Saved in:
| Main Authors: | Sun, Michael, Foo, Orion, Liu, Gang, Matusik, Wojciech, Chen, Jie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.22949 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
by: Liu, Gang, et al.
Published: (2024)
by: Liu, Gang, et al.
Published: (2024)
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages
by: Sun, Michael, et al.
Published: (2025)
by: Sun, Michael, et al.
Published: (2025)
Representing Molecules as Random Walks Over Interpretable Grammars
by: Sun, Michael, et al.
Published: (2024)
by: Sun, Michael, et al.
Published: (2024)
Procedural Synthesis of Synthesizable Molecules
by: Sun, Michael, et al.
Published: (2024)
by: Sun, Michael, et al.
Published: (2024)
MeMo: Meaningful, Modular Controllers via Noise Injection
by: Tjandrasuwita, Megan, et al.
Published: (2024)
by: Tjandrasuwita, Megan, et al.
Published: (2024)
A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
by: Lo, Alston, et al.
Published: (2025)
by: Lo, Alston, et al.
Published: (2025)
Neural Statistical Functions
by: Xu, Daniel, et al.
Published: (2026)
by: Xu, Daniel, et al.
Published: (2026)
Post Hoc Regression Refinement via Pairwise Rankings
by: Wijaya, Kevin Tirta, et al.
Published: (2025)
by: Wijaya, Kevin Tirta, et al.
Published: (2025)
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors
by: Chen, Wenqiang, et al.
Published: (2024)
by: Chen, Wenqiang, et al.
Published: (2024)
FlashBias: Fast Computation of Attention with Bias
by: Wu, Haixu, et al.
Published: (2025)
by: Wu, Haixu, et al.
Published: (2025)
Hierarchical Transformer Preconditioning for Interactive Physics Simulation
by: Osborne, Carl, et al.
Published: (2026)
by: Osborne, Carl, et al.
Published: (2026)
Configurable Holography: Towards Display and Scene Adaptation
by: Zhan, Yicheng, et al.
Published: (2024)
by: Zhan, Yicheng, et al.
Published: (2024)
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
by: Tian, Yunsheng, et al.
Published: (2024)
by: Tian, Yunsheng, et al.
Published: (2024)
Two-Stage Pretraining for Molecular Property Prediction in the Wild
by: Wijaya, Kevin Tirta, et al.
Published: (2024)
by: Wijaya, Kevin Tirta, et al.
Published: (2024)
Neural Modular Physics for Elastic Simulation
by: Li, Yifei, et al.
Published: (2025)
by: Li, Yifei, et al.
Published: (2025)
KAN 2.0: Kolmogorov-Arnold Networks Meet Science
by: Liu, Ziming, et al.
Published: (2024)
by: Liu, Ziming, et al.
Published: (2024)
RigidFormer: Learning Rigid Dynamics using Transformers
by: Dou, Zhiyang, et al.
Published: (2026)
by: Dou, Zhiyang, et al.
Published: (2026)
SemanticOpt: Towards LLM-Based Semantic Black-Box Optimization
by: Meindl, Jamison, et al.
Published: (2025)
by: Meindl, Jamison, et al.
Published: (2025)
MetaGen: A DSL, Database, and Benchmark for VLM-Assisted Metamaterial Generation
by: Makatura, Liane, et al.
Published: (2025)
by: Makatura, Liane, et al.
Published: (2025)
GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training
by: Wu, Haixu, et al.
Published: (2026)
by: Wu, Haixu, et al.
Published: (2026)
ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
by: Meindl, Jamison, et al.
Published: (2025)
by: Meindl, Jamison, et al.
Published: (2025)
Graph Diffusion Transformers are In-Context Molecular Designers
by: Liu, Gang, et al.
Published: (2025)
by: Liu, Gang, et al.
Published: (2025)
Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
by: Chen, Siyuan, et al.
Published: (2025)
by: Chen, Siyuan, et al.
Published: (2025)
Evolutionary Architecture Search through Grammar-Based Sequence Alignment
by: Martín, Adri Gómez, et al.
Published: (2025)
by: Martín, Adri Gómez, et al.
Published: (2025)
AI-Enhanced Automatic Design of Efficient Underwater Gliders
by: Chen, Peter Yichen, et al.
Published: (2025)
by: Chen, Peter Yichen, et al.
Published: (2025)
Permutation-based Inference for Variational Learning of Directed Acyclic Graphs
by: Bonilla, Edwin V., et al.
Published: (2024)
by: Bonilla, Edwin V., et al.
Published: (2024)
Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement
by: Mi, Yuan, et al.
Published: (2024)
by: Mi, Yuan, et al.
Published: (2024)
Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs
by: Li, Beichen, et al.
Published: (2023)
by: Li, Beichen, et al.
Published: (2023)
Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs
by: Arndt, Jost, et al.
Published: (2025)
by: Arndt, Jost, et al.
Published: (2025)
ScaleNet: Scale Invariance Learning in Directed Graphs
by: Jiang, Qin, et al.
Published: (2024)
by: Jiang, Qin, et al.
Published: (2024)
Single-cell Curriculum Learning-based Deep Graph Embedding Clustering
by: Li, Huifa, et al.
Published: (2024)
by: Li, Huifa, et al.
Published: (2024)
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
by: Chen, Dexiong, et al.
Published: (2025)
by: Chen, Dexiong, et al.
Published: (2025)
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
by: Ma, Pingchuan, et al.
Published: (2024)
by: Ma, Pingchuan, et al.
Published: (2024)
Learning Directed Acyclic Graphs from Partial Orderings
by: Shojaie, Ali, et al.
Published: (2024)
by: Shojaie, Ali, et al.
Published: (2024)
Spatio-Temporal Directed Graph Learning for Account Takeover Fraud Detection
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2025)
by: Kerdabadi, Mohsen Nayebi, et al.
Published: (2025)
Bridging the Divide: End-to-End Sequence-Graph Learning
by: Chen, Yuen, et al.
Published: (2025)
by: Chen, Yuen, et al.
Published: (2025)
Structure-enhanced Contrastive Learning for Graph Clustering
by: Wu, Xunlian, et al.
Published: (2024)
by: Wu, Xunlian, et al.
Published: (2024)
Convolutional Learning on Directed Acyclic Graphs
by: Rey, Samuel, et al.
Published: (2024)
by: Rey, Samuel, et al.
Published: (2024)
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
by: Shabani, Nasrin, et al.
Published: (2023)
by: Shabani, Nasrin, et al.
Published: (2023)
Confidence Sequences for Generalized Linear Models via Regret Analysis
by: Clerico, Eugenio, et al.
Published: (2025)
by: Clerico, Eugenio, et al.
Published: (2025)
Similar Items
-
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
by: Liu, Gang, et al.
Published: (2024) -
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages
by: Sun, Michael, et al.
Published: (2025) -
Representing Molecules as Random Walks Over Interpretable Grammars
by: Sun, Michael, et al.
Published: (2024) -
Procedural Synthesis of Synthesizable Molecules
by: Sun, Michael, et al.
Published: (2024) -
MeMo: Meaningful, Modular Controllers via Noise Injection
by: Tjandrasuwita, Megan, et al.
Published: (2024)