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2024 |
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Andreas Plesner, Hans Henrik Brandenborg Sřrensen and Sřren Hauberg: Accurate Computation of the Logarithm of Modified Bessel Functions on GPUs 38th ACM International Conference on Supercomputing June 2024. Inproceedings [Details] [BibTeX] [Paper as PDF] |
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Robin Fritsch and Andrea Canidio: Measuring Arbitrage Losses and Profitability of AMM Liquidity 3rd International Workshop on Cryptoasset Analytics (CAAW@WEB) Singapur, Singapur, May 2024. Inproceedings [Details] [BibTeX] [External Link] [Paper as PDF] |
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Hei Yi Mak, Flint Xiaofeng Fan, Luca Lanzendörfer, Cheston Tan, Wei Tsang Ooi and Roger Wattenhofer: CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening The Sixteenth Workshop on Adaptive and Learning Agents (ALA@AAMAS) Auckland, New Zealand, May 2024. Inproceedings [Details] [BibTeX] [External Link] |
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Lioba Heimbach, Vabuk Pahari and Eric Schertenleib: Non-Atomic Arbitrage in Decentralized Finance IEEE Symposium on Security and Privacy (S&P) San Francisco, California, USA, May 2024. Inproceedings [Details] [BibTeX] [Paper as PDF] [Slides as PDF] |
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Yuta Ono, Till Aczél, Benjamin Estermann and Roger Wattenhofer : SUPClust: Active Learning at the Boundaries 5th Workshop on practical ML for limited/low resource settings (PML4LRS@ICLR) Vienna, Austria, May 2024. Misc [Details] [BibTeX] [Paper as PDF] |
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Paul Doucet, Benjamin Estermann, Till Aczél and Roger Wattenhofer : Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training 5th Workshop on practical ML for limited/low resource settings (PML4LRS@ICLR) Vienna, Austria, May 2024. Misc [Details] [BibTeX] [Paper as PDF] |
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Florian Grötschla, Joël Mathys, Robert Veres and Roger Wattenhofer: CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs 12th International Conference on Learning Representations (ICLR) Vienna, Austria, May 2024. Inproceedings [Details] [BibTeX] |
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Peter Müller, Lukas Faber, Karolis Martinkus and Roger Wattenhofer: GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks 12th International Conference on Learning Representations (ICLR) Vienna, Austria, May 2024. Inproceedings [Details] [BibTeX] [Paper as PDF] |
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Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin and Roger Wattenhofer: Efficient and Scalable Graph Generation through Iterative Local Expansion 12th International Conference on Learning Representations (ICLR) Vienna, Austria, May 2024. Inproceedings [Details] [BibTeX] [Paper as PDF] |
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Robin Fritsch, Younjoo Lee, Adrian Meier, Kanye Ye Wang and Roger Wattenhofer: The Impact of Core Constraints on Truthful Bidding in Combinatorial Auctions Theoretical Computer Science, Volume 993 April 2024. Article [Details] [BibTeX] [External Link] [Paper as PDF] |
