Saved in:
| Main Authors: | Greifeneder, Fabian, Fenz, Wolfgang, Alkin, Benedikt, Brandstetter, Johannes, Giretzlehner, Michael, Moser, Philipp |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.13676 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
by: Alkin, Benedikt, et al.
Published: (2024)
by: Alkin, Benedikt, et al.
Published: (2024)
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
by: Alkin, Benedikt, et al.
Published: (2024)
by: Alkin, Benedikt, et al.
Published: (2024)
AB-UPT for Automotive and Aerospace Applications
by: Alkin, Benedikt, et al.
Published: (2025)
by: Alkin, Benedikt, et al.
Published: (2025)
Vision-LSTM: xLSTM as Generic Vision Backbone
by: Alkin, Benedikt, et al.
Published: (2024)
by: Alkin, Benedikt, et al.
Published: (2024)
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
by: Alkin, Benedikt, et al.
Published: (2024)
by: Alkin, Benedikt, et al.
Published: (2024)
AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers
by: Alkin, Benedikt, et al.
Published: (2025)
by: Alkin, Benedikt, et al.
Published: (2025)
Parameter Efficient Fine-tuning via Explained Variance Adaptation
by: Paischer, Fabian, et al.
Published: (2024)
by: Paischer, Fabian, et al.
Published: (2024)
Meltdown: Circuits and Bifurcations in Point-Cloud-Conditioned 3D Diffusion Transformers
by: Plattner, Maximilian, et al.
Published: (2026)
by: Plattner, Maximilian, et al.
Published: (2026)
Towards scientific machine learning for granular material simulations -- challenges and opportunities
by: Fransen, Marc, et al.
Published: (2025)
by: Fransen, Marc, et al.
Published: (2025)
ANTIC: Adaptive Neural Temporal In-situ Compressor
by: Cranganore, Sandeep S., et al.
Published: (2026)
by: Cranganore, Sandeep S., et al.
Published: (2026)
Towards Multi-Fidelity Scaling Laws of Neural Surrogates in CFD
by: Setinek, Paul, et al.
Published: (2025)
by: Setinek, Paul, et al.
Published: (2025)
Shape Generation via Weight Space Learning
by: Plattner, Maximilian, et al.
Published: (2025)
by: Plattner, Maximilian, et al.
Published: (2025)
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
by: Schmidinger, Niklas, et al.
Published: (2024)
by: Schmidinger, Niklas, et al.
Published: (2024)
Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
by: Strnad, Felix, et al.
Published: (2025)
by: Strnad, Felix, et al.
Published: (2025)
A circulating cadaveric simulation model for neurosurgery residents
by: César Lafont, et al.
Published: (2024)
by: César Lafont, et al.
Published: (2024)
Mathematical theory of deep learning
by: Petersen, Philipp, et al.
Published: (2024)
by: Petersen, Philipp, et al.
Published: (2024)
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations
by: Hamid, Asif, et al.
Published: (2023)
by: Hamid, Asif, et al.
Published: (2023)
Learning the action for long-time-step simulations of molecular dynamics
by: Bigi, Filippo, et al.
Published: (2025)
by: Bigi, Filippo, et al.
Published: (2025)
Stabilizing Test-Time Adaptation of High-Dimensional Simulation Surrogates via D-Optimal Statistics
by: Zimmel, Anna, et al.
Published: (2026)
by: Zimmel, Anna, et al.
Published: (2026)
Diverse Topology Optimization using Modulated Neural Fields
by: Radler, Andreas, et al.
Published: (2025)
by: Radler, Andreas, et al.
Published: (2025)
Einstein Fields: A Neural Perspective To Computational General Relativity
by: Cranganore, Sandeep Suresh, et al.
Published: (2025)
by: Cranganore, Sandeep Suresh, et al.
Published: (2025)
5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence
by: Galletti, Gianluca, et al.
Published: (2025)
by: Galletti, Gianluca, et al.
Published: (2025)
GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
by: Paischer, Fabian, et al.
Published: (2025)
by: Paischer, Fabian, et al.
Published: (2025)
Towards a theory of learning dynamics in deep state space models
by: Smékal, Jakub, et al.
Published: (2024)
by: Smékal, Jakub, et al.
Published: (2024)
What comes after transformers? -- A selective survey connecting ideas in deep learning
by: Schneider, Johannes
Published: (2024)
by: Schneider, Johannes
Published: (2024)
Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes
by: Paischer, Fabian, et al.
Published: (2025)
by: Paischer, Fabian, et al.
Published: (2025)
Inpainting physics: self-supervised learning for context-driven fluid simulation
by: Weidner, Jonas, et al.
Published: (2026)
by: Weidner, Jonas, et al.
Published: (2026)
How deep a divide do we tolerate? Measuring the willingness to engage with differently minded others (WEDO)
by: Melissa Jauch, et al.
Published: (2025)
by: Melissa Jauch, et al.
Published: (2025)
Information processing via human soft tissue
by: Kobayashi, Yo
Published: (2023)
by: Kobayashi, Yo
Published: (2023)
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
by: Toshev, Artur P., et al.
Published: (2024)
by: Toshev, Artur P., et al.
Published: (2024)
The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)
by: Freinberger, Dominik, et al.
Published: (2026)
On the Asymptotic Mean Square Error Optimality of Diffusion Models
by: Fesl, Benedikt, et al.
Published: (2024)
by: Fesl, Benedikt, et al.
Published: (2024)
AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery
by: Wenckstern, Johann, et al.
Published: (2025)
by: Wenckstern, Johann, et al.
Published: (2025)
WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling
by: Aich, Michael, et al.
Published: (2026)
by: Aich, Michael, et al.
Published: (2026)
Aggregating distribution forecasts from deep ensembles
by: Schulz, Benedikt, et al.
Published: (2022)
by: Schulz, Benedikt, et al.
Published: (2022)
Deep learning-enabled virtual multiplexed immunostaining of label-free tissue for vascular invasion assessment
by: Zhang, Yijie, et al.
Published: (2025)
by: Zhang, Yijie, et al.
Published: (2025)
A non-intrusive machine learning framework for debiasing long-time coarse resolution climate simulations and quantifying rare events statistics
by: Sorensen, Benedikt Barthel, et al.
Published: (2024)
by: Sorensen, Benedikt Barthel, et al.
Published: (2024)
Exploring the gender gap in neurosurgery: A cross‐sectional analysis of preresidency publications among neurosurgery residents
by: Taimur Hassan, et al.
Published: (2024)
by: Taimur Hassan, et al.
Published: (2024)
Multiscale geometrical and topological learning in the analysis of soft matter collective dynamics
by: Orlova, Tetiana, et al.
Published: (2025)
by: Orlova, Tetiana, et al.
Published: (2025)
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
by: Schneckenreiter, Lisa, et al.
Published: (2024)
by: Schneckenreiter, Lisa, et al.
Published: (2024)
Similar Items
-
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
by: Alkin, Benedikt, et al.
Published: (2024) -
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
by: Alkin, Benedikt, et al.
Published: (2024) -
AB-UPT for Automotive and Aerospace Applications
by: Alkin, Benedikt, et al.
Published: (2025) -
Vision-LSTM: xLSTM as Generic Vision Backbone
by: Alkin, Benedikt, et al.
Published: (2024) -
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
by: Alkin, Benedikt, et al.
Published: (2024)