output
20182026
most citedGrover on SIMON

50 citations

36 papers

cs.LG2026★ 3 cited

Shortcut Learning in Binary Classifier Black Boxes: Applications to Voice Anti-Spoofing and Biometrics

Md Sahidullah, Hye-jin Shim, Rosa Gonzalez Hautamäki +1

The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidd…

quant-ph2026

Tensor-based phase difference estimation on time series analysis

Shu Kanno, Kenji Sugisaki, Rei Sakuma +3

We propose a phase-difference estimation algorithm based on the tensor-network circuit compression, leveraging time-evolution data to pursue scalability and higher accuracy on a qu…

math.RA2025★ 1 cited

Universal Coacting Hopf Algebra of a finite-dimensional Algebra over an Operad

Saikat Goswami, Satyendra Kumar Mishra, Suman Pattanayak

A. L. Agore and G. Militaru constructed a new invariant (a ``universal coacting Hopf algebra") for some finite-dimensional binary quadratic algebras such as Lie/Leibniz algebras, a…

quant-ph2025★ 4 cited

Quantum phase estimation based filtering: performance analysis and application to low-energy spectral calculation

Rei Sakuma, Kaito Wada, Shu Kanno +5

Filtering is an important technique in quantum computing used for isolating or enhancing some specific states of quantum many-body systems. In this paper, we analyze the performanc…

eess.IV2025★ 18 cited

Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases

K. A. Muthukumar, Dhruva Nandi, Priya Ranjan +7

Cardiovascular diseases (CVD) are a predominant health concern globally, emphasizing the need for advanced diagnostic techniques. In our research, we present an avant-garde methodo…

eess.AS2025★ 5 cited

Overview of Automatic Speech Analysis and Technologies for Neurodegenerative Disorders: Diagnosis and Assistive Applications

Shakeel A. Sheikh, Md. Sahidullah, Ina Kodrasi

Advancements in spoken language technologies for neurodegenerative speech disorders are crucial for meeting both clinical and technological needs. This overview paper is vital for…