:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tavares, Tiago F., Ayres, Fabio, Smaragdis, Paris
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2411.08687
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Class Separability Pitfalls In Audio-Text Contrastive Zero-Shot Learning
by: Tavares, Tiago, et al.
Published: (2024)

Combolutional Neural Networks
by: Churchwell, Cameron, et al.
Published: (2025)

Multi-label Cross-lingual automatic music genre classification from lyrics with Sentence BERT
by: Tavares, Tiago Fernandes, et al.
Published: (2025)

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders
by: Bralios, Dimitrios, et al.
Published: (2025)

Continuous-Time Signal Decomposition: An Implicit Neural Generalization of PCA and ICA
by: Azmoodeh, Shayan K., et al.
Published: (2025)

Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations
by: Subramani, Krishna, et al.
Published: (2024)

Learning to Upsample and Upmix Audio in the Latent Domain
by: Bralios, Dimitrios, et al.
Published: (2025)

Sound Source Separation Using Latent Variational Block-Wise Disentanglement
by: Helwani, Karim, et al.
Published: (2024)

Adaptive Slimming for Scalable and Efficient Speech Enhancement
by: Miccini, Riccardo, et al.
Published: (2025)

Audio Editing with Non-Rigid Text Prompts
by: Paissan, Francesco, et al.
Published: (2023)

Rates of Convergence of Generalised Variational Inference Posteriors under Prior Misspecification
by: Mildner, Terje, et al.
Published: (2025)

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
by: Wang, Sifan, et al.
Published: (2025)

PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations
by: Huang, Xinquan, et al.
Published: (2025)

Spectra-Guided Neural Tucker Factorization
by: Wang, Fusheng, et al.
Published: (2026)

Convergence and Divergence of Language Models under Different Random Seeds
by: Fehlauer, Finlay, et al.
Published: (2025)

Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment
by: Sfountouris, Loukas, et al.
Published: (2025)

Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
by: Fang, Zhiwei, et al.
Published: (2023)

PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing
by: Kohli, Bhavya, et al.
Published: (2026)

Provably Convergent Primal-Dual DPO for Constrained LLM Alignment
by: Du, Yihan, et al.
Published: (2025)

Diagnosing Spectral Ceilings in Equivariant Neural Force Fields
by: Kim, Hyunmog
Published: (2026)

From SGD to Spectra: A Theory of Neural Network Weight Dynamics
by: Olsen, Brian Richard, et al.
Published: (2025)

Physics-Informed Neural Networks and Extensions
by: Raissi, Maziar, et al.
Published: (2024)

Convergence for Discrete Parameter Update Schemes
by: Wilson, Paul, et al.
Published: (2025)

Optimal Convergence Rates for Neural Operators
by: Nguyen, Mike, et al.
Published: (2024)

Label-NTK Alignments and A Tighter Convergence Bound in the NTK Regime
by: Marreddy, Ruchirinkil, et al.
Published: (2026)

Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
by: Haas, Nathanaël, et al.
Published: (2026)

Neural Networks with LSTM and GRU in Modeling Active Fires in the Amazon
by: Tavares, Ramon, et al.
Published: (2024)

User-guided Generative Source Separation
by: Wen, Yutong, et al.
Published: (2025)

Operationalising the Superficial Alignment Hypothesis via Task Complexity
by: Vergara-Browne, Tomás, et al.
Published: (2026)

Deep Neural Network for Phonon-Assisted Optical Spectra in Semiconductors
by: Gu, Qiangqiang, et al.
Published: (2025)

CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
by: Hou, Xianglong, et al.
Published: (2025)

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers
by: Sankaran, Shyam, et al.
Published: (2026)

On The Global Convergence Of Online RLHF With Neural Parametrization
by: Gaur, Mudit, et al.
Published: (2024)

Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra
by: Worschech, Roman, et al.
Published: (2024)

AI-Powered Energy Algorithmic Trading: Integrating Hidden Markov Models with Neural Networks
by: Monteiro, Tiago
Published: (2024)

Topological Signatures of Adversaries in Multimodal Alignments
by: Vu, Minh, et al.
Published: (2025)

Optimal Convergence Rates of Deep Neural Network Classifiers
by: Zhang, Zihan, et al.
Published: (2025)

Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions
by: Liao, Xinyu, et al.
Published: (2024)

Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning
by: Dantas, Cassio F., et al.
Published: (2024)

PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease
by: Liu, Chenyu, et al.
Published: (2025)