DiffStyleTS: Diffusion Model for Style Transfer in Time Series
Fuente:
arXiv
Saved in:
| Main Authors: | Nagda, Mayank, Ostheimer, Phil, Arweiler, Justus, Jungjohann, Indra, Werner, Jennifer, Wagner, Dennis, Muraleedharan, Aparna, Jafari, Pouya, Schmid, Jochen, Jirasek, Fabian, Burger, Jakob, Bortz, Michael, Hasse, Hans, Mandt, Stephan, Kloft, Marius, Fellenz, Sophie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Challenging Assumptions in Learning Generic Text Style Embeddings
by: Ostheimer, Phil, et al.
Published: (2025)
by: Ostheimer, Phil, et al.
Published: (2025)
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
by: Arweiler, Justus, et al.
Published: (2025)
by: Arweiler, Justus, et al.
Published: (2025)
SetPINNs: Set-based Physics-informed Neural Networks
by: Nagda, Mayank, et al.
Published: (2024)
by: Nagda, Mayank, et al.
Published: (2024)
Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection
by: Werner, Jennifer, et al.
Published: (2026)
by: Werner, Jennifer, et al.
Published: (2026)
PIANO: Physics Informed Autoregressive Network
by: Nagda, Mayank, et al.
Published: (2025)
by: Nagda, Mayank, et al.
Published: (2025)
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors
by: Nagda, Mayank, et al.
Published: (2024)
by: Nagda, Mayank, et al.
Published: (2024)
Sparse Data Diffusion for Scientific Simulations in Biology and Physics
by: Ostheimer, Phil, et al.
Published: (2025)
by: Ostheimer, Phil, et al.
Published: (2025)
HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction
by: Specht, Thomas, et al.
Published: (2024)
by: Specht, Thomas, et al.
Published: (2024)
Skipping the Zeros in Diffusion Models for Sparse Data Generation
by: Ostheimer, Phil Sidney, et al.
Published: (2026)
by: Ostheimer, Phil Sidney, et al.
Published: (2026)
Formally Exploring Time-Series Anomaly Detection Evaluation Metrics
by: Wagner, Dennis, et al.
Published: (2025)
by: Wagner, Dennis, et al.
Published: (2025)
CHAOS -- A Consistent Large-scale Database for Sigma-Profiles and Other Molecular Descriptors
by: Gond, Dominik, et al.
Published: (2025)
by: Gond, Dominik, et al.
Published: (2025)
Prediction of Activity Coefficients by Similarity-Based Imputation using Quantum-Chemical Descriptors
by: Hayer, Nicolas, et al.
Published: (2024)
by: Hayer, Nicolas, et al.
Published: (2024)
BBPOS: BERT-based Part-of-Speech Tagging for Uzbek
by: Bobojonova, Latofat, et al.
Published: (2025)
by: Bobojonova, Latofat, et al.
Published: (2025)
KnowTD-An Actionable Knowledge Representation System for Thermodynamics
by: Vollmer, Luisa, et al.
Published: (2024)
by: Vollmer, Luisa, et al.
Published: (2024)
Comgra: A Tool for Analyzing and Debugging Neural Networks
by: Dietz, Florian, et al.
Published: (2024)
by: Dietz, Florian, et al.
Published: (2024)
Thermodynamically consistent machine learning model for excess Gibbs energy
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0
by: Hayer, Nicolas, et al.
Published: (2024)
by: Hayer, Nicolas, et al.
Published: (2024)
Continual Neural Topic Model
by: James, Charu Karakkaparambil, et al.
Published: (2025)
by: James, Charu Karakkaparambil, et al.
Published: (2025)
LAPS-Diff: A Diffusion-Based Framework for Singing Voice Synthesis With Language Aware Prosody-Style Guided Learning
by: Dhar, Sandipan, et al.
Published: (2025)
by: Dhar, Sandipan, et al.
Published: (2025)
GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
Modified UNIFAC 2.0 -- A Group-Contribution Method Completed with Machine Learning
by: Hayer, Nicolas, et al.
Published: (2024)
by: Hayer, Nicolas, et al.
Published: (2024)
Using Large Language Models for Solving Thermodynamic Problems
by: Loubet, Rebecca, et al.
Published: (2025)
by: Loubet, Rebecca, et al.
Published: (2025)
FonTS: Text Rendering with Typography and Style Controls
by: Shi, Wenda, et al.
Published: (2024)
by: Shi, Wenda, et al.
Published: (2024)
Multi-level Supervised Contrastive Learning
by: Ghanooni, Naghmeh, et al.
Published: (2025)
by: Ghanooni, Naghmeh, et al.
Published: (2025)
Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise
by: Wang, Puyu, et al.
Published: (2026)
by: Wang, Puyu, et al.
Published: (2026)
Diff-MST: Differentiable Mixing Style Transfer
by: Vanka, Soumya Sai, et al.
Published: (2024)
by: Vanka, Soumya Sai, et al.
Published: (2024)
DiffStyle360: Diffusion-Based 360° Head Stylization via Style Fusion Attention
by: Guzelant, Furkan, et al.
Published: (2025)
by: Guzelant, Furkan, et al.
Published: (2025)
Superstudent intelligence in thermodynamics
by: Loubet, Rebecca, et al.
Published: (2025)
by: Loubet, Rebecca, et al.
Published: (2025)
Anomaly Detection of Tabular Data Using LLMs
by: Li, Aodong, et al.
Published: (2024)
by: Li, Aodong, et al.
Published: (2024)
DiffStyleTTS: Diffusion-based Hierarchical Prosody Modeling for Text-to-Speech with Diverse and Controllable Styles
by: Liu, Jiaxuan, et al.
Published: (2024)
by: Liu, Jiaxuan, et al.
Published: (2024)
ObjMST: An Object-Focused Multimodal Style Transfer Framework
by: Kamra, Chanda Grover, et al.
Published: (2025)
by: Kamra, Chanda Grover, et al.
Published: (2025)
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
by: Franks, Billy Joe, et al.
Published: (2024)
by: Franks, Billy Joe, et al.
Published: (2024)
Prediction of Diffusion Coefficients in Mixtures with Tensor Completion
by: Romero, Zeno, et al.
Published: (2026)
by: Romero, Zeno, et al.
Published: (2026)
Diff-MSTC: A Mixing Style Transfer Prototype for Cubase
by: Vanka, Soumya Sai, et al.
Published: (2024)
by: Vanka, Soumya Sai, et al.
Published: (2024)
StyleProtect: Safeguarding Artistic Identity in Fine-tuned Diffusion Models
by: Tang, Qiuyu, et al.
Published: (2025)
by: Tang, Qiuyu, et al.
Published: (2025)
Reimagining Anomalies: What If Anomalies Were Normal?
by: Liznerski, Philipp, et al.
Published: (2024)
by: Liznerski, Philipp, et al.
Published: (2024)
Progressive Compression with Universally Quantized Diffusion Models
by: Yang, Yibo, et al.
Published: (2024)
by: Yang, Yibo, et al.
Published: (2024)
CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
by: Tschuchnig, Maximilian E., et al.
Published: (2024)
Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors
by: Cathomen, Rafael, et al.
Published: (2025)
by: Cathomen, Rafael, et al.
Published: (2025)
Adaptive discretization algorithms for locally optimal experimental design
by: Schmid, Jochen, et al.
Published: (2024)
by: Schmid, Jochen, et al.
Published: (2024)
Similar Items
-
Challenging Assumptions in Learning Generic Text Style Embeddings
by: Ostheimer, Phil, et al.
Published: (2025) -
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
by: Arweiler, Justus, et al.
Published: (2025) -
SetPINNs: Set-based Physics-informed Neural Networks
by: Nagda, Mayank, et al.
Published: (2024) -
Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection
by: Werner, Jennifer, et al.
Published: (2026) -
PIANO: Physics Informed Autoregressive Network
by: Nagda, Mayank, et al.
Published: (2025)