arXiv research

Enhancement attacks can falsely improve machine learning model performance in biomedical research.

Enhances psyquandle counting invariants using cocycles.

Generative adversarial networks (GAN) have recently been shown to be efficient for speech enhancement. However, most, if not all, existing speech enhancement GANs (SEGAN) make use of a single generator to perform one-stage enhancement mapping. In this work, we propose to use multiple generators that are chained to perf…

An enhanced trivalent tangle is a trivalent tangle with some of its edges labeled. We use enhanced trivalent tangles and classical knot theory to provide a recipe for constructing invariants for trivalent tangles, and in particular, for knotted trivalent graphs. Our method also yields invariants of, what we refer to as…

We address the problem of speech enhancement generalisation to unseen environments by performing two manipulations. First, we embed an additional recording from the environment alone, and use this embedding to alter activations in the main enhancement subnetwork. Second, we scale the number of noise environments presen…

Enhanced Teichmüller space for surfaces with decorations and enhancements.

In this paper we demonstrate spoken speech enhancement using electroencephalography (EEG) signals using a generative adversarial network (GAN) based model, gated recurrent unit (GRU) regression based model, temporal convolutional network (TCN) regression model and finally using a mixed TCN GRU regression model. We comp…

This paper proposes a deep speech enhancement method which exploits the high potential of residual connections in a wide neural network architecture, a topology known as Wide Residual Network. This is supported on single dimensional convolutions computed alongside the time domain, which is a powerful approach to proces…

We enhance the biquandle counting invariant using elements of truncated biquandle-labeled Polyak algebras. These finite type enhancements reduce to the finite type enhancements defined by Goussarov, Polyak and Viro for the trivial biquandle of one element and determine (but are not determined by) the biquandle counting…

Enhances knot invariants using bilinear forms on vector spaces.

Enhanced indexation uses equity and index options for better performance.

Quantum polynomials are derived from a specific tribracket structure.

Enhances neural networks' robustness against adversarial samples without sacrificing clean sample generalization.

We consider involutory virtual biracks with good involutions, also known as symmetric involutory virtual biracks. Any good involution on an involutory virtual birack defines an enhancement of the counting invariant. We provide examples demonstrating that the enhancement is stronger than the unenhanced counting invarian…

Efficient trainable front-end for neural speech enhancement.

Enhances knot counting invariant using skew braces.

We define enhancements of the quandle counting invariant for knots and links with a finite labeling quandle Q embedded in the quandle of units of a Lie algebra \mathfrak{a} using Lie ideals. We provide examples demonstrating that the enhancement is stronger than the associated unenhanced counting invariant.

Speech enhancement improved by adapting to unknown speakers without auxiliary signals.

Diffusion models enhance speech without supervision.

RDL-Net improves speech enhancement with fewer parameters and better performance.

Improved speech enhancement with larger neural networks using novel embeddings and biases.

Enhanced Yang-Baxter operators give rise to invariants of oriented links. We expand the enhancing method to generalized Yang-Baxter operators. At present two examples of generalized Yang-Baxter operators are known and recently three types of variations for one of these were discovered. We present the definition of enha…

Enhances labels from unlabeled data using sample correlations.

Combinatorial proof of grid homology properties.

This paper introduces a divide-and-conquer inspired adversarial learning (DACAL) approach for photo enhancement. The key idea is to decompose the photo enhancement process into hierarchically multiple sub-problems, which can be better conquered from bottom to up. On the top level, we propose a perception-based division…

Noise enhancement improves generalization in training.

Paper proposes a method to enhance low-quality retinal images using optimal transport.

Improved speech enhancement using diffusion models with MSE loss.

Enhances image quality to improve test-time adaptation accuracy.

In this paper, we consider biquandle colorings for knotoids in $\mathbb{R}^2$ or $S^2$ and we construct several coloring invariants for knotoids derived as enhancements of the biquandle counting invariant. We first enhance the biquandle counting invariant by using a matrix constructed by utilizing the orientation a kno…

This paper tackles unsupervised speech enhancement using RVAE and proposes efficient sampling methods.

Gradient-enhanced deep GPs improve multifidelity model accuracy.

Enhances projection pursuit tree classifier with visual diagnostics for better multi-class classification.

Improved electrical load forecasting model using Fourier-enhanced RNN.

We prove that the "minus" version of Lipshitz's double-point enhanced grid homology is a knot invariant through purely combinatorial means.

Enhances Hantzsche's theorem for 3-manifolds in 4D.

Standard ChIP-seq peak calling pipelines seek to differentiate biochemically reproducible signals of individual genomic elements from background noise. However, reproducibility alone does not imply functional regulation (e.g., enhancer activation, alternative splicing). Here we present a general-purpose, interpretable …

Enhanced DQN model boosts trading performance with advanced techniques.

This study proposes a trainable adaptive window switching (AWS) method and apply it to a deep-neural-network (DNN) for speech enhancement in the modified discrete cosine transform domain. Time-frequency (T-F) mask processing in the short-time Fourier transform (STFT)-domain is a typical speech enhancement method. To re…

In a previous paper, the authors defined an equivariant version of the so-called Saito duality between the monodromy zeta functions as a sort of Fourier transform between the Burnside rings of an abelian group and of its group of characters. Here a so-called enhanced Burnside ring $\widehat{B}(G)$ of a finite group $G$…

Unified framework for subgraph-enhanced GNNs, improving prediction accuracy and reducing computation time.

Study shows specific states produce Khovanov homology torsion.

In this paper, we build on the biquasiles and dual graph diagrams introduced in arXiv:1610.06969. We introduce \textit{biquasile Boltzmann weights} that enhance the previous knot coloring invariant defined in terms of finite biquasiles and provide examples differentiating links with the same counting invariant, demonst…

This paper aims to address two issues existing in the current speech enhancement methods: 1) the difficulty of phase estimations; 2) a single objective function cannot consider multiple metrics simultaneously. To solve the first problem, we propose a novel convolutional neural network (CNN) model for complex spectrogra…

2L-FUSE enhances feature sparsity through kernel learning.

Enhanced financial reward with shuffled feature CNN-DRL.

New polynomials defined for quandle structures, enhancing graph invariants.

MASnet enhances speech on mobile devices with low latency.