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Found 4 papers, 1 papers with code
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
In this paper, we delve into the patent approval pre-diction task and unveil that simple domain-specific graph methods outperform enlarging the model, using the intrinsic dependencies within the patent data.
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform
In this paper, we present two variations of an algorithm for signal reconstruction from one-bit or two-bit noisy observations of the discrete Fourier transform (DFT).
Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor
Measurement of spatial fields is of interest in environment monitoring.
Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise
The images are oversampled over their Nyquist rate in the FCT domain.
