:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bembenek, Aaron, Murray, Toby
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2402.03663
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
by: Wu, Min, et al.
Published: (2024)

Operator Feature Neural Network for Symbolic Regression
by: Deng, Yusong, et al.
Published: (2024)

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
by: Daniele, Alessandro, et al.
Published: (2022)

Distilling Symbolic Priors for Concept Learning into Neural Networks
by: Marinescu, Ioana, et al.
Published: (2024)

Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
by: Montazerin, Mansooreh, et al.
Published: (2025)

Closed-Form Interpretation of Neural Network Classifiers with Symbolic Gradients
by: Wetzel, Sebastian Johann
Published: (2024)

Emergent Symbol-like Number Variables in Artificial Neural Networks
by: Grant, Satchel, et al.
Published: (2025)

Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
by: Wetzel, Sebastian J., et al.
Published: (2024)

Neural-Symbolic Message Passing with Dynamic Pruning
by: Zhang, Chongzhi, et al.
Published: (2025)

Deriving Equivalent Symbol-Based Decision Models from Feedforward Neural Networks
by: Seidel, Sebastian, et al.
Published: (2025)

Vertical Symbolic Regression via Deep Policy Gradient
by: Jiang, Nan, et al.
Published: (2024)

Neuro-Symbolic Decoding of Neural Activity
by: Wang, Yanchen, et al.
Published: (2026)

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
by: Li, Wenqiang, et al.
Published: (2023)

Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
by: Marconato, Emanuele, et al.
Published: (2025)

Interpretable Neural-Symbolic Concept Reasoning
by: Barbiero, Pietro, et al.
Published: (2023)

Symbolic Foundation Regressor on Complex Networks
by: Liu, Weiting, et al.
Published: (2025)

Current Practices for Building LLM-Powered Reasoning Tools Are Ad Hoc -- and We Can Do Better
by: Bembenek, Aaron
Published: (2025)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
by: Keller, Leon, et al.
Published: (2025)

RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing
by: Mejri, Mohamed, et al.
Published: (2024)

Does a Neural Network Really Encode Symbolic Concepts?
by: Li, Mingjie, et al.
Published: (2023)

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
by: Singireddy, Suraj, et al.
Published: (2023)

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
by: Shindo, Hikaru, et al.
Published: (2024)

Neuro-Symbolic Rule Lists
by: Xu, Sascha, et al.
Published: (2024)

In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
by: Sovrano, Francesco, et al.
Published: (2026)

Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
by: Saegert, Paul, et al.
Published: (2026)

2D-RC: Two-Dimensional Neural Network Approach for OTFS Symbol Detection
by: Xu, Jiarui, et al.
Published: (2023)

DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning
by: Liu, Jingyi, et al.
Published: (2024)

Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients
by: Bastiani, Zachary, et al.
Published: (2024)

Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression
by: Hu, Jiao, et al.
Published: (2024)

A Mathematical Framework and a Suite of Learning Techniques for Neural-Symbolic Systems
by: Dickens, Charles, et al.
Published: (2024)

ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization
by: Scholl, Philipp, et al.
Published: (2023)

Symbolic State Partitioning for Reinforcement Learning
by: Ghaffari, Mohsen, et al.
Published: (2024)

Symbol-Equivariant Recurrent Reasoning Models
by: Freinschlag, Richard, et al.
Published: (2026)

Reinforcement Learning with Symbolic Reward Machines
by: Krug, Thomas, et al.
Published: (2026)

EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
by: Jiang, Nan, et al.
Published: (2025)

Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)

Softened Symbol Grounding for Neuro-symbolic Systems
by: Li, Zenan, et al.
Published: (2024)

Symbolic Autoencoding for Self-Supervised Sequence Learning
by: Amani, Mohammad Hossein, et al.
Published: (2024)

A Learnability Analysis on Neuro-Symbolic Learning
by: He, Hao-Yuan, et al.
Published: (2025)

Analyzing Generalization in Pre-Trained Symbolic Regression
by: Voigt, Henrik, et al.
Published: (2025)