output
19962026
most citedSemi-Supervised Learning with Ladder Networks

582 citations

133 papers

cs.IT2026

Contrastive Predictive Coding with Compression for Enhanced Channel State Feedback in Wireless Networks

Ahmed Y. Radwan, Fahad Syed Muhammad, Matthew Baker +1

Accurate and timely channel state information (CSI) is essential for next-generation wireless systems, yet existing works treat CSI compression and CSI prediction as separate probl…

physics.optics2026★ 1 cited

Machine-learning-enabled characterization of individual ring resonators in integrated photonic lattices

Elizabeth Louis Pereira, Amin Hashemi, Faluke Aikebaier +3

Accurately determining the underlying physical parameters of individual elements in integrated photonics is increasingly difficult as device architectures become more complex. Infe…

eess.AS2025★ 1 cited

A Generalized Weighted Overlap-Add (WOLA) Filter Bank for Improved Subband System Identification

Mohit Sharma, Robbe Van Rompaey, Wouter Lanneer +1

This paper addresses the challenges in short-time Fourier transform (STFT) domain subband adaptive filtering, in particular, subband system identification. Previous studies in this…

quant-ph2025★ 3 cited

Nonstabilizerness generation in a multiparticle quantum walk

Cătălin Paşcu Moca, Doru Sticlet, Balázs Dóra +3

We investigate the generation of non-stabilizerness, or magic, in a multi-particle quantum walk by analyzing the time evolution of the stabilizer Rényi entropy . Our study con…

quant-ph2025★ 10 cited

Nonstabilizerness in open XXZ spin chains: Universal scaling and dynamics

Doru Sticlet, Balázs Dóra, Dominik Szombathy +2

Magic, or nonstabilizerness, is a crucial quantum resource, yet its dynamics in open quantum systems remain largely unexplored. We investigate magic in the open XXZ spin chain unde…

cs.DC2025★ 3 cited

Story of Two GPUs: Characterizing the Resilience of Hopper H100 and Ampere A100 GPUs

Shengkun Cui, Archit Patke, Hung Nguyen +11

This study characterizes GPU resilience in Delta, a large-scale AI system that consists of 1,056 A100 and H100 GPUs, with over 1,300 petaflops of peak throughput. We used 2.5 years…