Image de couverture de livre

Beating Transformers using Synthetic Cognition

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ibias, Alfredo, Rodriguez-Galindo, Miguel, Antona, Hector, Ramirez-Miranda, Guillem, Guinovart, Enric
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Knowledge Discovery using Unsupervised Cognition
par: Ibias, Alfredo, et autres
Publié: (2024)

Unsupervised Cognition
par: Ibias, Alfredo, et autres
Publié: (2024)

The Function-Representation Model of Computation
par: Ibias, Alfredo, et autres
Publié: (2024)

Reducing Diversity to Generate Hierarchical Archetypes
par: Ibias, Alfredo, et autres
Publié: (2024)

From Manifestations to Cognitive Architectures: a Scalable Framework
par: Ibias, Alfredo, et autres
Publié: (2024)

Optimisation Is Not What You Need
par: Ibias, Alfredo
Publié: (2025)

Improving Noise Robustness through Abstractions and its Impact on Machine Learning
par: Ibias, Alfredo, et autres
Publié: (2024)

Beat Tracking as Object Detection
par: Ahn, Jaehoon, et autres
Publié: (2025)

When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains
par: Yee, Brandon, et autres
Publié: (2026)

Secret mixtures of experts inside your LLM
par: Boix-Adsera, Enric
Publié: (2025)

On the inductive bias of infinite-depth ResNets and the bottleneck rank
par: Boix-Adsera, Enric
Publié: (2025)

Construct, Merge, Solve & Adapt with Reinforcement Learning for the min-max Multiple Traveling Salesman Problem
par: Rodríguez-Corominas, Guillem, et autres
Publié: (2026)

Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments
par: Dedieu, Antoine, et autres
Publié: (2024)

Random Is Hard to Beat: Active Selection in online DPO with Modern LLMs
par: Oh, Giyeong, et autres
Publié: (2026)

The power of fine-grained experts: Granularity boosts expressivity in Mixture of Experts
par: Boix-Adsera, Enric, et autres
Publié: (2025)

The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute
par: Sharma, Aman, et autres
Publié: (2025)

Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails
par: Jin, Ruinan, et autres
Publié: (2026)

Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning
par: Fujisawa, Yoshihiko, et autres
Publié: (2026)

Synthetic data in cryptocurrencies using generative models
par: Sousa, André Saimon S., et autres
Publié: (2026)

Continuous Diffusion Transformers for Designing Synthetic Regulatory Elements
par: Liu, Jonathan, et autres
Publié: (2026)

Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
par: Li, Dawei, et autres
Publié: (2025)

Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
par: Khona, Mikail, et autres
Publié: (2024)

Synthetic Audio Helps for Cognitive State Tasks
par: Soubki, Adil, et autres
Publié: (2025)

Dropout Robustness and Cognitive Profiling of Transformer Models via Stochastic Inference
par: Caiado, Antônio Junior Alves, et autres
Publié: (2026)

One-shot World Models Using a Transformer Trained on a Synthetic Prior
par: Ferreira, Fabio, et autres
Publié: (2024)

HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
par: Gupta, Shubham, et autres
Publié: (2026)

Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning
par: Wang, Yiping, et autres
Publié: (2024)

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
par: Pichat, Michael, et autres
Publié: (2025)

SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
par: Tang, Kexian, et autres
Publié: (2026)

Synthetic Datasets for Machine Learning on Spatio-Temporal Graphs using PDEs
par: Arndt, Jost, et autres
Publié: (2025)

Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks
par: Pan, Shuaiqun, et autres
Publié: (2025)

Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
par: Fuentes, Miguel, et autres
Publié: (2024)

TOAST: Transformer Optimization using Adaptive and Simple Transformations
par: Cannistraci, Irene, et autres
Publié: (2024)

Lean-ing on Quality: How High-Quality Data Beats Diverse Multilingual Data in AutoFormalization
par: Chan, Willy, et autres
Publié: (2025)

Self-Emotion-Mediated Exploration in Artificial Intelligence Mirrors: Findings from Cognitive Psychology
par: Assunção, Gustavo, et autres
Publié: (2023)

Towards a theory of model distillation
par: Boix-Adsera, Enric
Publié: (2024)

Accelerating the k-means++ Algorithm by Using Geometric Information
par: Corominas, Guillem Rodríguez, et autres
Publié: (2024)

Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers
par: Saxena, Krati, et autres
Publié: (2025)

Cognitive Insights Across Languages: Enhancing Multimodal Interview Analysis
par: Ortiz-Perez, David, et autres
Publié: (2024)

High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework
par: Masi, Giuseppe, et autres
Publié: (2026)