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Current Theses for all TIK GroupsB = Bachelor, G = Group, M = Master, S = Semester |
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| title | category | type | contact/supervisor | assigned | student(s) | thesis number | edit | |
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Designing the Next ARC Challenge | M | Saku Peltonen, Andreas Plesner |
HS 25 | MA-2025-37 |   |
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Recopmression | B | Till Aczel | FS 25 | BA-2025-01 | |
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Abstract Reasoning Corpus (ARC) Challenge | M | Frédéric Berdoz | HS 24 | MA-2024-30 | |
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Adversarial examples and robust classifiers | M | Andreas Plesner | HS 24 | MA-2024-27 | |
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AI-generated Yield Curves | B | Daniela Brauckhoff, Andreas Plesner |
HS 24 | BA-2024-30 | |
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Audio Editing | M | Luca Lanzendörfer, Florian Grötschla |
HS 24 | MA-2024-35 | |
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Automated Foosball Tracking | B | Joël Mathys, Till Aczel |
HS 24 | BA-2024-12 | |
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Chaos Testing Blockchain Networks: Simulating Real-World Failures | M | Yann Vonlanthen | HS 24 | MA-2024-32 | |
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DAO Governance Aggregation | B | Arthur Gervais | HS 24 | BA-2024-11 | |
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DeepEye: Benchmarking & Generalization | B | Ard Kastrati | HS 24 | BA-2024-20 | |
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DeepEye: Benchmarking Platform | B | Ard Kastrati | HS 24 | BA-2024-19 | |
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Egocentric Action Recognition | M | Ard Kastrati | HS 24 | MA-2024-21 | |
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Empirical Analysis of Blockchain Payment Systems | B | Saku Peltonen, Lioba Heimbach |
HS 24 | BA-2024-26 | |
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Empirical Analysis of Prediction Markets | B | Lioba Heimbach, Quentin Kniep |
HS 24 | BA-2024-14 | |
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Evaluating Fast FeedForward Networks | S | Andreas Plesner | HS 24 | SA-2024-28 | |
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Foundation Models for Decoding Brain Activity - Benchmarking | B | Ard Kastrati | HS 24 | BA-2024-24 | |
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Foundation Models for Decoding Brain Activity - Models | M | Ard Kastrati | HS 24 | MA-2024-33 | |
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Giving ChatGPT a Virtual Body | S | Ard Kastrati | HS 24 | SA-2024-26 | |
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Human-aligned Compression for Robust Models | S | Andreas Plesner, Till Aczel |
HS 24 | SA-2024-27 | |
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Layer-2s and MEV | B | Lioba Heimbach, Yann Vonlanthen |
HS 24 | BA-2024-29 | |
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| LLMs for contract negotiation | M | Andreas Plesner | HS 24 | MA-2024-20 | |
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Morality in Sequential Games | B | Damien Berriaud, Andrei Constantinescu |
HS 24 | BA-2024-13 | |
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Multi-modal Contrastive Learning for Emotion Recognition | M | Ard Kastrati | HS 24 | MA-2024-31 | |
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Neural Fluid Simulation with GNNs | S | Joël Mathys, Florian Grötschla |
HS 24 | SA-2024-23 | |
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Neural Networks for EEG Data: Compression and Reconstruction Validation | S | Ard Kastrati, Luca Lanzendörfer |
HS 24 | SA-2024-25 | |
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Neural Node Overlap Removal with GNNs | B | Florian Grötschla | HS 24 | BA-2024-28 | |
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Optimizing Encoding Speed for Image Compression | M | Till Aczel | HS 24 | MA-2024-36 | |
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Order Book Reconstruction, Analysis, and Visualization | M | Luca Lanzendörfer | HS 24 | MA-2024-26 | |
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Recommender Systems for Politics | S | Frédéric Berdoz, Yann Vonlanthen |
HS 24 | SA-2024-24 | |
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Stability of Adversarial Examples | B | Andreas Plesner | HS 24 | BA-2024-27 | |
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Stock Market Prediction | M | Joël Mathys, Ruedi Delacour |
HS 24 | MA-2024-34 | |
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Text-to-Mel | B | Luca Lanzendörfer, Florian Grötschla |
HS 24 | BA-2024-15 | |
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Transfer Learning for Graph Recommendation Systems | B | Florian Grötschla, Luca Lanzendörfer |
HS 24 | BA-2024-16 | |
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Unified Model for EEG-based Eye Tracking | B | Ard Kastrati | HS 24 | BA-2024-18 | |
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View-Specific Video Compression | B | Till Aczel | HS 24 | BA-2024-25 | |
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Volatility Forecasting and Regime Detection for Options Trading | M | Frédéric Berdoz, Ruedi Delacour |
HS 24 | MA-2024-29 | |
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Voting for Coalitions | B | Andrei Constantinescu | HS 24 | BA-2024-17 | |
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Wave Function Collapse for Graph Generation | S | Till Aczel, Joël Mathys |
HS 24 | SA-2024-22 | |
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Kantian Moralists and Altruists | Game Theory | M | Damien Berriaud, Andrei Constantinescu |
HS 24 | MA-2024-28 | |
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Game Theory for Games: Algorithms and Axioms | G | Andrei Constantinescu | FS 24 | GA-2024-03 | |
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| Graphs in Medicine: Working with Blood Vessel Networks | M | Joël Mathys, Andreas Plesner |
FS 24 | MA-2024-25 | |
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Hierarchical Representations for Transformers | M | Benjamin Estermann | FS 24 | MA-2024-18 | |
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Learning from Demonstrations | G | Benjamin Estermann | FS 24 | GA-2024-01 | |
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Lightning Network + GNNs | M | Florian Grötschla, Lioba Heimbach |
FS 24 | MA-2024-07 | |
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Optimal Routing for 2D Mesh-based Analog Compute-In-Memory Accelerator Architecture | M | William Simon | FS 24 | MA-2024-09 | |
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Puzzle solving with Graph Neural Networks | S | Joël Mathys, Benjamin Estermann |
FS 24 | SA-2024-17 | |
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The Emergence of Two-Party Systems | G | Andrei Constantinescu | FS 24 | GA-2024-02 | |
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