The Archive

Input symmetries in stimulus space confound representational similarity analysis of neural network codes.

Federated learning with distributed neural architecture search addresses data heterogeneity and device constraints.

Framework for uncertainty-aware XAI via Bayesian neural networks and explanation distributions; application to power quality classification.

EEG microstate clustering for universal brain signal representation learning in BCIs; neuroinformatics application.

Framework evaluates model-brain alignment by identifying which response dimensions in visual cortex are recovered by neural networks.

k-inductive neural barrier certificates for safety verification of partially unknown nonlinear dynamical systems.

Neurosymbolic framework combining formal argumentation with LLM training for explainable ternary claim verification.

Error analysis reveals sequence-to-sequence models struggle with Japanese morphological inflection when orthographic properties affect morphophonological distinctions.

Probabilistic framework applies Bayesian optimization to learning rate selection in SGD, addressing hyperparameter tuning for neural networks.

Survey of GNN architectures for community detection in graphs, reviewing clustering performance on large high-dimensional networks.

Pseudocode-guided structured reasoning framework reducing hallucinations in vision-language models for robotic automation.

Physics-informed GNN surrogate (ELGIN) predicts nanoparticle dispersion in dental aerosol environments faster than RANS simulation.

The concept: you get a cold denial letter from an AI system - airline cancelled your flight, insurance rejected your claim, bank won't refund fraud - and you have to argue back until the bot's resistance hits zero. The bots don't fold unless you cite the right law. EU261, RBI…

SkillGenBench isolates skill generation as a benchmark task for LLM agents, measuring ability to create reusable executable skills from repositories.

Position paper proposes treating neural network checkpoints as a first-class generative modality for on-demand weight synthesis.

PACE-FNO uses Lie-algebra symmetries to improve neural operator generalization on PDE solution maps.

Pointwise Riemannian Dimension framework characterizes deep network generalization via learned feature representation geometry.

Integrates conformal prediction with neuro-symbolic concept models to quantify prediction confidence and improve trustworthiness.

PIPER uses LLM-generated pseudoqueries and profiling for content-based table search across data lakes.

Dual-Rate Diffusion accelerates inference by interleaving sparse heavy context encoder with light denoising model for efficient feature reuse.

Theoretical analysis of canonical regularisation in wide feature-learning neural networks, extending kernel regime NN-GP correspondence insights.

FOL2NS neurosymbolic framework generates natural language from first-order logic formulas with deep nesting and varying quantifier depths.

Parameterized 4-qubit quantum game circuits for innovation recommender systems using Horizon Europe funding data.

Link: theparliamentmagazine.eu

User reports Claude generated French slang in casual interaction; anecdotal observation of model behavior.

Reddit post alleges Kevin Zhu's Algoverse AI Research program misleads high school students into paid academic misconduct via fabricated NeurIPS publications.

OpenAI's latest shakeup comes as the company reportedly plans to combine ChatGPT and its programming product Codex.

IVGT learns implicit 3D scene geometry from multi-view images using continuous neural representations and transformers.

Graph neural network predicts magnetic crystal structures from atomic coordinates; domain-specific materials science application unrelated to frontier AI systems.

Greg Brockman assumes control of OpenAI's product division in internal leadership restructure.