Learning from Uncertain Data: From Possible Worlds to Possible Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Jiongli, Feng, Su, Glavic, Boris, Salimi, Babak |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Clustering using Hyperdimensional Computing
by: Ge, Lulu, et al.
Published: (2023)
by: Ge, Lulu, et al.
Published: (2023)
APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Stress-Testing ML Pipelines with Adversarial Data Corruption
by: Zhu, Jiongli, et al.
Published: (2025)
by: Zhu, Jiongli, et al.
Published: (2025)
NoSQL Graph Databases: an overview
by: Santos, Veronica, et al.
Published: (2024)
by: Santos, Veronica, et al.
Published: (2024)
Breaking the Data Barrier in Learning Symbolic Computation: A Case Study on Variable Ordering Suggestion for Cylindrical Algebraic Decomposition
by: Jing, Rui-Juan, et al.
Published: (2026)
by: Jing, Rui-Juan, et al.
Published: (2026)
Symbolic Equation Solving via Reinforcement Learning
by: Dabelow, Lennart, et al.
Published: (2024)
by: Dabelow, Lennart, et al.
Published: (2024)
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
by: Delfosse, Quentin, et al.
Published: (2024)
by: Delfosse, Quentin, et al.
Published: (2024)
Tree-Based Deep Learning for Ranking Symbolic Integration Algorithms
by: Barket, Rashid, et al.
Published: (2025)
by: Barket, Rashid, et al.
Published: (2025)
Ontolearn-A Framework for Large-scale OWL Class Expression Learning in Python
by: Demir, Caglar, et al.
Published: (2025)
by: Demir, Caglar, et al.
Published: (2025)
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems
by: Iyer, Adarsh, et al.
Published: (2024)
by: Iyer, Adarsh, et al.
Published: (2024)
Taylor-Model Physics-Informed Neural Networks (PINNs) for Ordinary Differential Equations
by: Nagesh, Chandra Kanth, et al.
Published: (2025)
by: Nagesh, Chandra Kanth, et al.
Published: (2025)
Debugging code world models
by: Rahmani, Babak
Published: (2026)
by: Rahmani, Babak
Published: (2026)
Shape Constraints in Symbolic Regression using Penalized Least Squares
by: Martinek, Viktor, et al.
Published: (2024)
by: Martinek, Viktor, et al.
Published: (2024)
The Liouville Generator for Producing Integrable Expressions
by: Barket, Rashid, et al.
Published: (2024)
by: Barket, Rashid, et al.
Published: (2024)
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
by: Jiang, Nan, et al.
Published: (2024)
by: Jiang, Nan, et al.
Published: (2024)
Deep Neural Network for Constraint Acquisition through Tailored Loss Function
by: Vyhmeister, Eduardo, et al.
Published: (2024)
by: Vyhmeister, Eduardo, et al.
Published: (2024)
Transformers to Predict the Applicability of Symbolic Integration Routines
by: Barket, Rashid, et al.
Published: (2024)
by: Barket, Rashid, et al.
Published: (2024)
Unit-Aware Genetic Programming for the Development of Empirical Equations
by: Reuter, Julia, et al.
Published: (2024)
by: Reuter, Julia, et al.
Published: (2024)
Neural Symbolic Regression of Complex Network Dynamics
by: Qiu, Haiquan, et al.
Published: (2024)
by: Qiu, Haiquan, et al.
Published: (2024)
Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
by: Kera, Hiroshi, et al.
Published: (2025)
by: Kera, Hiroshi, et al.
Published: (2025)
A Fast Interpretable Fuzzy Tree Learner
by: Fumanal-Idocin, Javier, et al.
Published: (2025)
by: Fumanal-Idocin, Javier, et al.
Published: (2025)
Post-Training Neural Network Pruning using Graph Curvature
by: Tan, Shuhang, et al.
Published: (2026)
by: Tan, Shuhang, et al.
Published: (2026)
Primality Testing via Circulant Matrix Eigenvalue Structure: A Novel Approach Using Cyclotomic Field Theory
by: Dinu, Marius-Constantin
Published: (2025)
by: Dinu, Marius-Constantin
Published: (2025)
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors
by: Huang, Sikai, et al.
Published: (2025)
by: Huang, Sikai, et al.
Published: (2025)
Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications
by: Panczyk, Nataly R., et al.
Published: (2025)
by: Panczyk, Nataly R., et al.
Published: (2025)
GENSR: Symbolic Regression Based in Equation Generative Space
by: Li, Qian, et al.
Published: (2026)
by: Li, Qian, et al.
Published: (2026)
LMFD: Latent Monotonic Feature Discovery
by: Toussaint, Guus, et al.
Published: (2025)
by: Toussaint, Guus, et al.
Published: (2025)
Computing Linear Regions in Neural Networks with Skip Connections
by: Joyce, Johnny, et al.
Published: (2025)
by: Joyce, Johnny, et al.
Published: (2025)
Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules
by: Fumanal-Idocin, Javier, et al.
Published: (2026)
by: Fumanal-Idocin, Javier, et al.
Published: (2026)
Predictive Modeling of Flexible EHD Pumps using Kolmogorov-Arnold Networks
by: Peng, Yanhong, et al.
Published: (2024)
by: Peng, Yanhong, et al.
Published: (2024)
From Words to Worlds: Compositionality for Cognitive Architectures
by: Dhar, Ruchira, et al.
Published: (2024)
by: Dhar, Ruchira, et al.
Published: (2024)
Library Learning Doesn't: The Curious Case of the Single-Use "Library"
by: Berlot-Attwell, Ian, et al.
Published: (2024)
by: Berlot-Attwell, Ian, et al.
Published: (2024)
Poodle: Seamlessly Scaling Down Large Language Models with Just-in-Time Model Replacement
by: Strassenburg, Nils, et al.
Published: (2025)
by: Strassenburg, Nils, et al.
Published: (2025)
Reinforcement Learning for Power-Flow Network Analysis
by: Ergur, Alperen, et al.
Published: (2026)
by: Ergur, Alperen, et al.
Published: (2026)
Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework
by: Hu, Chengpeng, et al.
Published: (2026)
by: Hu, Chengpeng, et al.
Published: (2026)
Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis
by: Deng, Ou, et al.
Published: (2024)
by: Deng, Ou, et al.
Published: (2024)
Towards Learning Abductive Reasoning using VSA Distributed Representations
by: Camposampiero, Giacomo, et al.
Published: (2024)
by: Camposampiero, Giacomo, et al.
Published: (2024)
Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control
by: Kresse, Fabian, et al.
Published: (2025)
by: Kresse, Fabian, et al.
Published: (2025)
The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning
by: Sheneman, Lucas
Published: (2026)
by: Sheneman, Lucas
Published: (2026)
Symbolic Integration Algorithm Selection with Machine Learning: LSTMs vs Tree LSTMs
by: Barket, Rashid, et al.
Published: (2024)
by: Barket, Rashid, et al.
Published: (2024)
Similar Items
-
Robust Clustering using Hyperdimensional Computing
by: Ge, Lulu, et al.
Published: (2023) -
APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
by: Li, Zihao, et al.
Published: (2024) -
Stress-Testing ML Pipelines with Adversarial Data Corruption
by: Zhu, Jiongli, et al.
Published: (2025) -
NoSQL Graph Databases: an overview
by: Santos, Veronica, et al.
Published: (2024) -
Breaking the Data Barrier in Learning Symbolic Computation: A Case Study on Variable Ordering Suggestion for Cylindrical Algebraic Decomposition
by: Jing, Rui-Juan, et al.
Published: (2026)