The Archive

TabSurv adapts modern tabular neural networks to survival analysis using Weibull distributions and a novel histogram loss for censored data.

Gauge-invariant GNN architecture for Abelian lattice gauge theories using Wilson loop representations; application to condensed matter and quantum systems.

Study compares 2D spatiotemporal convolutions vs. concatenated 1D convolutions for EEG signal classification with CNNs.

Reproducibility study of neural retrievers on set-compositional queries; introduces LIMIT+ benchmark for constraint-satisfaction information retrieval.

OpenAI launches European Youth Safety Blueprint and EMEA grants program targeting teen AI safety and educator resources.

Unsupervised ML framework detects structural anomalies in European regional socio-economic statistics using Eurostat NUTS2 data.

Review of multi-fidelity surrogate modeling techniques for composite materials prediction combining low and high-fidelity simulation data.

Lindeberg principle derives Wasserstein distance bounds between infinite-width deep networks and Gaussian limits.

PIEGraph combines analytical physics with graph neural networks for data-efficient object dynamics learning in robotic manipulation of rigid and deformable bodies.

Fréchet-based random-effects algorithm for non-Euclidean data in metric spaces; extends mixed-effects models beyond Hilbert spaces.

ParaRNN: parallelizable RNN architecture combining autoregressive models with neural networks for interpretable time-series forecasting.

User demonstrates Claude's code generation and design-to-web capabilities via iterative prompting to build a skeumorphic keyboard simulator with public transcript.

SGAC approach uses learned selector model for autonomous curriculum in one-shot RLVR to improve LLM math reasoning over variance-based heuristics.

FedTGNN-SS: federated semi-supervised framework for gestational diabetes prediction using tabular EHR with privacy preservation and label scarcity handling.

Neural Decision-Propagation proposes differentiable stable model computation for neuro-symbolic AI, replacing classical ASP solvers to improve scalability.

Theoretical analysis of adversarial imitation learning under general function approximation bridges gap between AIL theory (tabular/linear) and neural network practice.

Reddit discussion critiquing ICML's 27% acceptance rate and review quality issues, raising concerns about paper triage cascading to NeurIPS.

DeepONet-based neural operator learns solution to 2D Helmholtz equation on non-parametric domains with arbitrary scatterer geometries using signed distance encoding.

Quantum interval bound propagation (QIBP) method adapts certified adversarial training from classical ML to quantum neural networks using bound tracking.

Combinatorial Complex Weisfeiler-Lehman test extending WL expressiveness framework to unified topological structures.

I read through 35+ Reddit threads of people actually building and running businesses with Claude — from local service agencies to solo SaaS founders. I distilled the best patterns, frameworks, and hard lessons into one…

Adaptive wavelet-based physics-informed neural networks address spectral bias and loss imbalance in PDE solving.

Neural network techniques are increasingly used in computer graphics to boost image quality, improve performance, and streamline content creation. Approaches... Neural network techniques are increasingly used in computer graphics to boost image quality, improve performance, and…

Hybrid neural-Kalman filtering improves UAV state estimation in degraded sensing by combining learned nonlinear dynamics with principled uncertainty quantification.

FiLMMeD applies feature-wise linear modulation for cross-problem generalization in multi-depot vehicle routing via neural combinatorial optimization.

Neuro-symbolic framework integrating first-order logic, causal models, and RL for explainable, verifiable adaptations in safety-critical rule-based systems.

PLOS and DataSeer use LLMs to measure research data reuse in scholarly publications, finding 43% reuse rate via AI-based detection.

TeCoD system improves Text-to-SQL accuracy via template-constrained decoding from query pattern reuse in labeled workloads.

Despite only having one face, I made testing work. I'm currently wearing a pair of smart glasses called the Even Realities G2. Another two pairs, from Rokid, sit on my desk. A few feet away, I've got the Meta Ray-Ban Display charging alongside their Neural Wristband. In my…

DPN-LE framework identifies minimally necessary neurons for LLM personality representation to reduce editing overhead and degradation.