2 citations · 7 across the 24 of their papers we have counts for
5 papers · 1 filter
Event Embedding of Protein Networks : Compositional Learning of Biological Function
Antonin Sulc
In this work, we study whether enforcing strict compositional structure in sequence embeddings yields meaningful geometric organization when applied to protein-protein interaction…
Modal Logical Neural Networks for Financial AI
Antonin Sulc
The financial industry faces a critical dichotomy in AI adoption: deep learning often delivers strong empirical performance, while symbolic logic offers interpretability and rule a…
Modal Logic Neural Networks
Antonin Sulc, Noor Naddour
Neural Networks are indispensable to natural sciences and society. Their impact extends from applications in public health to workforce productivity. Here, we introduce Modal Logic…
Unsupervised Anomaly Detection in ALS EPICS Event Logs
Antonin Sulc, Thorsten Hellert, Steven Hunt
This paper introduces an automated fault analysis framework for the Advanced Light Source (ALS) that processes real-time event logs from its EPICS control system. By treating log e…
Event2Vec: A Geometric Approach to Learning Composable Representations of Event Sequences
Antonin Sulc
The study of neural representations, both in biological and artificial systems, is increasingly revealing the importance of geometric and topological structures. Inspired by this,…