Distributed Computing
ETH Zurich

Joël Mathys

Joël Mathys

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 63
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

phone+41 44 63 20417
fax+41 44 63 21036
email

Publications

Theses & Labs

Available Theses & Labs

TitleTypeContact/SupervisorAssigned
SAT Solving with Graph Neural NetworksM/SSaku Peltonen,
Joël Mathys
available

Current Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Automated Foosball TrackingBJoël Mathys,
Till Aczel
HS 24
Neural Fluid Simulation with GNNsSJoël Mathys,
Florian Grötschla
HS 24
Stock Market PredictionMJoël Mathys,
Ruedi Delacour
HS 24
Wave Function Collapse for Graph GenerationSTill Aczel,
Joël Mathys
HS 24
Graphs in Medicine: Working with Blood Vessel NetworksMJoël Mathys,
Andreas Plesner
FS 24
Puzzle solving with Graph Neural NetworksSJoël Mathys,
Benjamin Estermann
FS 24

Past Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Improving Investment Strategies with GNNs [confidential]SFlorian Grötschla,
Joël Mathys
FS 24
Reinforcement Learning for State-Based Algorithms on Graphs [confidential]MFlorian Grötschla,
Joël Mathys
FS 24
Analyzing Deep Learning Architectures on Stock Prediction [confidential]GFlorian Grötschla,
Joël Mathys
FS 24,
Object-Centric Reasoning with Language and Code [confidential]GBenjamin Estermann,
Joël Mathys
HS 23
Exploring Activation Ensembles for Feed-Forward Neural NetworksBFlorian Grötschla,
Joël Mathys
HS 23
GNNs for TPU GraphsSJoël Mathys,
Florian Grötschla
HS 23
Train Small - Solve Big: Reinforcement Learning on Logic Puzzles using Graph Neural Networks [confidential]MBenjamin Estermann,
Joël Mathys
HS 23
Enhancing GNNs: An Exploration of Iterative Solving and Augmentation TechniquesBJoël Mathys,
Florian Grötschla
FS 23
Enhancing the Building Blocks of Language-Based Visual Reasoning for ARCMJoël Mathys,
Benjamin Estermann
FS 23
Asynchronous GNNs [confidential]GJoël Mathys,
Florian Grötschla
FS 23
Finite State Algorithm Learning on Graphs [confidential]MJoël Mathys,
Florian Grötschla
FS 23
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning [confidential]SFlorian Grötschla,
Joël Mathys
FS 23
Reinforcement Learning of TSP Heuristics with Message Passing Neural NetworksGXiaofeng Flint Fan,
Joël Mathys
FS 23,
A Generalisation Benchmark for Machine Learning Methods Predicting Fluid Flows [confidential]BFlorian Grötschla,
Joël Mathys
FS 23
A Neural-Guided Program Synthesis Approach to the Abstraction and Reasoning Challenge [confidential]GJoël Mathys,
Benjamin Estermann
HS 22
Abstraction and Reasoning Challenge - Reasoning with Language [confidential]GJoël Mathys,
Benjamin Estermann
HS 22,
Efficient Graph Drawing with GNNs using Overlay Graphs [confidential]BFlorian Grötschla,
Joël Mathys
HS 22
Exploring Graph Neural Networks and Hierarchical Structures for Traffic ForecastingBJoël Mathys,
Florian Grötschla
HS 22
Real Time Public Transport AppSJoël MathysFS 22