Alagöz; Christoffer Löffler; Vitali Schneider; Reinhard German (MMB/DFT, 2014)

Approximative event processing on sensor data streams. - Christoffer Löffler; Christopher Mutschler; Michael Philippsen (DEBS, 2015)

Evaluation Criteria for Inside-Out Indoor Positioning Systems Based on Machine Learning. - Christoffer Löffler; Sascha Riechel; Janina Fischer; Christopher Mutschler (IPIN, 2018)

Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems. - Lorenz Gorse; Christoffer Löffler; Christopher Mutschler; Michael Philippsen (WPNC, 2018)

ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization. - Felix Ott 001; Tobias Feigl; Christoffer Löffler; Christopher Mutschler (CVPR Workshops, 2020)

Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments. - Tobias Feigl; Andreas Porada; Steve Steiner; Christoffer Löffler; Christopher Mutschler; Michael Philippsen (VISIGRAPP (1: GRAPP), 2020)

A Sense of Quality for Augmented Reality Assisted Process Guidance. - Anes Redzepagic; Christoffer Löffler; Tobias Feigl; Christopher Mutschler (ISMAR Adjunct, 2020)

Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML. - Christoffer Löffler; Christian Nickel; Christopher Sobel; Daniel Dzibela; Jonathan Braat; Benjamin Gruhler; Philipp Woller; Nicolas Witt; Christopher Mutschler (ECML/PKDD (5), 2020)

IALE: Imitating Active Learner Ensembles. - Christoffer Löffler; Karthik Ayyalasomayajula; Sascha Riechel; Christopher Mutschler (CoRR, 2020)

IALE: Imitating Active Learner Ensembles. - Christoffer Löffler; Christopher Mutschler (J. Mach. Learn. Res., 2022)

Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. - Christoffer Löffler; Luca Reeb; Daniel Dzibela; Robert Marzilger; Nicolas Witt; Björn M. Eskofier; Christopher Mutschler (ACM Trans. Intell. Syst. Technol., 2022)

Active Learning of Ordinal Embeddings: A User Study on Football Data. - Christoffer Löffler; Kion Fallah; Stefano Fenu; Dario Zanca; Björn M. Eskofier; Christopher John Rozell; Christopher Mutschler (Trans. Mach. Learn. Res., 2023)

Active Deep Learning of Representations for Similarity Search. - Christoffer Löffler (2023)

Predicting potentially unfair clauses in Chilean terms of services with natural language processing. - Christoffer Löffler; Andrea Martínez Freile; Tomás Rey Pizarro (CoRR, 2025)

Understanding Cross-Model Perceptual Invariances Through Ensemble Metamers. - Lukas Boehm; Jonas Leo Mueller; Christoffer Löffler; Leo Schwinn; Björn M. Eskofier; Dario Zanca (CoRR, 2025)

Effective Data Pruning through Score Extrapolation. - Sebastian Schmidt 006; Prasanga Dhungel; Christoffer Löffler; Björn Nieth; Stephan Günnemann; Leo Schwinn (CoRR, 2025)

Don't get me wrong: How to apply deep visual interpretations to time series. - Christoffer Löffler; Wei-Cheng Lai; Dario Zanca; Lukas Schmidt; Björn M. Eskofier; Christopher Mutschler (Appl. Intell., 2025)