3 papers
cs.CV2026
polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs
Wenhao Zhang, Ramin Ramezani, Tao Han +2
Modern image-analysis pipelines often convert images into structured semantic variables, such as facial attributes, object concepts, and scene descriptors. Learning directed depend…
cs.LG2026
Cross-Species Transfer Learning for Electrophysiology-to-Transcriptomics Mapping in Cortical GABAergic Interneurons
Theo Schwider, Ramin Ramezani
Single-cell electrophysiological recordings provide a powerful window into neuronal functional diversity and offer an interpretable route for linking intrinsic physiology to transc…
cs.LG2024
Transformer models as an efficient replacement for statistical test suites to evaluate the quality of random numbers
Rishabh Goel, YiZi Xiao, Ramin Ramezani
Random numbers are incredibly important in a variety of fields, and the need for their validation remains important for safety. A Quantum Random Number Generator (QRNG) can theoret…