1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Conditional Clifford-Steerable CNNs for PDE Modeling
Bálint László Szarvas, Maksim Zhdanov
We introduce Conditional Clifford-Steerable CNNs (C-CSCNNs), a unified framework that incorporates equivariance to arbitrary pseudo-Euclidean groups and significantly improves the…
cs.PF2025★ 1 cited
FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents
Sándor Battaglini-Fischer, Nishanthi Srinivasan, Bálint László Szarvas +2
Large Language Model (LLM) services such as ChatGPT, DALLE, and Cursor have quickly become essential for society, businesses, and individuals, empowering applications such as chatb…