Copertina

Bayesian Predictive Coding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tschantz, Alexander, Koudahl, Magnus, Linander, Hampus, Da Costa, Lancelot, Heins, Conor, Beck, Jeff, Buckley, Christopher
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Soft Geometric Inductive Bias for Object Centric Dynamics
di: Linander, Hampus, et al.
Pubblicazione: (2025)

Gradient-free variational learning with conditional mixture networks
di: Heins, Conor, et al.
Pubblicazione: (2024)

AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models
di: Heins, Conor, et al.
Pubblicazione: (2025)

Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
di: Balabanov, Oleksandr, et al.
Pubblicazione: (2024)

From pixels to planning: scale-free active inference
di: Friston, Karl, et al.
Pubblicazione: (2024)

Active inference and artificial reasoning
di: Friston, Karl, et al.
Pubblicazione: (2025)

Bayesian posterior approximation with stochastic ensembles
di: Balabanov, Oleksandr, et al.
Pubblicazione: (2022)

Natural Building Blocks for Structured World Models: Theory, Evidence, and Scaling
di: Da Costa, Lancelot, et al.
Pubblicazione: (2025)

Brain-inspired Computational Intelligence via Predictive Coding
di: Salvatori, Tommaso, et al.
Pubblicazione: (2023)

On efficient computation in active inference
di: Paul, Aswin, et al.
Pubblicazione: (2023)

$μ$PC: Scaling Predictive Coding to 100+ Layer Networks
di: Innocenti, Francesco, et al.
Pubblicazione: (2025)

JPC: Flexible Inference for Predictive Coding Networks in JAX
di: Innocenti, Francesco, et al.
Pubblicazione: (2024)

Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
di: Innocenti, Francesco, et al.
Pubblicazione: (2024)

Do Weibo platform experts perform better at predicting stock market?
di: Ma, Ziyuan, et al.
Pubblicazione: (2024)

Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
di: Sennesh, Eli, et al.
Pubblicazione: (2024)

Conformal Prediction as Bayesian Quadrature
di: Snell, Jake C., et al.
Pubblicazione: (2025)

Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming
di: Narita, Minori, et al.
Pubblicazione: (2025)

Imitation Learning for Multi-turn LM Agents via On-policy Expert Corrections
di: Lauffer, Niklas, et al.
Pubblicazione: (2025)

Contrastive Difference Predictive Coding
di: Zheng, Chongyi, et al.
Pubblicazione: (2023)

Offline RLAIF: Piloting VLM Feedback for RL via SFO
di: Beck, Jacob
Pubblicazione: (2025)

Position: The Future of Bayesian Prediction Is Prior-Fitted
di: Müller, Samuel, et al.
Pubblicazione: (2025)

Bayesian Hierarchical Invariant Prediction
di: Madaleno, Francisco, et al.
Pubblicazione: (2025)

Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
di: Nezhadettehad, Alireza, et al.
Pubblicazione: (2026)

Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference
di: Lukashchuk, Mykola, et al.
Pubblicazione: (2026)

DPD-Cancer: Explainable Graph-Based Deep Learning for Small Molecule Anti-Cancer Activity Prediction
di: Strømme, Magnus H., et al.
Pubblicazione: (2026)

Hotel Booking Cancellation Prediction Using Applied Bayesian Models
di: Jishan, Md Asifuzzaman, et al.
Pubblicazione: (2024)

C2G-KD: PCA-Constrained Generator for Data-Free Knowledge Distillation
di: Bengtsson, Magnus, et al.
Pubblicazione: (2025)

Auto-encoding Molecules: Graph-Matching Capabilities Matter
di: Cunow, Magnus, et al.
Pubblicazione: (2025)

Orthogonal Factor-Based Biclustering Algorithm (BCBOF) for High-Dimensional Data and Its Application in Stock Trend Prediction
di: Huang, Yan, et al.
Pubblicazione: (2025)

Neural Bayesian Filtering
di: Solinas, Christopher, et al.
Pubblicazione: (2025)

Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models
di: Matijevic, Sara, et al.
Pubblicazione: (2026)

ePC: Fast and Deep Predictive Coding for Digital Hardware
di: Goemaere, Cédric, et al.
Pubblicazione: (2025)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
di: Deutel, Mark, et al.
Pubblicazione: (2023)

Scaling Up Bayesian DAG Sampling
di: Nikzad, Daniele, et al.
Pubblicazione: (2025)

Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture -- Bridging Predictive and Generative Self-Supervised Learning
di: Gögl, Moritz, et al.
Pubblicazione: (2026)

Bayesian Regression for Predicting Subscription to Bank Term Deposits in Direct Marketing Campaigns
di: Tanvir, Muhammad Farhan, et al.
Pubblicazione: (2024)

Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems
di: Wei, Ran, et al.
Pubblicazione: (2024)

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks
di: Gupta, Mohit, et al.
Pubblicazione: (2025)

any4: Learned 4-bit Numeric Representation for LLMs
di: Elhoushi, Mostafa, et al.
Pubblicazione: (2025)

Learning with Expert Abstractions for Efficient Multi-Task Continuous Control
di: Jewett, Jeff, et al.
Pubblicazione: (2025)