output
20182026
most citedReconstruction of tokamak plasma safety factor profile using deep learning

15 citations

7 papers

quant-ph2026

A memory-information window in finite-duration quantum control

Doyeol, Ahn

Environmental noise is a major source of decoherence and errors in quantum systems. In a non-Markovian environment, the noise has a finite correlation time, and the system can reta…

cs.AI2026

Executable World Models for ARC-AGI-3 in the Era of Coding Agents

Sergey Rodionov

We evaluate an initial coding-agent system for ARC-AGI-3 in which the agent maintains an executable Python world model, verifies it against previous observations, refactors it towa…

cs.PF2025★ 1 cited

EDAN: Towards Understanding Memory Parallelism and Latency Sensitivity in HPC

Siyuan Shen, Mikhail Khalilov, Lukas Gianinazzi +6

Resource disaggregation is a promising technique for improving the efficiency of large-scale computing systems. However, this comes at the cost of increased memory access latency d…

math.CO2022★ 1 cited

Spectral Theory of the Nazarov-Sklyanin Lax Operator

Ryan Mickler, Alexander Moll

In their study of Jack polynomials, Nazarov-Sklyanin introduced a remarkable new graded linear operator where is the ring of symmetr…

physics.plasm-ph2022★ 15 cited

Reconstruction of tokamak plasma safety factor profile using deep learning

Xishuo Wei, Ge Dong, Shuying Sun +3

In tokamak operations, accurate equilibrium reconstruction is essential for reliable real-time control and realistic post-shot instability analysis. The safety factor (q) profile d…

cs.LG2020★ 3 cited

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems

Zhenge Jia, Zhepeng Wang, Feng Hong +3

Life-threatening ventricular arrhythmias (VA) are the leading cause of sudden cardiac death (SCD), which is the most significant cause of natural death in the US. The implantable c…