Saved in:
| Main Authors: | Liu, Peng, Cheng, Lian, Omell, Benjamin P., Burgard, Anthony P. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.07131 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
by: Yao, Yue, et al.
Published: (2024)
by: Yao, Yue, et al.
Published: (2024)
ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
by: Lian, Junbo Jacob, et al.
Published: (2026)
by: Lian, Junbo Jacob, et al.
Published: (2026)
Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints
by: Hahn, Waldemar, et al.
Published: (2025)
by: Hahn, Waldemar, et al.
Published: (2025)
Efficient Generative Model Training via Embedded Representation Warmup
by: Liu, Deyuan, et al.
Published: (2025)
by: Liu, Deyuan, et al.
Published: (2025)
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
by: Liu, Minghao, et al.
Published: (2025)
by: Liu, Minghao, et al.
Published: (2025)
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
by: Bettker, R. V., et al.
Published: (2022)
by: Bettker, R. V., et al.
Published: (2022)
Think Then Embed: Generative Context Improves Multimodal Embedding
by: Cui, Xuanming, et al.
Published: (2025)
by: Cui, Xuanming, et al.
Published: (2025)
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
Intrinsic-Energy Joint Embedding Predictive Architectures Induce Quasimetric Spaces
by: Kobanda, Anthony, et al.
Published: (2026)
by: Kobanda, Anthony, et al.
Published: (2026)
LinkedIn Post Embeddings: Industrial Scale Embedding Generation and Usage across LinkedIn
by: Ramanujam, Sudarshan Srinivasa, et al.
Published: (2024)
by: Ramanujam, Sudarshan Srinivasa, et al.
Published: (2024)
Refining Compositional Diffusion for Reliable Long-Horizon Planning
by: Lee, Kyowoon, et al.
Published: (2026)
by: Lee, Kyowoon, et al.
Published: (2026)
Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver
by: Yu, Canhong, et al.
Published: (2026)
by: Yu, Canhong, et al.
Published: (2026)
Learning with Embedded Linear Equality Constraints via Variational Bayesian Inference
by: Marsh, Matthew, et al.
Published: (2026)
by: Marsh, Matthew, et al.
Published: (2026)
Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling
by: Zhao, Weijie, et al.
Published: (2026)
by: Zhao, Weijie, et al.
Published: (2026)
LAVA: Explainability for Unsupervised Latent Embeddings
by: Stresec, Ivan, et al.
Published: (2025)
by: Stresec, Ivan, et al.
Published: (2025)
Planning with Multi-Constraints via Collaborative Language Agents
by: Zhang, Cong, et al.
Published: (2024)
by: Zhang, Cong, et al.
Published: (2024)
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2022)
by: Liao, Brian Hsuan-Cheng, et al.
Published: (2022)
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
by: Chen, Jianlv, et al.
Published: (2024)
by: Chen, Jianlv, et al.
Published: (2024)
BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding
by: Huang, Chenguang, et al.
Published: (2024)
by: Huang, Chenguang, et al.
Published: (2024)
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
by: Cornelio, Cristina, et al.
Published: (2025)
by: Cornelio, Cristina, et al.
Published: (2025)
Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning
by: Hwang, Jaebak, et al.
Published: (2025)
by: Hwang, Jaebak, et al.
Published: (2025)
Improving Predictor Reliability with Selective Recalibration
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
A General Framework for Producing Interpretable Semantic Text Embeddings
by: Sun, Yiqun, et al.
Published: (2024)
by: Sun, Yiqun, et al.
Published: (2024)
Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language
by: Costarelli, Anthony, et al.
Published: (2024)
by: Costarelli, Anthony, et al.
Published: (2024)
Sharper Generalization Bounds for Transformer
by: Li, Yawen, et al.
Published: (2026)
by: Li, Yawen, et al.
Published: (2026)
Neural Network Verification with Branch-and-Bound for General Nonlinearities
by: Shi, Zhouxing, et al.
Published: (2024)
by: Shi, Zhouxing, et al.
Published: (2024)
Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem
by: Kose, Neslihan, et al.
Published: (2025)
by: Kose, Neslihan, et al.
Published: (2025)
Probabilistic Circuits with Constraints via Convex Optimization
by: Ghandi, Soroush, et al.
Published: (2024)
by: Ghandi, Soroush, et al.
Published: (2024)
U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning
by: Lee, Christine P, et al.
Published: (2026)
by: Lee, Christine P, et al.
Published: (2026)
Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion
by: Zhang, Jun-Jie, et al.
Published: (2024)
by: Zhang, Jun-Jie, et al.
Published: (2024)
Limited Reference, Reliable Generation: A Two-Component Framework for Tabular Data Generation in Low-Data Regimes
by: Jiang, Mingxuan, et al.
Published: (2025)
by: Jiang, Mingxuan, et al.
Published: (2025)
Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations
by: Peng, Baiyu, et al.
Published: (2024)
by: Peng, Baiyu, et al.
Published: (2024)
CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling
by: Liu, Dengcan, et al.
Published: (2026)
by: Liu, Dengcan, et al.
Published: (2026)
You Can Generate It Again: Data-to-Text Generation with Verification and Correction Prompting
by: Ren, Xuan, et al.
Published: (2023)
by: Ren, Xuan, et al.
Published: (2023)
Efficient Stimuli Generation using Reinforcement Learning in Design Verification
by: Gadde, Deepak Narayan, et al.
Published: (2024)
by: Gadde, Deepak Narayan, et al.
Published: (2024)
Constrained Posterior Sampling: Time Series Generation with Hard Constraints
by: Narasimhan, Sai Shankar, et al.
Published: (2024)
by: Narasimhan, Sai Shankar, et al.
Published: (2024)
Plantain: Plan-Answer Interleaved Reasoning
by: Liang, Anthony, et al.
Published: (2025)
by: Liang, Anthony, et al.
Published: (2025)
Verification-Aware Planning for Multi-Agent Systems
by: Xu, Tianyang, et al.
Published: (2025)
by: Xu, Tianyang, et al.
Published: (2025)
A Time-Series Foundation Model by Universal Delay Embedding
by: Wang, Zijian, et al.
Published: (2025)
by: Wang, Zijian, et al.
Published: (2025)
Similar Items
-
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
by: Yao, Yue, et al.
Published: (2024) -
ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
by: Lian, Junbo Jacob, et al.
Published: (2026) -
Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints
by: Hahn, Waldemar, et al.
Published: (2025) -
Efficient Generative Model Training via Embedded Representation Warmup
by: Liu, Deyuan, et al.
Published: (2025) -
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
by: Liu, Minghao, et al.
Published: (2025)