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In recent years, there has been ample evidence that Type Ia supernova (SNe Ia) with high Si II velocities n…

Images captured in poorly lit conditions are often corrupted by acquisition noise. Leveraging recent advanc…

Symmetry plays a key role in determining the physical properties of materials. By Neumann's principle, the …

Autonomous racing with scaled race cars has gained increasing attention as an effective approach for develo…

We consider a versatile matrix model of the form ${\bf A}+i {\bf B}$, where ${\bf A}$ and ${\bf B}$ are rea…

In this paper, we establish a relation between two seemingly unrelated concepts for solving first-order hyp…

Quantum measurements are our eyes to the quantum systems consisting of a multitude of microscopic degrees o…

Variational autoencoders (VAEs) are one of the deep generative models that have experienced enormous succes…

Color centers in diamonds have emerged as a leading solid-state platform for advancing quantum technologies…

Magnetic skyrmions are vortex-like quasiparticles characterized by long lifetime and remarkable topological…

We consider a federated data analytics problem in which a server coordinates the collaborative data analysi…

We generalize the theory of resolving a mixture of two closely spaced spontaneous emission lifetimes to inc…

Solving tasks such as speaker recognition, music classification, or semantic audio event tagging with deep …

The spin phenomena observed at a clean metall-insulator interface are typically reduced to Rashba-Edelstein…

Many mechanisms behind the evolution of cooperation, such as reciprocity, indirect reciprocity, and altruis…

Objective: We demonstrate the use of ultrasound to receive an acoustic signal transmitted from a radiologic…

Semantic representations in higher sensory cortices form the basis for robust, yet flexible behavior. These…

Active networks made of biopolymers and motor proteins are valuable bioinspired systems that have been used…

In this work, we tackle the scenario of understanding characters in scripts, which aims to learn the charac…

Fairness-aware machine learning has garnered significant attention in recent years because of extensive use…

Meshes are widely used in 3D computer vision and graphics, but their irregular topology poses challenges in…

Hilbert space fragmentation is an intriguing paradigm of ergodicity breaking in interacting quantum many-bo…

A generalized-homology bordism-theory is constructed, such that for certain manifold homotopy stratified se…

The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interp…