CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Kaiyuan, Guo, Xingzhuo, Zhang, Yu, Wang, Jianmin, Long, Mingsheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Brain-inspired Computational Intelligence via Predictive Coding
by: Salvatori, Tommaso, et al.
Published: (2023)
by: Salvatori, Tommaso, et al.
Published: (2023)
ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms
by: Goertzel, Ben
Published: (2025)
by: Goertzel, Ben
Published: (2025)
Introduction to Predictive Coding Networks for Machine Learning
by: Stenlund, Mikko
Published: (2025)
by: Stenlund, Mikko
Published: (2025)
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling
by: Musto, Henry, et al.
Published: (2024)
by: Musto, Henry, et al.
Published: (2024)
JPC: Flexible Inference for Predictive Coding Networks in JAX
by: Innocenti, Francesco, et al.
Published: (2024)
by: Innocenti, Francesco, et al.
Published: (2024)
Probabilistic Neural Circuits
by: Martires, Pedro Zuidberg Dos
Published: (2024)
by: Martires, Pedro Zuidberg Dos
Published: (2024)
Heuristically Adaptive Diffusion-Model Evolutionary Strategy
by: Hartl, Benedikt, et al.
Published: (2024)
by: Hartl, Benedikt, et al.
Published: (2024)
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
by: Loo, Junn Yong, et al.
Published: (2024)
by: Loo, Junn Yong, et al.
Published: (2024)
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
by: Salvatori, Tommaso, et al.
Published: (2022)
by: Salvatori, Tommaso, et al.
Published: (2022)
Sample-based Dynamic Hierarchical Transformer with Layer and Head Flexibility via Contextual Bandit
by: Meng, Fanfei, et al.
Published: (2023)
by: Meng, Fanfei, et al.
Published: (2023)
Evolution Meets Diffusion: Efficient Neural Architecture Generation
by: Zhou, Bingye, et al.
Published: (2025)
by: Zhou, Bingye, et al.
Published: (2025)
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
by: Xie, Hui, et al.
Published: (2025)
by: Xie, Hui, et al.
Published: (2025)
Predictive Coding Networks and Inference Learning: Tutorial and Survey
by: van Zwol, Björn, et al.
Published: (2024)
by: van Zwol, Björn, et al.
Published: (2024)
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
Predictive Coding Graphs are a Superset of Feedforward Neural Networks
by: van Zwol, Björn
Published: (2026)
by: van Zwol, Björn
Published: (2026)
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
by: Tan, Rong-Xi, et al.
Published: (2025)
by: Tan, Rong-Xi, et al.
Published: (2025)
Nonparametric Modern Hopfield Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation
by: Guo, Sihang, et al.
Published: (2026)
by: Guo, Sihang, et al.
Published: (2026)
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks
by: Long, Quan, et al.
Published: (2025)
by: Long, Quan, et al.
Published: (2025)
Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025)
by: Zhang, Bowen, et al.
Published: (2025)
Evolution-based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes
by: Yu, Runlong, et al.
Published: (2024)
by: Yu, Runlong, et al.
Published: (2024)
Bridging Models to Defend: A Population-Based Strategy for Robust Adversarial Defense
by: Wang, Ren, et al.
Published: (2023)
by: Wang, Ren, et al.
Published: (2023)
Feedback Favors the Generalization of Neural ODEs
by: Jia, Jindou, et al.
Published: (2024)
by: Jia, Jindou, et al.
Published: (2024)
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
by: Kochnev, Roman, et al.
Published: (2025)
by: Kochnev, Roman, et al.
Published: (2025)
A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning
by: Qin, Lang, et al.
Published: (2022)
by: Qin, Lang, et al.
Published: (2022)
EOE: Evolutionary Optimization of Experts for Training Language Models
by: Chen, Yingshi
Published: (2025)
by: Chen, Yingshi
Published: (2025)
Why "classic" Transformers are shallow and how to make them go deep
by: Yu, Yueyao, et al.
Published: (2023)
by: Yu, Yueyao, et al.
Published: (2023)
Interpretable Fine-Gray Deep Survival Model for Competing Risks: Predicting Post-Discharge Foot Complications for Diabetic Patients in Ontario
by: Ramachandram, Dhanesh, et al.
Published: (2025)
by: Ramachandram, Dhanesh, et al.
Published: (2025)
DGPO: RL-Steered Graph Diffusion for Neural Architecture Generation
by: Liuliakov, Aleksei, et al.
Published: (2026)
by: Liuliakov, Aleksei, et al.
Published: (2026)
A Synthesizable RTL Implementation of Predictive Coding Networks
by: Oh, Timothy
Published: (2026)
by: Oh, Timothy
Published: (2026)
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
by: Xu, Mingkun, et al.
Published: (2024)
by: Xu, Mingkun, et al.
Published: (2024)
Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models
by: Wang, Xudong, et al.
Published: (2026)
by: Wang, Xudong, et al.
Published: (2026)
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
by: Gao, Xin, et al.
Published: (2024)
by: Gao, Xin, et al.
Published: (2024)
Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power
by: Chen, Yuzhu, et al.
Published: (2025)
by: Chen, Yuzhu, et al.
Published: (2025)
Multi-Objective Quality-Diversity for Crystal Structure Prediction
by: Janmohamed, Hannah, et al.
Published: (2024)
by: Janmohamed, Hannah, et al.
Published: (2024)
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks
by: Mali, Ankur, et al.
Published: (2024)
by: Mali, Ankur, et al.
Published: (2024)
GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
by: Li, Xingyu
Published: (2026)
by: Li, Xingyu
Published: (2026)
An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction
by: Niu, Sihan, et al.
Published: (2024)
by: Niu, Sihan, et al.
Published: (2024)
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
by: Zhang, Yongbo, et al.
Published: (2024)
by: Zhang, Yongbo, et al.
Published: (2024)
Similar Items
-
Brain-inspired Computational Intelligence via Predictive Coding
by: Salvatori, Tommaso, et al.
Published: (2023) -
ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms
by: Goertzel, Ben
Published: (2025) -
Introduction to Predictive Coding Networks for Machine Learning
by: Stenlund, Mikko
Published: (2025) -
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling
by: Musto, Henry, et al.
Published: (2024) -
JPC: Flexible Inference for Predictive Coding Networks in JAX
by: Innocenti, Francesco, et al.
Published: (2024)