We introduce ReStyle3D, a novel framework for scene-level appearance transfer from a single style image to a real-world scene represented by multiple views. This method combines explicit semantic ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...

At The Indicator, we’ve been following the conditions in Venezuela over the years. In 2024 we covered how Venezuela’s economy went into freefall, and have been checking in with an economist there ...

Putting on a show as grand as the Times Square Ball Drop in New York City is quite the challenge. To ensure things run smoothly ahead of the major celebrations, organizers of the New Year's Eve ...

Abstract: The framework of integral quadratic constraints is used to perform an analysis of gradient descent with varying step sizes. Two performance metrics are considered: convergence rate and noise ...

Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...