On Halting vs Converging in Recurrent Graph Neural Networks
Theoretical analysis of expressiveness tradeoffs between converging, output-converging, and halting variants of Recurrent Graph Neural Networks.
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Theoretical analysis of expressiveness tradeoffs between converging, output-converging, and halting variants of Recurrent Graph Neural Networks.
Neuro-symbolic PPO extension transfers logical policy specs from easier tasks to improve sample efficiency in sparse-reward RL.
After a yearslong legal feud, Elon Musk and OpenAI CEO Sam Altman are heading to trial this week in Northern California in a case that could have sweeping consequences. Ahead of OpenAI’s highly anticipated IPO, the court could rule on whether the company is allowed to exist as…
Gemini gets preferential treatment on Android, but maybe not for long (in Europe).
Mathematical formulation of convolutional neural networks via presheaves/copresheaves on topological spaces to analyze architectural limitations.
NeSyCat: categorical semantics framework unifying classical, fuzzy, and probabilistic interpretations of ULLER neurosymbolic language via monad theory.
Graph neural networks detect cryptocurrency fraud by modeling spatio-temporal transaction patterns across related assets.
DenSNet uses equivariant neural networks to predict electron density for molecular dynamics; materials science application.
Subscribed to Claude 20 Max two days ago (more than 200 euros/month...). Service was more than underwhelming, so I immediately requested refund after one day and a half and therefore within the 14-day withdrawal period guaranteed by Article L221-18 of the French Code de la…
I did a deep dive on Claude Design and below are my thoughts. What it does extremely well: * **Improves your prompt** \- similar to "ask me questions" when chatting to an LLM. Can make the difference between slop and actually useful. * **Invokes agent skills for you** \- a…
Score-based Variational Flow provides continuous-time theoretical foundation for Transformers via Euler discretization and attention recovery.
Quasi-equivariant metanetworks account for functional symmetries in parameter space to improve neural architecture design for weight-based downstream tasks.
Accurate modeling of human mobility is critical for tackling urban planning and public health challenges. In undeveloped regions, the absence of comprehensive travel surveys necessitates reconstructing mobility networks from publicly available data. Here we develop…
Amateur mathematician solved 60-year open problem using AI assistance, demonstrating frontier model capability on novel mathematical reasoning.
Reddit discussion on model selection heuristics for Claude Code tasks across Opus/Sonnet/Haiku tiers.
First Romanian Grammatical Error Correction corpus (10k sentences) with adapted ERRANT toolkit and neural baselines for low-resource settings.
FinGround detects computational and citation hallucinations in financial LLM systems via atomic claim verification before EU AI Act enforcement (Aug 2026).
CyberCane neuro-symbolic framework detects phishing while preserving privacy through formal ontology reasoning instead of external API calls.
NoTorch: minimal C library for neural network training/inference without PyTorch dependencies, demonstrated on nanoGPT port.
NYU nursing student built 660K-page drug database using Claude Haiku for pharmaceutical reference aggregation.
Training regularizers improve MILP embedding properties of neural network surrogates via relaxation-informed objectives.
BantuMorph transformer recovers 728 noun and 1,525 verb cognate candidates in Bantu languages via encoder embeddings.
WG-SRC: white-box signal-subspace probe for interpretable graph neural network diagnosis and node classification.
WassersteinGrad method explains neural network predictions in weather forecasting via gradient-based feature attribution for high-dimensional inputs.
Surprise! StrictlyVC San Francisco, which will kick off this year’s events lineup for TechCrunch on April 30 at the Sentro Filipino Cultural Center, is getting a new addition to its increasingly stacked lineup of speakers. Uber CTO Praveen Neppalli Naga will join the rest of…
SpectralFed and SpectralFuse use gradient von Neumann entropy for privacy-preserving client contribution estimation in federated learning.
Two-stage contrastive semantic projection method sharpens neuron-level interpretability labels in deep networks using contrastive examples.
russellromney/honker adds Postgres NOTIFY/LISTEN and Kafka-style queue semantics to SQLite via Rust extension.
Latent Space podcast covers AIE Europe conference insights and Agent Labs thesis on unsupervised learning and agent development trends for 2026.
Framework quantifies acceptable risk thresholds for high-risk AI systems under EU AI Act, NIST, and Council of Europe regulations.