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Christoffer Marco Löffler

PhD Student

Friedrich-Alexander University Erlangen-Nuremberg

Valparaíso, Chile

Líneas de Investigación


Machine Learning with few labeled data, i.e., Active Learning and Information Retrieval, and also time-series processing, i.e., XAI, model compression, tinyML

Educación

  •  Computer Science, FRIEDRICH-ALEXANDER UNIVERSITAT ERLANGEN-NURNBERG. Alemania, 2015
  •  Computer Science, FRIEDRICH-ALEXANDER UNIVERSITAT ERLANGEN-NURNBERG. Alemania, 2012

Experiencia Académica

  •   Research Associate Full Time

    FRIEDRICH-ALEXANDER UNIVERSITAT ERLANGEN-NURNBERG

    Erlangen, Alemania

    2019 - 2022

  •   Research Associate Full Time

    Fraunhofer Institute for Integrated Circuits (IIS)

    Nuremberg, Alemania

    2015 - 2019

  •   Senior Scientist Part Time

    Fraunhofer Institute for Integrated Circuits (IIS)

    Nuremberg, Alemania

    2021 - 2022

  •   Research Associate Part Time

    Fraunhofer Institute for Integrated Circuits (IIS)

    Nuremberg, Alemania

    2019 - 2020

  •   Visiting Scholar Other

    GEORGIA INSTITUTE OF TECHNOLOGY

    Atlanta, Estados Unidos

    2021 - 2022

Premios y Distinciones

  •   International Research Visits for Computer Scientists (IFI)

    DEUTSCHE AKADEMISCHE AUSTAUSCHDIENST

    Alemania, 2021

    International Research Visits for Computer Scientists (IFI) Scholarship from German Academic Exchange Service (DAAD) for research visit at Georgia Institute of Technology, GA.


 

Article (12)

Don't get me wrong: How to apply deep visual interpretations to time series
Predicting potentially abusive clauses in Chilean terms of services with natural language processing
Autonomous Parameter Balance in Population-Based Approaches: A Self-Adaptive Learning-Based Strategy
Active Learning of Ordinal Embeddings: A User Study on Football Data
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories
IALE: Imitating Active Learner Ensembles
Automated Quality Assurance for Hand-Held Tools via Embedded Classification and AutoML
A Sense of Quality for Augmented Reality Assisted Process Guidance
Localization Limitations of ARCore, ARKit, and Hololens in Dynamic Large-scale Industry Environments
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
Simulating the Energy Management on Smartphones Using Hybrid Modeling Techniques
Evolutionary Algorithms that use Runtime Migration of Detector Processes to Reduce Latency in Event-Based Systems

BookSection (2)

Learning with Limited Labelled Data
Sequence Based Learning

ConferencePaper (4)

Recipes for Post-training Quantization of Deep Neural Networks
Optical Camera Communication for Active Marker Identification in Camera-based Positioning Systems
Evaluation criteria for inside-out indoor positioning systems based on machine learning
Predictive load management in smart grid environments

ConferencePoster (1)

Approximative event processing on sensor data streams

Patent (2)

Apparatus, method and computer program for improving the performance of an event-based distributed analysis system
Method to determine a present position of an object, positioning system, tracker and computer program
1
Emanuel Vega

Académico

Escuela de Ingeniería Informática

Pontificia Universidad Católica de Valparaíso

Valparaíso, Chile

21
Christoffer Löffler

PhD Student

Friedrich-Alexander University Erlangen-Nuremberg

Valparaíso, Chile