Compositional Symmetry as Compression: Lie Pseudogroup Structure in Algorithmic Agents
Fuente:
arXiv
Saved in:
| Main Author: | Ruffini, Giulio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Algorithmic Regulator
by: Ruffini, Giulio
Published: (2025)
by: Ruffini, Giulio
Published: (2025)
Deep Learning without Weight Symmetry
by: Ji-An, Li, et al.
Published: (2024)
by: Ji-An, Li, et al.
Published: (2024)
Support Sufficiency as Consequence-Sensitive Compression in Belief Arbitration
by: Walsh, Mark
Published: (2026)
by: Walsh, Mark
Published: (2026)
Category learning in deep neural networks: Information content and geometry of internal representations
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025)
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025)
The Geometry of Concepts: Sparse Autoencoder Feature Structure
by: Li, Yuxiao, et al.
Published: (2024)
by: Li, Yuxiao, et al.
Published: (2024)
Balanced Graph Structure Information for Brain Disease Detection
by: Febrinanto, Falih Gozi, et al.
Published: (2023)
by: Febrinanto, Falih Gozi, et al.
Published: (2023)
Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
by: Rudravaram, Gaurav, et al.
Published: (2025)
by: Rudravaram, Gaurav, et al.
Published: (2025)
Shannon information and integrated information: message and meaning
by: Zaeemzadeh, Alireza, et al.
Published: (2024)
by: Zaeemzadeh, Alireza, et al.
Published: (2024)
Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations
by: Yanagisawa, Hideyoshi, et al.
Published: (2023)
by: Yanagisawa, Hideyoshi, et al.
Published: (2023)
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
by: Bozkurt, Bariscan, et al.
Published: (2023)
by: Bozkurt, Bariscan, et al.
Published: (2023)
What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty
by: Nayebi, Aran
Published: (2026)
by: Nayebi, Aran
Published: (2026)
Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics
by: Keller, Reece, et al.
Published: (2025)
by: Keller, Reece, et al.
Published: (2025)
BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
by: Vahidi, Parsa, et al.
Published: (2025)
by: Vahidi, Parsa, et al.
Published: (2025)
Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
by: Zhang, Qingzhu, et al.
Published: (2025)
by: Zhang, Qingzhu, et al.
Published: (2025)
Inferring response times of perceptual decisions with Poisson variational autoencoders
by: Johnson, Hayden R., et al.
Published: (2025)
by: Johnson, Hayden R., et al.
Published: (2025)
Learning Dynamics of RNNs in Closed-Loop Environments
by: Ger, Yoav, et al.
Published: (2025)
by: Ger, Yoav, et al.
Published: (2025)
Marti-5: A Mathematical Model of "Self in the World" as a First Step Toward Self-Awareness
by: Pivovarov, Igor, et al.
Published: (2025)
by: Pivovarov, Igor, et al.
Published: (2025)
Cross-Modal Representational Knowledge Distillation for Enhanced Spike-Informed LFP Modeling
by: Erturk, Eray, et al.
Published: (2025)
by: Erturk, Eray, et al.
Published: (2025)
Pursuit of biomarkers of brain diseases: Beyond cohort comparisons
by: Helson, Pascal, et al.
Published: (2025)
by: Helson, Pascal, et al.
Published: (2025)
Binding threshold units with artificial oscillatory neurons
by: Fanaskov, Vladimir, et al.
Published: (2025)
by: Fanaskov, Vladimir, et al.
Published: (2025)
Characterizing higher-order representations through generative diffusion models explains human decoded neurofeedback performance
by: Asrari, Hojjat Azimi, et al.
Published: (2025)
by: Asrari, Hojjat Azimi, et al.
Published: (2025)
Active inference for action-unaware agents
by: Torresan, Filippo, et al.
Published: (2025)
by: Torresan, Filippo, et al.
Published: (2025)
Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
by: Wang, Yanwen, et al.
Published: (2025)
by: Wang, Yanwen, et al.
Published: (2025)
Mirror-Neuron Patterns in AI Alignment
by: Wyrick, Robyn
Published: (2025)
by: Wyrick, Robyn
Published: (2025)
Understanding Transformers through the Lens of Pavlovian Conditioning
by: Qiao, Mu
Published: (2025)
by: Qiao, Mu
Published: (2025)
Mentality: A Mamba-based Approach towards Foundation Models for EEG
by: Panchavati, Saarang, et al.
Published: (2025)
by: Panchavati, Saarang, et al.
Published: (2025)
Stimulus-Voltage-Based Prediction of Action Potential Onset Timing: Classical vs. Quantum-Inspired Approaches
by: Johnson, Stevens, et al.
Published: (2025)
by: Johnson, Stevens, et al.
Published: (2025)
Contrastive Self-Supervised Learning As Neural Manifold Packing
by: Zhang, Guanming, et al.
Published: (2025)
by: Zhang, Guanming, et al.
Published: (2025)
BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
by: Oganesian, Lucine L., et al.
Published: (2025)
by: Oganesian, Lucine L., et al.
Published: (2025)
Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
by: Rudnicka, Zofia, et al.
Published: (2025)
by: Rudnicka, Zofia, et al.
Published: (2025)
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
by: Erturk, Eray, et al.
Published: (2025)
by: Erturk, Eray, et al.
Published: (2025)
Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
by: Pellatt, Lloyd, et al.
Published: (2025)
by: Pellatt, Lloyd, et al.
Published: (2025)
Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement Learning
by: Maytié, Léopold, et al.
Published: (2025)
by: Maytié, Léopold, et al.
Published: (2025)
An Inference-Based Architecture for Intent and Affordance Saturation in Decision-Making
by: Ilboudo, Wendyam Eric Lionel, et al.
Published: (2025)
by: Ilboudo, Wendyam Eric Lionel, et al.
Published: (2025)
Fast weight programming and linear transformers: from machine learning to neurobiology
by: Irie, Kazuki, et al.
Published: (2025)
by: Irie, Kazuki, et al.
Published: (2025)
Neural Encoding and Decoding at Scale
by: Zhang, Yizi, et al.
Published: (2025)
by: Zhang, Yizi, et al.
Published: (2025)
Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data
by: Zhou, Zixia, et al.
Published: (2025)
by: Zhou, Zixia, et al.
Published: (2025)
DLGE: Dual Local-Global Encoding for Generalizable Cross-BCI-Paradigm
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization
by: Ouyang, Kaichen
Published: (2025)
by: Ouyang, Kaichen
Published: (2025)
Defining and Benchmarking a Data-Centric Design Space for Brain Graph Construction
by: Ge, Qinwen, et al.
Published: (2025)
by: Ge, Qinwen, et al.
Published: (2025)
Similar Items
-
The Algorithmic Regulator
by: Ruffini, Giulio
Published: (2025) -
Deep Learning without Weight Symmetry
by: Ji-An, Li, et al.
Published: (2024) -
Support Sufficiency as Consequence-Sensitive Compression in Belief Arbitration
by: Walsh, Mark
Published: (2026) -
Category learning in deep neural networks: Information content and geometry of internal representations
by: Bonnasse-Gahot, Laurent, et al.
Published: (2025) -
The Geometry of Concepts: Sparse Autoencoder Feature Structure
by: Li, Yuxiao, et al.
Published: (2024)