Dr.
Béni Egressy

Publications

Lending in Financial Networks
Béni Egressy, Andreas Plesner and Roger Wattenhofer.
25th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA), Kyoto, Japan, November 2024.
BibTeX
Provably Powerful Graph Neural Networks for Directed Multigraphs (Oral presentation)
Béni Egressy, Luc von Niederhäusern, Jovan Blanusa, Erik Altman, Roger Wattenhofer and Kubilay Atasu.
38th Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024.
External BibTeX
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
Erik Altman, Jovan Blanuša, Luc Von Niederhäusern, Béni Egressy, Andreea Anghel and Kubilay Atasu.
37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, December 2023.
External BibTeX
GRAPHTESTER: Exploring Theoretical Boundaries of GNNs on Graph Datasets
Eren Akbiyik, Florian Grötschla and Béni Egressy and Roger Wattenhofer.
Data-centric Machine Learning Research (DMLR@ICML), Honolulu, Hawaii, July 2023.
BibTeX
A Plug-and-Play Method for Controlled Text Generation
Damian Pascual, Béni Egressy, Clara Meister, Ryan Cotterell and Roger Wattenhofer.
Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021, Punta Cana, Dominican Republic, November 2021.
BibTeX
Two-Agent Tree Evacuation
Béni Egressy, Henri Devillez, Robin Fritsch and Roger Wattenhofer.
28th International Colloquium on Structural Information and Communication Complexity (SIROCCO), Wrocław, Poland, June 2021.
External BibTeX
Brain2Word: Improving Brain Decoding Methods and Evaluation (Oral presentation)
Nicolas Affolter, Béni Egressy, Damian Pascual and Roger Wattenhofer.
Medical Imaging Meets Neurips Workshop, Online, December 2020.
BibTeX

Theses & Labs

	Title	Type	Contact/Supervisor	Assigned	Student(s)
Past Theses & Labs
	Improving Non-Linear Redundancy Reduction in Self-Supervised Contrastive Learning [confidential]	G	Béni Egressy	HS 23
	Personalized Federated Learning with Pre-Trained GNNs [confidential]	M	Béni Egressy	HS 23
	GNN Pretraining	M	Béni Egressy	HS 23
	Cascaded BeamSearch: Plug-and-Play Terminology-Forcing For Neural Machine Translation [confidential]	S	Béni Egressy	HS 22
	Graph Neural Networks for Financial Fraud Detection [confidential]	M	Béni Egressy	HS 22
	A Practical Study on Anomaly Detection for a Hydro-Power Plant [confidential]	M	Béni Egressy	FS 22
	Inconvenient Data Sets for Graph Neural Networks [confidential]	B	Béni Egressy, Florian Grötschla	FS 22
	Unreasonable Effectiveness of Edge Features: Formalization and Applications of Edge Pre-coloring in Color Refinement [confidential]	S	Béni Egressy, Florian Grötschla	FS 22
	Benchmarking Graph Neural Network Models [confidential]	S	Béni Egressy, Florian Grötschla	FS 22
	What Can Neural Networks Learn? Set Functions [confidential]	B	Béni Egressy	FS 22
	What can Neural Networks learn? - Set Functions [confidential]	G	Béni Egressy	FS 22	,
	Benchmarking Graph Neural Networks [confidential]	M	Béni Egressy, Ard Kastrati	HS 21
	Applying Predictability Minimization onto Unsupervised Contrastive Representation Learning [confidential]	B	Béni Egressy	HS 21
	Understanding Reinforcement Learning with 6nimmt!	G	Béni Egressy	HS 21	,
	Improving Brain Decoding Methods and Evaluation	M	Béni Egressy, Damian Pascual	FS 21
	Region Based File Sharing	B	Robin Fritsch, Béni Egressy	FS 21
	Multi Agent Reinforcement Learning for Game Theory: Financial Graphs [confidential]	M	Béni Egressy, Pál András Papp	FS 21
	Conditional Language Generation [confidential]	S	Damian Pascual, Béni Egressy	HS 20
	Graph Neural Networks in Finance	S	Lukas Faber, Béni Egressy	HS 20
	Infection Spreading in Graphs	S	Pál András Papp, Béni Egressy	HS 20
	Smart Vote [confidential]	B	Béni Egressy, Robin Fritsch	HS 20
	Brain2Word: Decoding Brain Activity for Language Generation	M	Damian Pascual, Béni Egressy	FS 20
	An Algorithm For Tree Evacuation [confidential]	B	Béni Egressy, Henri Devillez	FS 20
	Graph Evacuation [confidential]	S	Béni Egressy	FS 20

Dr. Béni Egressy

Publications

Theses & Labs

Past Theses & Labs

Dr.
Béni Egressy