3 papers
cs.CC2026
Beyond Bilinear Complexity: What Works and What Breaks with Many Modes?
Cornelius Brand, Radu Curticapean, Petteri Kaski +4
The complexity of bilinear maps (equivalently, of -mode tensors) has been studied extensively, most notably in the context of matrix multiplication. While circuit complexity and…
cs.AI2026
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu +8
User behavior sequences in modern recommendation systems exhibit significant length heterogeneity, ranging from sparse short-term interactions to rich long-term histories. While lo…
cs.LG2025
Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy
Harry Robertshaw, Benjamin Jackson, Jiaheng Wang +4
Purpose: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure times, minimizing radiation exposure, and enhancing patient safety. However, current…