Mandic, Danilo
- AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
2023/01/29 by Haohe Liu, Zehua Chen, Liu, Haohe +13 · 139 citations
Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Multimedia (cs.MM) #Music and Audio Processing #Signal Processing (eess.SP) #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
- BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
2022/05/30 by Yichong Leng, Zehua Chen, Leng, Yichong +21 · 10 citations
Computer Science · Neuroscience · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Hearing Loss and Rehabilitation #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
- Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
2023/01/22 by Maolin Wang, Pan Yu, Wang, Maolin +9 · 9 citations
Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Parallel Computing and Optimization Techniques
- FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications
2024/03/18 by Thanos Konstantinidis, Konstantinidis, Thanos, Giorgos Iacovides +7 · 11 citations
Decision Sciences · Economics, Econometrics and Finance · #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Economics and business #Financial Markets and Investment Strategies #Machine Learning (cs.LG) #Statistical Finance (q-fin.ST) #Stock Market Forecasting Methods #Trading and Market Microstructure (q-fin.TR)
- Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
2018/09/07 by Longhao Yuan, Chao Li, Yuan, Longhao +7 · 4 citations
Engineering · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
- Graph Signal Processing -- Part I: Graphs, Graph Spectra, and Spectral Clustering
2019/07/08 by Ljubiša Stanković, Danilo P. Mandic, Stankovic, Ljubisa +9 · 4 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Graph Theory and Algorithms #Information Theory (cs.IT) #Signal Processing (eess.SP) #Topological and Geometric Data Analysis #electronic engineering #information engineering
- Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
2022/07/18 by Chuang Liu, Xueqi Ma, Liu, Chuang +13 · 5 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
- Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
2023/05/30 by Andrea Cini, Danilo P. Mandic, Cini, Andrea +3 · 4 citations
Computer Science · #Time Series Analysis and Forecasting #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference
- ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
2022/12/30 by Zehua Chen, Chen, Zehua, Yihan Wu +21 · 3 citations
Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Signal Processing (eess.SP) #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
- InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training
2022/02/08 by Zehua Chen, Chen, Zehua, Xu Tan +11 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
- Graph Signal Processing -- Part II: Processing and Analyzing Signals on Graphs
2019/09/23 by Stankovic, Ljubisa, Mandic, Danilo, Dakovic, Milos +3 · 1 citation
#FOS: Computer and information sciences #Information Theory (cs.IT)
- Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial
2021/08/26 by Ljubiša Stanković, Danilo P. Mandic, Stankovic, Ljubisa +1 · 1 citation
Computer Science · Physics and Astronomy · #Neural Networks and Applications #Image and Signal Denoising Methods #Model Reduction and Neural Networks
- Generalizing Impermanent Loss on Decentralized Exchanges with Constant Function Market Makers
2023/01/17 by Tangri, Rohan, Yatsyshin, Peter, Duijnstee, Elisabeth A. +1 · 1 citation
#FOS: Economics and business #Trading and Market Microstructure (q-fin.TR)
- Relational Conformal Prediction for Correlated Time Series
2025/02/13 by Andrea Cini, Alexander Jenkins, Cini, Andrea +7 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs
2025/07/24 by Iacovides, Giorgos, Zhou, Wuyang, Mandic, Danilo · 3 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Statistical Finance (q-fin.ST) #Trading and Market Microstructure (q-fin.TR)
- Improving Diffusion Models for ECG Imputation with an Augmented Template Prior
2023/10/24 by Jenkins, Alexander, Chen, Zehua, Ng, Fu Siong +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Physics-Informed Neural Networks can accurately model cardiac electrophysiology in 3D geometries and fibrillatory conditions
2024/09/18 by Chiu, Ching-En, Roy, Aditi, Cechnicka, Sarah +6 · 1 citation
#FOS: Biological sciences #Quantitative Methods (q-bio.QM)
- Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
2024/11/03 by Alexander Jenkins, Jenkins, Alexander, Thiernithi Variddhisaï +7 · 1 citation
Computer Science · Medicine · #Advanced Graph Neural Networks #Data Stream Mining Techniques #ECG Monitoring and Analysis #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Tensor Star Tensor Decomposition and Its Applications to Higher-order Compression and Completion
2024/03/15 by Wuyang Zhou, Yu‐Bang Zheng, Zhou, Wuyang +5 · 1 citation
Computer Science · #Computational Physics and Python Applications #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Signal Processing (eess.SP) #electronic engineering #information engineering