Saved in:
| Main Authors: | Liu, Zhaoyi, Zhang, Haichuan, Li, Ang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.20896 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
mHC: Manifold-Constrained Hyper-Connections
by: Xie, Zhenda, et al.
Published: (2025)
by: Xie, Zhenda, et al.
Published: (2025)
mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks
by: Mishra, Subhankar
Published: (2026)
by: Mishra, Subhankar
Published: (2026)
Controlled LLM Training on Spectral Sphere
by: Xie, Tian, et al.
Published: (2026)
by: Xie, Tian, et al.
Published: (2026)
Frac-Connections: Fractional Extension of Hyper-Connections
by: Zhu, Defa, et al.
Published: (2025)
by: Zhu, Defa, et al.
Published: (2025)
JPmHC Dynamical Isometry via Orthogonal Hyper-Connections
by: Sengupta, Biswa, et al.
Published: (2026)
by: Sengupta, Biswa, et al.
Published: (2026)
Ablate and Rescue: A Causal Analysis of Residual Stream Hyper-Connections
by: Peng, William, et al.
Published: (2026)
by: Peng, William, et al.
Published: (2026)
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
by: Zhang, Shaojie, et al.
Published: (2025)
by: Zhang, Shaojie, et al.
Published: (2025)
Large Language Model Agent for Hyper-Parameter Optimization
by: Liu, Siyi, et al.
Published: (2024)
by: Liu, Siyi, et al.
Published: (2024)
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
by: Hu, Zhiwei, et al.
Published: (2024)
by: Hu, Zhiwei, et al.
Published: (2024)
SVRG and Beyond via Posterior Correction
by: Daheim, Nico, et al.
Published: (2025)
by: Daheim, Nico, et al.
Published: (2025)
Attention on the Sphere
by: Bonev, Boris, et al.
Published: (2025)
by: Bonev, Boris, et al.
Published: (2025)
Beyond Autoregressive RTG: Conditioning via Injection Outside Sequential Modeling in Decision Transformer
by: Wang, Yongyi, et al.
Published: (2026)
by: Wang, Yongyi, et al.
Published: (2026)
Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
Destroy and Repair Using Hyper Graphs for Routing
by: Li, Ke, et al.
Published: (2025)
by: Li, Ke, et al.
Published: (2025)
Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective
by: Wang, Haichuan, et al.
Published: (2026)
by: Wang, Haichuan, et al.
Published: (2026)
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
by: Kong, Lingkai, et al.
Published: (2025)
by: Kong, Lingkai, et al.
Published: (2025)
Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents
by: Tec, Mauricio, et al.
Published: (2025)
by: Tec, Mauricio, et al.
Published: (2025)
Causal-Driven Feature Evaluation for Cross-Domain Image Classification
by: Cheng, Chen, et al.
Published: (2026)
by: Cheng, Chen, et al.
Published: (2026)
HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents
by: Li, Guankai, et al.
Published: (2026)
by: Li, Guankai, et al.
Published: (2026)
HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads
by: Zhao, Xiaohui, et al.
Published: (2026)
by: Zhao, Xiaohui, et al.
Published: (2026)
HyperFast: Instant Classification for Tabular Data
by: Bonet, David, et al.
Published: (2024)
by: Bonet, David, et al.
Published: (2024)
HyperAdapt: Simple High-Rank Adaptation
by: Gurung, Abel, et al.
Published: (2025)
by: Gurung, Abel, et al.
Published: (2025)
Safe RLHF Beyond Expectation: Stochastic Dominance for Universal Spectral Risk Control
by: Chittepu, Yaswanth, et al.
Published: (2026)
by: Chittepu, Yaswanth, et al.
Published: (2026)
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications
by: Zhao, Ziming, et al.
Published: (2024)
by: Zhao, Ziming, et al.
Published: (2024)
A HyperGraphMamba-Based Multichannel Adaptive Model for ncRNA Classification
by: An, Xin, et al.
Published: (2025)
by: An, Xin, et al.
Published: (2025)
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
by: Sartor, Davide, et al.
Published: (2025)
by: Sartor, Davide, et al.
Published: (2025)
Process In-Context Learning: Enhancing Mathematical Reasoning via Dynamic Demonstration Insertion
by: Gao, Ang, et al.
Published: (2026)
by: Gao, Ang, et al.
Published: (2026)
Spectral Adapter: Fine-Tuning in Spectral Space
by: Zhang, Fangzhao, et al.
Published: (2024)
by: Zhang, Fangzhao, et al.
Published: (2024)
Hyper-Compression: Model Compression via Hyperfunction
by: Fan, Fenglei, et al.
Published: (2024)
by: Fan, Fenglei, et al.
Published: (2024)
STAR: Spectral Truncation and Rescale for Model Merging
by: Lee, Yu-Ang, et al.
Published: (2025)
by: Lee, Yu-Ang, et al.
Published: (2025)
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
by: Yue, Bo, et al.
Published: (2024)
by: Yue, Bo, et al.
Published: (2024)
Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language Models
by: Tian, Bowei, et al.
Published: (2025)
by: Tian, Bowei, et al.
Published: (2025)
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction
by: Zhang, Qin-Yi, et al.
Published: (2026)
by: Zhang, Qin-Yi, et al.
Published: (2026)
Flow Matching with Arbitrary Auxiliary Paths
by: Peng, Xin, et al.
Published: (2026)
by: Peng, Xin, et al.
Published: (2026)
Rethinking Refinement: Correcting Generative Bias without Noise Injection
by: Peng, Xin, et al.
Published: (2026)
by: Peng, Xin, et al.
Published: (2026)
Gradient Residual Connections
by: Pan, Yangchen, et al.
Published: (2026)
by: Pan, Yangchen, et al.
Published: (2026)
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
by: Gao, Xiaowei, et al.
Published: (2024)
by: Gao, Xiaowei, et al.
Published: (2024)
HyperTransport: Amortized Conditioning of T2I Generative Models
by: Maiorca, Valentino, et al.
Published: (2026)
by: Maiorca, Valentino, et al.
Published: (2026)
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
by: Wever, Marcel, et al.
Published: (2025)
by: Wever, Marcel, et al.
Published: (2025)
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
by: Przewięźlikowski, M., et al.
Published: (2022)
by: Przewięźlikowski, M., et al.
Published: (2022)
Similar Items
-
mHC: Manifold-Constrained Hyper-Connections
by: Xie, Zhenda, et al.
Published: (2025) -
mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks
by: Mishra, Subhankar
Published: (2026) -
Controlled LLM Training on Spectral Sphere
by: Xie, Tian, et al.
Published: (2026) -
Frac-Connections: Fractional Extension of Hyper-Connections
by: Zhu, Defa, et al.
Published: (2025) -
JPmHC Dynamical Isometry via Orthogonal Hyper-Connections
by: Sengupta, Biswa, et al.
Published: (2026)