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
Differentiable Logic Gate Networks with Classic Computer Vision EncodingSAndreas Plesner,
Till Aczel
available
Event-based data classification with Differentiable Logic Gate NetworksSAndreas Plesner,
Till Aczel
available
Extended Evaluation of GraphARCSSaku Peltonen,
Andreas Plesner
available
Fast and Efficient Language Modelling with Differentiable Logic Gate NetworksSAndreas Plesner,
Till Aczel
available
Solving Minesweeper with Differentiable Logic Gate NetworksSDavid Jenny,
Andreas Plesner
available

Current Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Normalized Vision TransformersSAndreas Plesner,
Till Aczel
FS 26
Towards Gödel Machines: Practical Self-Referential LLM SystemsSDavid Jenny,
Andreas Plesner
FS 26
Detecting Blood Vessel Networks from 3D ScansSAndreas Plesner,
Joël Mathys
HS 25
DiffLUTMTill Aczel,
Andreas Plesner
HS 25
Exploring normalized transformers MAndreas Plesner,
Till Aczel
HS 25
Neural Blood Vessel DetectionSJoël Mathys,
Andreas Plesner
HS 25
Faster DiffLogicSAndreas Plesner,
Till Aczel
FS 25

Past Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Eigenvector-Masked AutoencodersBTill Aczel,
Andreas Plesner
FS 25
AlphaZero meets ARC: Explorative Capability Acquisition through Goal-Conditioned Adversarial Curriculum Creation [confidential]MAndreas Plesner,
Benjamin Estermann
FS 25
A Survey on the Abstraction and Reasoning Corpus (2019–2025) [confidential]SAndreas PlesnerFS 25
Context-aware In-Car Recommender System [confidential]MAndreas PlesnerFS 25
Deep Differentiable Logic Gate Networks: Neuron Collapse Through a Neural Architecture Search Perspective [confidential]SAndreas Plesner,
Till Aczel
FS 25
A Comprehensive Benchmark for Graph-Based Abstract Reasoning [confidential]MSaku Peltonen,
Andreas Plesner
FS 25
Recurrent Deep Differentiable Logic Gate Networks [confidential]STill Aczel,
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 Complexity [confidential]BTill Aczel,
Andreas Plesner
FS 25
Adversarial Attacks on Machine LearningSAndreas PlesnerFS 25
The Impact of Training Data on Adversarial Examples [confidential]BAndreas Plesner,
Till Aczel
FS 25
Light Differentiable Logic Gate Networks [confidential]STill Aczel,
Andreas Plesner
FS 25
Scalability and Expressiveness of the Group-Sum Layer in Differentiable Logic Gate Networks [confidential]SAndreas Plesner,
Till Aczel
FS 25
Failing at Basic Visual Perception but Solving Complex Visual Tests? Evaluating Fundamental Visual Perception Skills of VLMs on Synthetic Datasets [confidential]BAndreas Plesner,
Frédéric Berdoz
FS 25
Benchmarking LLM Sampling Strategies [confidential]BFrédéric Berdoz,
Andreas Plesner
FS 25
Fine-tuning Data Extraction from Large Language Models [confidential]MAndreas Plesner,
Till Aczel
FS 25
rStar-ARC: Process-Preference–Guided MCTS for Stepwise Program Synthesis [confidential]BAndreas Plesner,
Benjamin Estermann
FS 25
Synthetic Data Augmentation in Medical Image Classification: How Architecture Determines UtilityBAndreas Plesner,
Till Aczel
FS 25
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
Optimizing Inventory Management with Reinforcement LearningMAndreas Plesner,
Benjamin Estermann
HS 24
Stability of Adversarial Examples [confidential]BAndreas 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