1 citations · 1 across the 5 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CR2023★ 1 cited
Optimizing watermarks for large language models
Bram Wouters
With the rise of large language models (LLMs) and concerns about potential misuse, watermarks for generative LLMs have recently attracted much attention. An important aspect of suc…
cs.LG2023
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation
Floris Holstege, Bram Wouters, Noud van Giersbergen +1
Out-of-distribution generalization in neural networks is often hampered by spurious correlations. A common strategy is to mitigate this by removing spurious concepts from the neura…
stat.ME2023
Noise reduction for functional time series
Cees Diks, Bram Wouters
A novel method for noise reduction in the setting of curve time series with error contamination is proposed, based on extending the framework of functional principal component anal…