CoSMo: a Framework to Instantiate Conditioned Process Simulation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Oyamada, Rafael S., Tavares, Gabriel M., Junior, Sylvio Barbon, Ceravolo, Paolo |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tailoring Machine Learning for Process Mining
by: Ceravolo, Paolo, et al.
Published: (2023)
by: Ceravolo, Paolo, et al.
Published: (2023)
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles
by: Arrighi, Leonardo, et al.
Published: (2024)
by: Arrighi, Leonardo, et al.
Published: (2024)
Problem-oriented AutoML in Clustering
by: da Silva, Matheus Camilo, et al.
Published: (2024)
by: da Silva, Matheus Camilo, et al.
Published: (2024)
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
by: Ceschin, Matteo, et al.
Published: (2025)
by: Ceschin, Matteo, et al.
Published: (2025)
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
by: Derakhshan, Mohammad, et al.
Published: (2025)
by: Derakhshan, Mohammad, et al.
Published: (2025)
FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
by: Le, Khiem, et al.
Published: (2025)
by: Le, Khiem, et al.
Published: (2025)
Are Large Language Models the New Interface for Data Pipelines?
by: Junior, Sylvio Barbon, et al.
Published: (2024)
by: Junior, Sylvio Barbon, et al.
Published: (2024)
Artificial Conversations, Real Results: Fostering Language Detection with Synthetic Data
by: Mohammadi, Fatemeh, et al.
Published: (2025)
by: Mohammadi, Fatemeh, et al.
Published: (2025)
Best-of-$\infty$ -- Asymptotic Performance of Test-Time LLM Ensembling
by: Komiyama, Junpei, et al.
Published: (2025)
by: Komiyama, Junpei, et al.
Published: (2025)
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
by: Li, Pingzhi, et al.
Published: (2023)
by: Li, Pingzhi, et al.
Published: (2023)
A Mathematical Framework for Temporal Modeling and Counterfactual Policy Simulation of Student Dropout
by: da Silva, Rafael, et al.
Published: (2026)
by: da Silva, Rafael, et al.
Published: (2026)
Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks
by: McKee, Kevin, et al.
Published: (2026)
by: McKee, Kevin, et al.
Published: (2026)
Jellyfish: A Large Language Model for Data Preprocessing
by: Zhang, Haochen, et al.
Published: (2023)
by: Zhang, Haochen, et al.
Published: (2023)
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
by: Teo, Rachel S. Y., et al.
Published: (2024)
by: Teo, Rachel S. Y., et al.
Published: (2024)
Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
by: Ribeiro, Jose Vinicius, et al.
Published: (2026)
by: Ribeiro, Jose Vinicius, et al.
Published: (2026)
Discrete Modeling via Boundary Conditional Diffusion Processes
by: Gu, Yuxuan, et al.
Published: (2024)
by: Gu, Yuxuan, et al.
Published: (2024)
Solving Hard Mizar Problems with Instantiation and Strategy Invention
by: Jakubův, Jan, et al.
Published: (2024)
by: Jakubův, Jan, et al.
Published: (2024)
ConDiSim: Conditional Diffusion Models for Simulation Based Inference
by: Nautiyal, Mayank, et al.
Published: (2025)
by: Nautiyal, Mayank, et al.
Published: (2025)
Autoencoding Conditional Neural Processes for Representation Learning
by: Prokhorov, Victor, et al.
Published: (2023)
by: Prokhorov, Victor, et al.
Published: (2023)
Deep Conditional Measure Quantization
by: Turinici, Gabriel
Published: (2023)
by: Turinici, Gabriel
Published: (2023)
Process Reward Models for LLM Agents: Practical Framework and Directions
by: Choudhury, Sanjiban
Published: (2025)
by: Choudhury, Sanjiban
Published: (2025)
Close to Reality: Interpretable and Feasible Data Augmentation for Imbalanced Learning
by: da Silva, Matheus Camilo, et al.
Published: (2026)
by: da Silva, Matheus Camilo, et al.
Published: (2026)
Distributional Process Reward Models: Calibrated Prediction of Future Rewards via Conditional Optimal Transport
by: Ma, Rachel, et al.
Published: (2026)
by: Ma, Rachel, et al.
Published: (2026)
HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
by: Ceravolo, Paolo, et al.
Published: (2025)
by: Ceravolo, Paolo, et al.
Published: (2025)
Seismic Acoustic Impedance Inversion Framework Based on Conditional Latent Generative Diffusion Model
by: Chen, Jie, et al.
Published: (2025)
by: Chen, Jie, et al.
Published: (2025)
CoPHo: Classifier-guided Conditional Topology Generation with Persistent Homology
by: Xi, Gongli, et al.
Published: (2025)
by: Xi, Gongli, et al.
Published: (2025)
Comprehensive Attribute Encoding and Dynamic LSTM HyperModels for Outcome Oriented Predictive Business Process Monitoring
by: Wang, Fang, et al.
Published: (2025)
by: Wang, Fang, et al.
Published: (2025)
Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation
by: Pang, Chaoran, et al.
Published: (2025)
by: Pang, Chaoran, et al.
Published: (2025)
A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models
by: Sharma, Vansh, et al.
Published: (2023)
by: Sharma, Vansh, et al.
Published: (2023)
Situation Model of the Transport, Transport Emissions and Meteorological Conditions
by: Benes, V., et al.
Published: (2025)
by: Benes, V., et al.
Published: (2025)
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
by: Manten, Georg, et al.
Published: (2024)
by: Manten, Georg, et al.
Published: (2024)
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data
by: Graziosi, Riccardo, et al.
Published: (2024)
by: Graziosi, Riccardo, et al.
Published: (2024)
Neural Networks with LSTM and GRU in Modeling Active Fires in the Amazon
by: Tavares, Ramon, et al.
Published: (2024)
by: Tavares, Ramon, et al.
Published: (2024)
Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing
by: Saggese, Giacinto Paolo, et al.
Published: (2025)
by: Saggese, Giacinto Paolo, et al.
Published: (2025)
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
by: Yin, Nan, et al.
Published: (2023)
by: Yin, Nan, et al.
Published: (2023)
CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging
by: Arévalo, Irina, et al.
Published: (2026)
by: Arévalo, Irina, et al.
Published: (2026)
Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach
by: Maghool, Samira, et al.
Published: (2024)
by: Maghool, Samira, et al.
Published: (2024)
CoRe-Gen: Robust Spectrum-to-Structure Generation under Imperfect Fingerprint Conditions
by: Liu, Tianbo, et al.
Published: (2026)
by: Liu, Tianbo, et al.
Published: (2026)
TF-CoDiT: Conditional Time Series Synthesis with Diffusion Transformers for Treasury Futures
by: Zhang, Yingxiao, et al.
Published: (2026)
by: Zhang, Yingxiao, et al.
Published: (2026)
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT
by: Chang, Da, et al.
Published: (2025)
by: Chang, Da, et al.
Published: (2025)
Similar Items
-
Tailoring Machine Learning for Process Mining
by: Ceravolo, Paolo, et al.
Published: (2023) -
Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles
by: Arrighi, Leonardo, et al.
Published: (2024) -
Problem-oriented AutoML in Clustering
by: da Silva, Matheus Camilo, et al.
Published: (2024) -
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
by: Ceschin, Matteo, et al.
Published: (2025) -
Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes
by: Derakhshan, Mohammad, et al.
Published: (2025)