Saved in:
| Main Authors: | Celikkanat, Abdulkadir, Masegosa, Andres R., Albertsen, Mads, Nielsen, Thomas D. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.26116 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
by: Celikkanat, Abdulkadir, et al.
Published: (2024)
by: Celikkanat, Abdulkadir, et al.
Published: (2024)
GenCP: Towards Generative Modeling Paradigm of Coupled Physics
by: Gao, Tianrun, et al.
Published: (2026)
by: Gao, Tianrun, et al.
Published: (2026)
Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
by: Bandy, Rileigh, et al.
Published: (2026)
by: Bandy, Rileigh, et al.
Published: (2026)
Generative Aerodynamic Design with Diffusion Probabilistic Models
by: Wagenaar, Thomas, et al.
Published: (2024)
by: Wagenaar, Thomas, et al.
Published: (2024)
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
by: Jain, Ayush, et al.
Published: (2025)
by: Jain, Ayush, et al.
Published: (2025)
ShapeGen3DCP: A Deep Learning Framework for Layer Shape Prediction in 3D Concrete Printing
by: Rizzieri, Giacomo, et al.
Published: (2025)
by: Rizzieri, Giacomo, et al.
Published: (2025)
SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation
by: Wu, Qilong, et al.
Published: (2024)
by: Wu, Qilong, et al.
Published: (2024)
Direct Learning of Calibration-Aware Uncertainty for Neural PDE Surrogates
by: Brito, Carlos Stein
Published: (2026)
by: Brito, Carlos Stein
Published: (2026)
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
by: Song, Zhenqiao, et al.
Published: (2025)
by: Song, Zhenqiao, et al.
Published: (2025)
A Methodology to Identify Physical or Computational Experiment Conditions for Uncertainty Mitigation
by: Yarbasi, Efe Y., et al.
Published: (2024)
by: Yarbasi, Efe Y., et al.
Published: (2024)
GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
by: Zheng, Jiahui, et al.
Published: (2025)
by: Zheng, Jiahui, et al.
Published: (2025)
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
by: Vaiuso, Andrea, et al.
Published: (2024)
by: Vaiuso, Andrea, et al.
Published: (2024)
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
by: Singh, Pratyush Kumar, et al.
Published: (2024)
by: Singh, Pratyush Kumar, et al.
Published: (2024)
Integrating Physics and Data-Driven Approaches: An Explainable and Uncertainty-Aware Hybrid Model for Wind Turbine Power Prediction
by: Gijón, Alfonso, et al.
Published: (2025)
by: Gijón, Alfonso, et al.
Published: (2025)
Implicit Neural Representation For Accurate CFD Flow Field Prediction
by: de Vito, Laurent, et al.
Published: (2024)
by: de Vito, Laurent, et al.
Published: (2024)
Leveraging Multi-modal Representations to Predict Protein Melting Temperatures
by: Zhang, Daiheng, et al.
Published: (2024)
by: Zhang, Daiheng, et al.
Published: (2024)
Beyond the Alphabet: Deep Signal Embedding for Enhanced DNA Clustering
by: Abraham, Hadas, et al.
Published: (2024)
by: Abraham, Hadas, et al.
Published: (2024)
Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
by: Cai, Yuecheng, et al.
Published: (2025)
by: Cai, Yuecheng, et al.
Published: (2025)
Unified Network-Based Representation of BIM Models for Embedding Semantic, Spatial, and Topological Data
by: Han, Jin, et al.
Published: (2025)
by: Han, Jin, et al.
Published: (2025)
SpecBridge: Bridging Mass Spectrometry and Molecular Representations via Cross-Modal Alignment
by: Wang, Yinkai, et al.
Published: (2026)
by: Wang, Yinkai, et al.
Published: (2026)
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks
by: Eivazi, Hamidreza, et al.
Published: (2024)
by: Eivazi, Hamidreza, et al.
Published: (2024)
Differentiable Multiphysics Co-Optimization via Implicit Neural Representations: A Transient Hamburger-Cooking Benchmark
by: Zobeiry, Navid
Published: (2026)
by: Zobeiry, Navid
Published: (2026)
TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design
by: Hu, Xiuyuan, et al.
Published: (2025)
by: Hu, Xiuyuan, et al.
Published: (2025)
Regulatory Graphs and GenAI for Real-Time Transaction Monitoring and Compliance Explanation in Banking
by: Khanvilkar, Kunal, et al.
Published: (2025)
by: Khanvilkar, Kunal, et al.
Published: (2025)
Storm Surge in Color: RGB-Encoded Physics-Aware Deep Learning for Storm Surge Forecasting
by: Zhao, Jinpai, et al.
Published: (2025)
by: Zhao, Jinpai, et al.
Published: (2025)
C-ShipGen: A Conditional Guided Diffusion Model for Parametric Ship Hull Design
by: Bagazinski, Noah J., et al.
Published: (2024)
by: Bagazinski, Noah J., et al.
Published: (2024)
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
by: Giral, Francisco, et al.
Published: (2026)
by: Giral, Francisco, et al.
Published: (2026)
FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025)
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025)
Handbook of Rough Set Extensions and Uncertainty Models
by: Fujita, Takaaki, et al.
Published: (2026)
by: Fujita, Takaaki, et al.
Published: (2026)
Uncertainty separation via ensemble quantile regression
by: Ansari, Navid, et al.
Published: (2024)
by: Ansari, Navid, et al.
Published: (2024)
EqCollide: Equivariant and Collision-Aware Deformable Objects Neural Simulator
by: Chen, Qianyi, et al.
Published: (2025)
by: Chen, Qianyi, et al.
Published: (2025)
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
by: Zeng, Liang, et al.
Published: (2021)
by: Zeng, Liang, et al.
Published: (2021)
ByteGen: A Tokenizer-Free Generative Model for Orderbook Events in Byte Space
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models
by: Yadav, Akash, et al.
Published: (2025)
by: Yadav, Akash, et al.
Published: (2025)
SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries
by: Tsui, Darin, et al.
Published: (2024)
by: Tsui, Darin, et al.
Published: (2024)
MLPROP -- an open interactive web interface for thermophysical property prediction with machine learning
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
Machine Learning based Prediction of Ditching Loads
by: Schwarz, Henning, et al.
Published: (2024)
by: Schwarz, Henning, et al.
Published: (2024)
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
by: Mücke, Nikolaj T., et al.
Published: (2024)
by: Mücke, Nikolaj T., et al.
Published: (2024)
Detecting Multilevel Manipulation from Limit Order Book via Cascaded Contrastive Representation Learning
by: Lin, Yushi, et al.
Published: (2025)
by: Lin, Yushi, et al.
Published: (2025)
Thermodynamically consistent machine learning model for excess Gibbs energy
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
Similar Items
-
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
by: Celikkanat, Abdulkadir, et al.
Published: (2024) -
GenCP: Towards Generative Modeling Paradigm of Coupled Physics
by: Gao, Tianrun, et al.
Published: (2026) -
Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions
by: Bandy, Rileigh, et al.
Published: (2026) -
Generative Aerodynamic Design with Diffusion Probabilistic Models
by: Wagenaar, Thomas, et al.
Published: (2024) -
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
by: Jain, Ayush, et al.
Published: (2025)