Cover Image

Interestingness as an Inductive Heuristic for Future Compression Progress

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Herrmann, Vincent, Schmidhuber, Jürgen
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Useful Representations of Recurrent Neural Network Weight Matrices
by: Herrmann, Vincent, et al.
Published: (2024)

Measuring In-Context Computation Complexity via Hidden State Prediction
by: Herrmann, Vincent, et al.
Published: (2025)

Upside Down Reinforcement Learning with Policy Generators
by: Di Ventura, Jacopo, et al.
Published: (2025)

Multiple Token Divergence: Measuring and Steering In-Context Computation Density
by: Herrmann, Vincent, et al.
Published: (2025)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)

Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning
by: Wang, Yuhui, et al.
Published: (2024)

Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
by: Alhakami, Mohannad, et al.
Published: (2024)

The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology
by: Yıldırım, Alper
Published: (2026)

Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
by: Dai, Yanning, et al.
Published: (2026)

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels
by: Rath, Plawan Kumar, et al.
Published: (2026)

FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
by: Zhang, Mingda, et al.
Published: (2026)

ReflexGrad: Within-Episode Failure Recovery in LLM Agents via Progress-Gated Dual-Process Routing
by: Kadu, Ankush, et al.
Published: (2025)

Automatic Album Sequencing
by: Herrmann, Vincent, et al.
Published: (2024)

On the Limits of Learned Importance Scoring for KV Cache Compression
by: Steele, Brady
Published: (2026)

The ARC of Progress towards AGI: A Living Survey of Abstraction and Reasoning
by: Vahdati, Sahar, et al.
Published: (2026)

Aligning LLMs on a Budget: Inference-Time Alignment with Heuristic Reward Models
by: Nakamura, Mason, et al.
Published: (2025)

Dodo: Dynamic Contextual Compression for Decoder-only LMs
by: Qin, Guanghui, et al.
Published: (2023)

Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
by: Alsheikh, Ahmad, et al.
Published: (2025)

Graph Neural Networks are Heuristics
by: Min, Yimeng, et al.
Published: (2026)

ParalESN: Enabling parallel information processing in Reservoir Computing
by: Pinna, Matteo, et al.
Published: (2026)

Understanding Goal Generalisation in Sequential Reinforcement Learning
by: Brown, Jason Ross, et al.
Published: (2026)

What changes after deployment? A survey on On-device Learning in TinyML
by: Pavan, Massimo, et al.
Published: (2026)

Bounded Ratio Reinforcement Learning
by: Ao, Yunke, et al.
Published: (2026)

Dynamics Reveals Structure: Challenging the Linear Propagation Assumption
by: Chang, Hoyeon, et al.
Published: (2026)

Low-Dimensional Execution Manifolds in Transformer Learning Dynamics: Evidence from Modular Arithmetic Tasks
by: Xu, Yongzhong
Published: (2026)

Extending Differential Temporal Difference Methods for Episodic Problems
by: De Asis, Kris, et al.
Published: (2026)

Democratic Preference Alignment via Sortition-Weighted RLHF
by: Sana, Suvadip, et al.
Published: (2026)

Architectural Proprioception in State Space Models: Thermodynamic Training Induces Anticipatory Halt Detection
by: Noon, Jay
Published: (2026)

Behavior Learning (BL): Learning Hierarchical Optimization Structures from Data
by: Ma, Zhenyao, et al.
Published: (2026)

Spectral Compact Training: Pre-Training Large Language Models via Permanent Truncated SVD and Stiefel QR Retraction
by: Kohlberger, Björn Roman
Published: (2026)

Market-Alignment Risk in Pricing Agents: Trace Diagnostics and Trace-Prior RL under Hidden Competitor State
by: Zhu, Peiying, et al.
Published: (2026)

Superposition Is Not Necessary: A Mechanistic Interpretability Analysis of Transformer Representations for Time Series Forecasting
by: Yıldırım, Alper
Published: (2026)

Path-Coupled Bellman Flows for Distributional Reinforcement Learning
by: Xu, Boyang, et al.
Published: (2026)

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
by: Liu, Weijie, et al.
Published: (2025)

DataRater: Meta-Learned Dataset Curation
by: Calian, Dan A., et al.
Published: (2025)

Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator
by: Furuyama, Ryoma, et al.
Published: (2024)

Manipulating Predictions over Discrete Inputs in Machine Teaching
by: Wu, Xiaodong, et al.
Published: (2024)

Axiomatic Characterisations of Sample-based Explainers
by: Amgoud, Leila, et al.
Published: (2024)

The Lattice Geometry of Neural Network Quantization -- A Short Equivalence Proof of GPTQ and Babai's Algorithm
by: Birnick, Johann
Published: (2025)

Evaluation of post-hoc interpretability methods in time-series classification
by: Turbé, Hugues, et al.
Published: (2022)