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cs.IT2026
Compressive Sensing - Introduction and Relations to Deep Learning
Hung-Hsu Chou, Johannes Maly, Holger Rauhut
Compressive sensing predicts that sparse vectors (signals) can be recovered from a small number of linear measurements via efficient algorithms. This finding, which dates back two…
math.NA2026
Efficient computation of the singular value decomposition with linear photonic circuits
Johannes Maly, Korbinian Neuner, Samarth Vadia
In light of today's massive data processing, digital computers are reaching fundamental performance limits due to physical limitations and energy consumption. For specific applicat…
cs.IT2026
Reliable one-bit quantization of bandlimited graph data via single-shot noise shaping
Johannes Maly, Anna Veselovska
Graph data are ubiquitous in natural sciences and machine learning. In this paper, we consider the problem of quantizing graph structured, bandlimited data to few bits per entry wh…