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[Paper] Fast Gaussian Process Approximations for Autocorrelated Data
This paper is concerned with the problem of how to speed up computation for Gaussian process models trained on autocorrelated data. The Gaussian process model i...
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[Paper] Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
Recent advances in reasoning techniques have substantially improved the performance of large language models (LLMs), raising expectations for their ability to p...
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[Paper] Model-Based Diagnosis with Multiple Observations: A Unified Approach for C Software and Boolean Circuits
Debugging is one of the most time-consuming and expensive tasks in software development and circuit design. Several formula-based fault localisation (FBFL) meth...
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Nevis: Bringing AI to Wealth Management
The post Nevis: Bringing AI to Wealth Management appeared first on Sequoia Capital....
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[Paper] OptPO: Optimal Rollout Allocation for Test-time Policy Optimization
Test-time policy optimization enables large language models (LLMs) to adapt to distribution shifts by leveraging feedback from self-generated rollouts. However,...
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[Paper] Empirical Assessment of the Perception of Software Product Line Engineering by an SME before Migrating its Code Base
Migrating a set of software variants into a software product line (SPL) is an expensive and potentially challenging endeavor. Indeed, SPL engineering can signif...
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The Great Equaliser
The corner shop that predicts your shopping habits better than Amazon. The local restaurant that automates its supply chain with the precision of McDonald's. Th...
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[Paper] IACT: A Self-Organizing Recursive Model for General AI Agents: A Technical White Paper on the Architecture Behind kragent.ai
This technical white paper introduces the Interactive Agents Call Tree (IACT), a computational model designed to address the limitations of static, hard-coded a...
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[Paper] PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
Large language models are increasingly embedded into academic writing workflows, yet existing assistants remain external to the editor, preventing deep interact...
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[Paper] The brain-AI convergence: Predictive and generative world models for general-purpose computation
Recent advances in general-purpose AI systems with attention-based transformers offer a potential window into how the neocortex and cerebellum, despite their re...
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⚠️ Data Leakage in Machine Learning
The Silent Accuracy Killer Ruining Real-World ML Systems Part 2 of the ML Engineering Failure Series Most machine learning beginners obsess over model select...
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Building AI Agents with Google Gemini 3 and Open Source Frameworks
The world of AI agents is rapidly evolving from simple chatbots to sophisticated, semi-autonomous systems that can make complex decisions in the real world. Thi...