Distributed Computing
ETH Zurich

Andreas Plesner

Andreas Plesner

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 95
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

email

Publications

Theses & Labs

Available Theses & Labs

TitleTypeContact/SupervisorAssigned
Detecting Blood Vessel Networks from 3D ScansSAndreas Plesner,
Joël Mathys
available

Current Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Eigenvector-Masked AutoencodersBTill Aczel,
Andreas Plesner
FS 25
AlphaZero Meets ARCMAndreas Plesner,
Benjamin Estermann
FS 25
ARC Literature ReviewSAndreas PlesnerFS 25
Deep Differentiable Logic Gate Networks: Neuron Collapse Through a Neural Architecture Search PerspectiveSAndreas Plesner,
Till Aczel
FS 25
Designing the Next ARC ChallengeMSaku Peltonen,
Andreas Plesner
FS 25
Effectiveness of Multi-Scale Aggregation for Adversarial RobustnessBAndreas Plesner,
Till Aczel
FS 25
Evaluating AI-Generated Image Detection Across Resolution and ComplexityBTill Aczel,
Andreas Plesner
FS 25
Exploring adversarial conceptsSAndreas PlesnerFS 25
Faster DiffLogicSAndreas Plesner,
Till Aczel
FS 25
Impact of Training Data on Adversarial ExamplesBAndreas Plesner,
Till Aczel
FS 25
Increasing Expressiveness of DiffLogicSAndreas Plesner,
Till Aczel
FS 25
IQ of VLMs – can they really reason?BAndreas Plesner,
Frédéric Berdoz
FS 25
LLM Sampling MethodsBFrédéric Berdoz,
Andreas Plesner
FS 25
NeRF to evaluate RobustnessMAndreas Plesner,
Till Aczel
FS 25
RSTAR Meets ARCBAndreas Plesner,
Benjamin Estermann
FS 25
Synthetic Data as a Data AugmentationBAndreas Plesner,
Till Aczel
FS 25
Optimizing Inventory ManagementMAndreas Plesner,
Benjamin Estermann
HS 24
Stability of Adversarial ExamplesBAndreas PlesnerHS 24

Past Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Rethinking Adversarial Examples [confidential]MAndreas PlesnerHS 24
Yield Curve Approximation and Prediction with Recurrent Neural Networks [confidential]BDaniela Brauckhoff,
Andreas Plesner
HS 24
Computing with Asynchronous Cellular Automata [confidential]MFlorian Grötschla,
Andreas Plesner
HS 24
Breaking Image CAPTCHAs and designing a new CAPTCHA [confidential]MAndreas PlesnerHS 24
FastFeedForward Networks in Vision Transformers [confidential]SAndreas PlesnerHS 24
Human-aligned Compression for Robust Models [confidential]SAndreas Plesner,
Till Aczel
HS 24
ACORD: An Expert-Annotated Dataset for Contract Clause Retrieval [confidential]MAndreas PlesnerHS 24
Breaking Google’s reCAPTCHAv3 [confidential]SAndreas PlesnerFS 24
Breaking Google’s reCAPTCHAv3 - Getting good cookies [confidential]SAndreas PlesnerFS 24
Breaking Google’s reCAPTCHAv3 - How are humans classified [confidential]SAndreas PlesnerFS 24
Improving the Data Quality of ConfSearch using LLMsSAndreas PlesnerFS 24
Data Driven Anomaly Detection for Rails using In-service Railway VehiclesBAndreas PlesnerFS 24
Data Driven Anomaly Detection of Springs in In-service Railway Vehicles [confidential]BAndreas PlesnerFS 24
Sybil Detection using Graph Neural Networks [confidential]MAndreas PlesnerFS 24
Automated Vascular Graph Extraction [confidential]MJoël Mathys,
Andreas Plesner
FS 24
Jigsaw Puzzle Solver using Machine Learning [confidential]SAndreas Plesner,
Till Aczel
FS 24
Reconstructing ODEs for Railway Vehicles Using Machine Learning [confidential]BAndreas PlesnerFS 24
Using Physics-Informed Neural Networks to Predict Railway IrregularitiesMAndreas PlesnerFS 24
Best Pokémon TeamBAndreas PlesnerHS 23
I’m a Robot. Solving CAPTCHAs with Advanced Machine Learning Techniques [confidential]SAndreas PlesnerHS 23
Automated Positioning for Smart Lighting [confidential]MJudith Beestermöller,
Andreas Plesner
HS 23
Generative Models for Financial Data: Applications to Initial Margin and its Backtesting [confidential]MAndreas PlesnerFS 23