GlucoFM: Foundation model for continuous glucose monitoring
Health & Bioscience
Daily edition · AI Research
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TILens turns technical updates into a focused daily brief: official releases, trusted reporting, and practitioner analysis, deduplicated and organized by topic.
How Does a RAG Reranker Really Work?
Enterprise Document Intelligence [Vol.1 #2D] - What data scientists say when asked, what the model actually does under the hood, and why the honest answer changes your architecture decisions in enterprise RAG The post…
How to Effectively Solve 100+ Tasks with Claude Code
Work more effectively with your coding agents The post How to Effectively Solve 100+ Tasks with Claude Code appeared first on Towards Data Science.
Why Random Forest Needs to Be This Random
Bagging hits a wall no amount of trees can break — here's the equation that explains why, and the experiment that proves it The post Why Random Forest Needs to Be This Random appeared first on Towards Data Science.
Is Agentic AI Just Automation?
Why most agents are just flowcharts in disguise, and what to build instead. The post Is Agentic AI Just Automation? appeared first on Towards Data Science.
CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution
arXiv:2511.01870v3 Announce Type: replace-cross Abstract: Studying the cellular architecture of the human cerebral cortex is essential for understanding how the brain is organized from the micro to the macro level, and…
The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning
arXiv:2608.12695v2 Announce Type: replace Abstract: Self-supervised electrocardiogram (ECG) models are often trained on a few seconds of ECG signal and, increasingly, on discretized token sequences. It remains unclear…
XP-JEPA: Cross-Predictive Physics Grounding for Forecastable Latent Dynamics
arXiv:2608.24044v1 Announce Type: new Abstract: Latent world models plan by predicting how candidate actions transform learned representations. In self-predictive models, however, the encoder and predictor are optimized…
CoDrift: Compositional Drifting for Offline Reinforcement Learning
arXiv:2608.23939v1 Announce Type: new Abstract: Offline reinforcement learning is intrinsically multi-objective: a policy must remain compatible with the behavioral support of a fixed dataset while preferentially…
$\texttt{findr}$: Transparent and Fair Credit Risk Decisions through Semi-Structured Regressions
arXiv:2608.24582v1 Announce Type: cross Abstract: Credit risk models increasingly need to combine predictive accuracy with transparent explanations and auditable fairness constraints. Logistic regression remains…
Constrained Hyperparameter Optimization for Streaming Data
arXiv:2608.24712v1 Announce Type: new Abstract: Optimization of hyperparameters is a critical factor to obtain optimal model performance. While existing research has predominantly concentrated on batch-learning…
Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking
arXiv:2608.23879v1 Announce Type: cross Abstract: Cardiac cine-MRI serves as a direct visual indicator of cardiovascular hemodynamics by capturing the continuous wall motion of the aorta. Quantifying these dynamic…
Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery
arXiv:2608.24756v1 Announce Type: cross Abstract: Seagrass meadows are crucial blue-carbon habitats, and mapping their extent is a prerequisite for coastal management and carbon inventory. Optical satellite sensors…
Calibration-Preserving Pruning: Compression as a Reliability Contract
arXiv:2608.23744v1 Announce Type: new Abstract: Split conformal prediction, not the pruning rule, supplies finite-sample marginal coverage once a pruned model is fixed independently of the conformal calibration split.…
A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs
arXiv:2506.20073v3 Announce Type: replace-cross Abstract: Spatio-temporal data mining plays a pivotal role in informed decision making across diverse domains. However, existing models are often restricted to narrow…
An Algebraic View of the Expressivity of Recurrent Language Models
arXiv:2606.01765v3 Announce Type: replace-cross Abstract: What formal languages can a recurrent neural language model recognize? Formal results in the literature conflict: some authors report Turing-completeness, while…
Lightweight Adaptive Feature Composition for Heterogeneous Downstream Adaptation of Wireless Foundation Models
arXiv:2606.10277v2 Announce Type: replace Abstract: Mobile systems increasingly rely on heterogeneous learning-enabled wireless functions, for which separate taskspecific models incur redundant training and…
Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
arXiv:2411.12965v3 Announce Type: replace-cross Abstract: Nearest neighbor (NN) algorithms have been extensively used for missing data problems in recommender systems and sequential decision-making systems. Prior…
Application of machine learning to monster level prediction in tabletop RPG game design
arXiv:2607.09196v3 Announce Type: replace Abstract: Designing balanced adversaries is a central but labor-intensive task in tabletop role-playing game (TTRPG) development. In systems such as Pathfinder, each monster is…
Beyond Static Interpretability: Anticipating Post-SFT Mechanisms from Pre-SFT Parameters for Better Tuning
arXiv:2608.24482v1 Announce Type: new Abstract: Mechanistic Localization bridges mechanistic interpretability and post-training optimization by isolating critical parameters via interpretative approaches and then…
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