3 papers
cs.LG2026
Estimation of Energy-dissipation Lower-bounds for Neuromorphic Learning-in-memory
Zihao Chen, Faiek Ahsan, Johannes Leugering +2
Neuromorphic or neurally-inspired optimizers rely on local but parallel parameter updates to solve problems that range from quadratic programming to Ising machines. An ideal realiz…
math.CO2025
Mixing and Merging Metric Spaces using Directed Graphs
Mahir Bilen Can, Shantanu Chakrabartty
Let be metric spaces, where is a distance function for . Let denote the set theoreti…
eess.SY2024
KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs
Ankita Nandi, Krishil Gandhi, Mahendra Pratap Singh +2
Diverse computing paradigms have emerged to meet the growing needs for intelligent energy-efficient systems. The Margin Propagation (MP) framework, being one such initiative in the…