Manifold Sampling via Entropy Maximization
Fuente:
arXiv
Saved in:
| Main Authors: | Braun, Cornelius V., Burghoff, Tilman, Toussaint, Marc |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling
by: Toussaint, Marc, et al.
Published: (2024)
by: Toussaint, Marc, et al.
Published: (2024)
Stein Variational Evolution Strategies
by: Braun, Cornelius V., et al.
Published: (2024)
by: Braun, Cornelius V., et al.
Published: (2024)
Trajectory First: A Curriculum for Discovering Diverse Policies
by: Braun, Cornelius V., et al.
Published: (2025)
by: Braun, Cornelius V., et al.
Published: (2025)
Manifold-based Sampling for In-Context Hallucination Detection in Large Language Models
by: Vamshi, Bodla Krishna, et al.
Published: (2026)
by: Vamshi, Bodla Krishna, et al.
Published: (2026)
How to Explore with Belief: State Entropy Maximization in POMDPs
by: Zamboni, Riccardo, et al.
Published: (2024)
by: Zamboni, Riccardo, et al.
Published: (2024)
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
by: Huang, Yao, et al.
Published: (2025)
by: Huang, Yao, et al.
Published: (2025)
Gradient Dynamics of Attention: How Cross-Entropy Sculpts Bayesian Manifolds
by: Agarwal, Naman, et al.
Published: (2025)
by: Agarwal, Naman, et al.
Published: (2025)
Temporal Alignment Guidance: On-Manifold Sampling in Diffusion Models
by: Park, Youngrok, et al.
Published: (2025)
by: Park, Youngrok, et al.
Published: (2025)
Understanding Unreliability of Steering Vectors in Language Models: Geometric Predictors and the Limits of Linear Approximations
by: Braun, Joschka
Published: (2026)
by: Braun, Joschka
Published: (2026)
SOE: Sample-Efficient Robot Policy Self-Improvement via On-Manifold Exploration
by: Jin, Yang, et al.
Published: (2025)
by: Jin, Yang, et al.
Published: (2025)
ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection
by: Datta, Debajyoti, et al.
Published: (2026)
by: Datta, Debajyoti, et al.
Published: (2026)
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
by: Xia, Song, et al.
Published: (2025)
by: Xia, Song, et al.
Published: (2025)
To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
ESPO: Entropy Importance Sampling Policy Optimization
by: Sheng, Yuepeng, et al.
Published: (2025)
by: Sheng, Yuepeng, et al.
Published: (2025)
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
by: Le, Thanh-Long V., et al.
Published: (2025)
by: Le, Thanh-Long V., et al.
Published: (2025)
Bridge the Inference Gaps of Neural Processes via Expectation Maximization
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
The Manifold of the Absolute: Religious Perennialism as Generative Inference
by: Juliani, Arthur
Published: (2026)
by: Juliani, Arthur
Published: (2026)
mHC: Manifold-Constrained Hyper-Connections
by: Xie, Zhenda, et al.
Published: (2025)
by: Xie, Zhenda, et al.
Published: (2025)
Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping
by: Shin, Seunghyeok, et al.
Published: (2026)
by: Shin, Seunghyeok, et al.
Published: (2026)
Kernel Dynamics under Path Entropy Maximization
by: Das, Jnaneshwar
Published: (2026)
by: Das, Jnaneshwar
Published: (2026)
GTPO: Stabilizing Group Relative Policy Optimization via Gradient and Entropy Control
by: Simoni, Marco, et al.
Published: (2025)
by: Simoni, Marco, et al.
Published: (2025)
Explore Briefly, Then Decide: Mitigating LLM Overthinking via Cumulative Entropy Regulation
by: Bin, Yi, et al.
Published: (2025)
by: Bin, Yi, et al.
Published: (2025)
Twin-Boot: Uncertainty-Aware Optimization via Online Two-Sample Bootstrapping
by: Brito, Carlos Stein
Published: (2025)
by: Brito, Carlos Stein
Published: (2025)
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning
by: Xie, Tianchi, et al.
Published: (2024)
by: Xie, Tianchi, et al.
Published: (2024)
Recovering Manifold Structure Using Ollivier-Ricci Curvature
by: Saidi, Tristan Luca, et al.
Published: (2024)
by: Saidi, Tristan Luca, et al.
Published: (2024)
Pathways on the Image Manifold: Image Editing via Video Generation
by: Rotstein, Noam, et al.
Published: (2024)
by: Rotstein, Noam, et al.
Published: (2024)
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding
by: Li, Jiang, et al.
Published: (2024)
by: Li, Jiang, et al.
Published: (2024)
The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models
by: Cho, Seonglae, et al.
Published: (2026)
by: Cho, Seonglae, et al.
Published: (2026)
Causal Manifold Fairness: Enforcing Geometric Invariance in Representation Learning
by: Rathore, Vidhi
Published: (2026)
by: Rathore, Vidhi
Published: (2026)
When Do LLMs Reason? A Dynamical Systems View via Entropy Phase Transitions
by: Xia, Wei, et al.
Published: (2026)
by: Xia, Wei, et al.
Published: (2026)
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper
by: Zeng, Runjia, et al.
Published: (2025)
by: Zeng, Runjia, et al.
Published: (2025)
On the Entropy Calibration of Language Models
by: Cao, Steven, et al.
Published: (2025)
by: Cao, Steven, et al.
Published: (2025)
A Unified Approach for Maximizing Continuous DR-submodular Functions
by: Pedramfar, Mohammad, et al.
Published: (2023)
by: Pedramfar, Mohammad, et al.
Published: (2023)
Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
by: Choi, Minsik, et al.
Published: (2025)
by: Choi, Minsik, et al.
Published: (2025)
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)
Rethinking GSPO: The Perplexity-Entropy Equivalence
by: Liu, Chi
Published: (2025)
by: Liu, Chi
Published: (2025)
Entropy Controllable Direct Preference Optimization
by: Omura, Motoki, et al.
Published: (2024)
by: Omura, Motoki, et al.
Published: (2024)
Detecting Training Data of Large Language Models via Expectation Maximization
by: Kim, Gyuwan, et al.
Published: (2024)
by: Kim, Gyuwan, et al.
Published: (2024)
A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2025)
by: Peng, Ningkang, et al.
Published: (2025)
Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
by: Scutari, Marco
Published: (2023)
by: Scutari, Marco
Published: (2023)
Similar Items
-
NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling
by: Toussaint, Marc, et al.
Published: (2024) -
Stein Variational Evolution Strategies
by: Braun, Cornelius V., et al.
Published: (2024) -
Trajectory First: A Curriculum for Discovering Diverse Policies
by: Braun, Cornelius V., et al.
Published: (2025) -
Manifold-based Sampling for In-Context Hallucination Detection in Large Language Models
by: Vamshi, Bodla Krishna, et al.
Published: (2026) -
How to Explore with Belief: State Entropy Maximization in POMDPs
by: Zamboni, Riccardo, et al.
Published: (2024)