Saved in:
| Main Authors: | Heiland, Jan, Kim, Yongho |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.10620 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations
by: Kim, Yongho, et al.
Published: (2023)
by: Kim, Yongho, et al.
Published: (2023)
X-VMamba: Explainable Vision Mamba
by: Mabrok, Mohamed A., et al.
Published: (2025)
by: Mabrok, Mohamed A., et al.
Published: (2025)
AdjointDEIS: Efficient Gradients for Diffusion Models
by: Blasingame, Zander W., et al.
Published: (2024)
by: Blasingame, Zander W., et al.
Published: (2024)
Fractals made Practical: Denoising Diffusion as Partitioned Iterated Function Systems
by: Dooms, Ann
Published: (2026)
by: Dooms, Ann
Published: (2026)
Polytopic Autoencoders for Very Low‐Dimensional Parametrizations of Fluid Flow Models
by: Jan Heiland, et al.
Published: (2025)
by: Jan Heiland, et al.
Published: (2025)
Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design
by: Heiland, Jan, et al.
Published: (2024)
by: Heiland, Jan, et al.
Published: (2024)
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
by: Poels, Yoeri, et al.
Published: (2024)
by: Poels, Yoeri, et al.
Published: (2024)
On the Role of Strain and Vorticity in Numerical Integration Error for Flow Matching
by: Tao, Chenxi, et al.
Published: (2026)
by: Tao, Chenxi, et al.
Published: (2026)
Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation
by: A., Eshwar R., et al.
Published: (2026)
by: A., Eshwar R., et al.
Published: (2026)
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
by: Franz, Aleksandra, et al.
Published: (2023)
by: Franz, Aleksandra, et al.
Published: (2023)
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
by: Im, Jiin, et al.
Published: (2024)
by: Im, Jiin, et al.
Published: (2024)
SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
by: Park, Juhyeon, et al.
Published: (2025)
by: Park, Juhyeon, et al.
Published: (2025)
Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution
by: Cao, Qinglong, et al.
Published: (2024)
by: Cao, Qinglong, et al.
Published: (2024)
PixelFlowCast: Latent-Free Precipitation Nowcasting via Pixel Mean Flows
by: Zhu, Yufeng, et al.
Published: (2026)
by: Zhu, Yufeng, et al.
Published: (2026)
Large-scale flood modeling and forecasting with FloodCast
by: Xu, Qingsong, et al.
Published: (2024)
by: Xu, Qingsong, et al.
Published: (2024)
Cyclic image generation using chaotic dynamics
by: Tanaka, Takaya, et al.
Published: (2024)
by: Tanaka, Takaya, et al.
Published: (2024)
CNN-powered micro- to macro-scale flow modeling in deformable porous media
by: Heider, Yousef, et al.
Published: (2025)
by: Heider, Yousef, et al.
Published: (2025)
Dimensionally Reduced Open-World Clustering: DROWCULA
by: Ozbey, Erencem, et al.
Published: (2025)
by: Ozbey, Erencem, et al.
Published: (2025)
Partial differential equation system for binarization of degraded document images
by: Liu, Youjin, et al.
Published: (2025)
by: Liu, Youjin, et al.
Published: (2025)
Sparse Autoencoders are Topic Models
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
Identifying Locally Turbulent Vortices within Instabilities
by: Vivodtzev, Fabien, et al.
Published: (2024)
by: Vivodtzev, Fabien, et al.
Published: (2024)
A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation
by: Chen, Yu, et al.
Published: (2024)
by: Chen, Yu, et al.
Published: (2024)
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
by: Takamoto, Makoto, et al.
Published: (2022)
by: Takamoto, Makoto, et al.
Published: (2022)
MeanFlow Transformers with Representation Autoencoders
by: Hu, Zheyuan, et al.
Published: (2025)
by: Hu, Zheyuan, et al.
Published: (2025)
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
by: Hong, Susung
Published: (2024)
by: Hong, Susung
Published: (2024)
Localized Randomized Smoothing for Collective Robustness Certification
by: Schuchardt, Jan, et al.
Published: (2022)
by: Schuchardt, Jan, et al.
Published: (2022)
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillation
by: Doshi, Divyang, et al.
Published: (2024)
by: Doshi, Divyang, et al.
Published: (2024)
Probabilistic Risk Assessment of an Obstacle Detection System for GoA 4 Freight Trains
by: Gleirscher, Mario, et al.
Published: (2023)
by: Gleirscher, Mario, et al.
Published: (2023)
Consistent Amortized Clustering via Generative Flow Networks
by: Chelly, Irit, et al.
Published: (2025)
by: Chelly, Irit, et al.
Published: (2025)
Hierarchical Randomized Smoothing
by: Scholten, Yan, et al.
Published: (2023)
by: Scholten, Yan, et al.
Published: (2023)
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
by: Suk, Julian, et al.
Published: (2022)
by: Suk, Julian, et al.
Published: (2022)
Probing the Representational Power of Sparse Autoencoders in Vision Models
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
Simple ReFlow: Improved Techniques for Fast Flow Models
by: Kim, Beomsu, et al.
Published: (2024)
by: Kim, Beomsu, et al.
Published: (2024)
Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering
by: Li, Feijiang, et al.
Published: (2026)
by: Li, Feijiang, et al.
Published: (2026)
Multivariate Variational Autoencoder
by: Yavuz, Mehmet Can
Published: (2025)
by: Yavuz, Mehmet Can
Published: (2025)
Vision-Based System Identification of a Quadrotor
by: Iz, Selim Ahmet, et al.
Published: (2025)
by: Iz, Selim Ahmet, et al.
Published: (2025)
Aerial Image Stitching Using IMU Data from a UAV
by: Iz, Selim Ahmet, et al.
Published: (2025)
by: Iz, Selim Ahmet, et al.
Published: (2025)
Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
by: Xie, Tianyu, et al.
Published: (2025)
by: Xie, Tianyu, et al.
Published: (2025)
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
by: Thasarathan, Harrish, et al.
Published: (2025)
by: Thasarathan, Harrish, et al.
Published: (2025)
Similar Items
-
Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations
by: Kim, Yongho, et al.
Published: (2023) -
X-VMamba: Explainable Vision Mamba
by: Mabrok, Mohamed A., et al.
Published: (2025) -
AdjointDEIS: Efficient Gradients for Diffusion Models
by: Blasingame, Zander W., et al.
Published: (2024) -
Fractals made Practical: Denoising Diffusion as Partitioned Iterated Function Systems
by: Dooms, Ann
Published: (2026) -
Polytopic Autoencoders for Very Low‐Dimensional Parametrizations of Fluid Flow Models
by: Jan Heiland, et al.
Published: (2025)