Saved in:
| Main Authors: | Guan, Yifeng, Liu, Chuyi, Zhou, Dongzhan, Bai, Lei, Yin, Wan-jian, Li, Jingyuan, Su, Mao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.22967 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Coarse-Grained Dynamics with Spatial Disorder and Non-Markovian Memory
by: Liu, Chuyi, et al.
Published: (2026)
by: Liu, Chuyi, et al.
Published: (2026)
Engineering-Oriented Symbolic Regression: LLMs as Physics Agents for Discovery of Simulation-Ready Constitutive Laws
by: Wu, Yue, et al.
Published: (2026)
by: Wu, Yue, et al.
Published: (2026)
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
by: Xian, Yeming, et al.
Published: (2025)
by: Xian, Yeming, et al.
Published: (2025)
Interpretable Scientific Discovery with Symbolic Regression: A Review
by: Makke, Nour, et al.
Published: (2022)
by: Makke, Nour, et al.
Published: (2022)
Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis
by: Nair, Akhil S., et al.
Published: (2024)
by: Nair, Akhil S., et al.
Published: (2024)
Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery
by: Servia, Miguel Ángel de Carvalho, et al.
Published: (2025)
by: Servia, Miguel Ángel de Carvalho, et al.
Published: (2025)
Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
by: Xiao, Jing, et al.
Published: (2026)
by: Xiao, Jing, et al.
Published: (2026)
Physically Interpretable Interatomic Potentials via Symbolic Regression and Reinforcement Learning
by: Varughese, Bilvin, et al.
Published: (2025)
by: Varughese, Bilvin, et al.
Published: (2025)
An Agentic Framework for Autonomous Materials Computation
by: Xia, Zeyu, et al.
Published: (2025)
by: Xia, Zeyu, et al.
Published: (2025)
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
by: Merler, Matteo, et al.
Published: (2024)
by: Merler, Matteo, et al.
Published: (2024)
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond
by: Muthyala, Madhav R., et al.
Published: (2025)
by: Muthyala, Madhav R., et al.
Published: (2025)
Towards Scaling Laws for Symbolic Regression
by: Otte, David, et al.
Published: (2025)
by: Otte, David, et al.
Published: (2025)
ChemMLLM: Chemical Multimodal Large Language Model
by: Tan, Qian, et al.
Published: (2025)
by: Tan, Qian, et al.
Published: (2025)
Interpretable Robotic Friction Learning via Symbolic Regression
by: Scholl, Philipp, et al.
Published: (2025)
by: Scholl, Philipp, et al.
Published: (2025)
Iterative Pretraining Framework for Interatomic Potentials
by: Cui, Taoyong, et al.
Published: (2025)
by: Cui, Taoyong, et al.
Published: (2025)
METASYMBO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution
by: Chen, Jianpeng, et al.
Published: (2026)
by: Chen, Jianpeng, et al.
Published: (2026)
Data-Efficient Symbolic Regression via Foundation Model Distillation
by: Ying, Wangyang, et al.
Published: (2025)
by: Ying, Wangyang, et al.
Published: (2025)
Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback
by: Saveliev, Evgeny S., et al.
Published: (2026)
by: Saveliev, Evgeny S., et al.
Published: (2026)
DARWIN 1.5: Large Language Models as Materials Science Adapted Learners
by: Xie, Tong, et al.
Published: (2024)
by: Xie, Tong, et al.
Published: (2024)
A Transformer Model for Symbolic Regression towards Scientific Discovery
by: Lalande, Florian, et al.
Published: (2023)
by: Lalande, Florian, et al.
Published: (2023)
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression
by: Makke, Nour, et al.
Published: (2025)
by: Makke, Nour, et al.
Published: (2025)
$Δ$-AttnMask: Attention-Guided Masked Hidden States for Efficient Data Selection and Augmentation
by: Hu, Jucheng, et al.
Published: (2025)
by: Hu, Jucheng, et al.
Published: (2025)
Deliberate Planning in Language Models with Symbolic Representation
by: Xiong, Siheng, et al.
Published: (2025)
by: Xiong, Siheng, et al.
Published: (2025)
Single-Agent Scaling Fails Multi-Agent Intelligence: Towards Foundation Models with Native Multi-Agent Intelligence
by: Hu, Shuyue, et al.
Published: (2025)
by: Hu, Shuyue, et al.
Published: (2025)
Learning Interpretable Network Dynamics via Universal Neural Symbolic Regression
by: Hu, Jiao, et al.
Published: (2024)
by: Hu, Jiao, et al.
Published: (2024)
An SO(3)-equivariant reciprocal-space neural potential for long-range interactions
by: Zhang, Lingfeng, et al.
Published: (2026)
by: Zhang, Lingfeng, et al.
Published: (2026)
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
by: Matsubara, Yoshitomo, et al.
Published: (2022)
by: Matsubara, Yoshitomo, et al.
Published: (2022)
Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on Human Brain Cortex
by: Hou, Jixin, et al.
Published: (2024)
by: Hou, Jixin, et al.
Published: (2024)
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)
Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems
by: Siyu Lou, et al.
Published: (2026)
by: Siyu Lou, et al.
Published: (2026)
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
by: Liu, Xiangyu, et al.
Published: (2025)
by: Liu, Xiangyu, et al.
Published: (2025)
Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
by: Hoekstra, Cas Oude, et al.
Published: (2025)
by: Hoekstra, Cas Oude, et al.
Published: (2025)
Material Hardness Descriptor Derived by Symbolic Regression
by: Tantardini, Christian, et al.
Published: (2023)
by: Tantardini, Christian, et al.
Published: (2023)
Symbolic Regression for Beyond the Standard Model Physics
by: AbdusSalam, Shehu, et al.
Published: (2024)
by: AbdusSalam, Shehu, et al.
Published: (2024)
InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition
by: Liu, Fengze, et al.
Published: (2026)
by: Liu, Fengze, et al.
Published: (2026)
T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders
by: Yermakov, Alexey, et al.
Published: (2025)
by: Yermakov, Alexey, et al.
Published: (2025)
Language Models for Materials Discovery and Sustainability: Progress, Challenges, and Opportunities
by: Pei, Zongrui, et al.
Published: (2025)
by: Pei, Zongrui, et al.
Published: (2025)
Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling
by: Liang, Xiaoxiao, et al.
Published: (2026)
by: Liang, Xiaoxiao, et al.
Published: (2026)
Joint Visibility Region Detection and Channel Estimation for XL-MIMO Systems via Alternating MAP
by: Xu, Wenkang, et al.
Published: (2024)
by: Xu, Wenkang, et al.
Published: (2024)
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression
by: Rovito, Luigi, et al.
Published: (2025)
by: Rovito, Luigi, et al.
Published: (2025)
Similar Items
-
Coarse-Grained Dynamics with Spatial Disorder and Non-Markovian Memory
by: Liu, Chuyi, et al.
Published: (2026) -
Engineering-Oriented Symbolic Regression: LLMs as Physics Agents for Discovery of Simulation-Ready Constitutive Laws
by: Wu, Yue, et al.
Published: (2026) -
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts
by: Xian, Yeming, et al.
Published: (2025) -
Interpretable Scientific Discovery with Symbolic Regression: A Review
by: Makke, Nour, et al.
Published: (2022) -
Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis
by: Nair, Akhil S., et al.
Published: (2024)