Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
Primer on susceptibilities and linear response theory for interpreting neural network posteriors via Bayesian influence functions.
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Primer on susceptibilities and linear response theory for interpreting neural network posteriors via Bayesian influence functions.
Reddit discussion requesting comparative analysis of fragmented agent APIs and frameworks; community crowdsourcing of implementation experience.
Study of aleatoric uncertainty limits in ML-driven resource allocation for policy and humanitarian applications under irreducible individual vulnerability variance.
Federated LLM fine-tuning framework with real-time user feedback and advantage-weighted self-play without privileged ground-truth contexts.
Amortized neural posterior estimation strategy decoupling inference to enable scaling to large observation sets beyond training memory constraints.
Discrete Voxel Diffusion framework for sparse 3D voxel generation and editing with native discrete treatment avoiding continuous thresholding.
Susceptibility estimators for singular statistical models with consistency and asymptotic unbiasedness proofs in large-sample regime.
As part of an earnings presentation on Friday, Sony shared how it's thinking about AI at the company, including many details about how it's evaluating AI as part of making PlayStation games. Generative AI has recently been showing up in bigger games - though many indie…
Information-theoretic analysis explaining why diffusion models converge efficiently on high-dimensional data via entropy-based bounds.
Bayes-assisted confidence sequence framework using predictive models for adaptive time-uniform uncertainty quantification of bounded means.
Experimental study of cross-conformal e-prediction aggregation methods maintaining validity without sacrificing computational efficiency.
Reddit user complains about OpenAI website dark mode contrast change; solicits community feedback.
FLAM framework for computing aggregatable evaluation metrics in federated learning to reconcile local and global performance assessment.
Defends federated LLM fine-tuning against model poisoning via graph-based anomaly detection in aggregated updates.
Proves convergence guarantees for stochastic training of Transformer attention layers with LoRA parameterization.
QEMU GPU passthrough on macOS enables CUDA inference for LLMs on Apple Silicon via Linux VM, with benchmarks.
Proposes contrast-agnostic CNN for MS lesion segmentation across cross-sectional and longitudinal MRI inputs.
Analyzes Slowly Annealed Langevin Dynamics for training-free guided generation with score-based models.
Proposes quantum-inspired evolutionary optimization framework for non-convex ML problems with outliers.
Releases TAVIS benchmark suite for egocentric active vision in imitation learning with 8 tasks across manipulation scenarios.
Anecdotal report of Claude Opus 4.7 refusing Hantavirus queries with account access concerns.
Proposes prototype-guided fine-tuning for single-cell gene expression models to handle distribution shift.
Measures optimal timing for clarification requests in long-horizon agent execution via injection framework across 4 dimensions.
Verification-first pipeline using TLA+ model checker to synthesize and repair multi-agent coordination protocols from LLM outputs.
Joint training framework for latent diffusion language models combining encoder, diffusion, decoder with pretrained LM backbone.
An agentic exchange must preserve a structured interaction: assistant turns interleave reasoning with one or more tool calls, and subsequent user turns return... An agentic exchange must preserve a structured interaction: assistant turns interleave reasoning with one or more…
Ring 2.6 1T, open-weights model, now available on Open Router; full weights release pending.
Community sentiment piece on DGX Spark hardware limitations and developer adoption within local LLM ecosystem.
Everyone wants a piece of the enterprise AI pie, and this week, we saw a string of companies making their moves. From Anthropic and OpenAI announcing new joint ventures targeting enterprise AI deployment to SAP dropping $1B on German AI startup Prior Labs, it’s becoming clear…