Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Mine, Sample, Render: Test-Time Diversity Alignment Of Generative Models

Modern generative models produce high-quality individual outputs but struggle to sample diversely, e...

(1)
Beyond Pairwise Repulsion: Collective Diversity via Determinant Maximization in Diffusion Sampling

Strong guidance in text-to-image (T2I) diffusion models concentrates sampling toward high-density mo...

(3)
NavAble: A Large-Scale Dataset and Synthetic Data Generation Pipeline for Blind Navigation

Reliable recognition of accessibility-critical objects (e.g., audible pedestrian signals, door-activ...

DNA methylation-based prediction of differentiation state at cell-type resolution reveals an age-associated epigenetic mesenchymal drift

Quantifying the differentiation state of cells is an important task in regenerative medicine, cellul...

(4)
DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models

Online reinforcement learning (RL) fine-tunes diffusion models with black-box rewards, but reverse-p...

(2)
Genotype-dependent behavioral signatures of opioid withdrawal revealed by automated behavioral quantification

Opioid withdrawal drives continued opioid use in opioid use disorder (OUD), which affected an estima...

Evolutionary One-Step Generators: Fast and Diverse Sampling for Discrete Design

Several discrete design tasks, such as molecular discovery, require diverse collections of useful ca...

Hamiltonian Metric Learning and Energy-Based Training: A Dissipative Geometric Framework for Optimization

Optimization in machine learning is usually expressed through iterative rules that update model para...

Revisiting Cross-Reconstruction for Generalizable Deepfake Detection

Existing image forgery detectors often suffer from generalization to unseen manipulation methods due...

The hidden advantage of mask resampling: a theory of masked autoencoders

Why can masked prediction learn useful representations that unmasked reconstruction misses? We study...

Debias Anything: Fairness with Diversity without Supervision in Diffusion Models

Although diffusion models produce high-quality images, they also reproduce and amplify demographic i...

Cellular and Network Effects of Introducing Connexin-36 Expression in an Uncoupled Neuronal Population in the Mouse Hypothalamus

Electrical synapses are prevalent throughout nervous systems, including the mammalian brain. Several...

DSPO: Diversity-aware Subjective Policy Optimization for Robust Emotional Reasoning

Reinforcement Learning has significantly advanced the complex reasoning capabilities of MLLMs. Howev...

Correct, Don't Delete: Mitigating Emergent Misalignment with Corrective Supervision

Fine-tuning a language model on a narrow set of harmful demonstrations, such as bad medical advice, ...

Satellite-gene abundance fusion reveals global hotspots of ocean ecosystem services

The Ocean sustains planetary health through climate regulation, biodiversity, and essential ecosyste...

Language Specificity vs. Domain Diversity: Benchmarking Transformers for Bangla Medical NER

Medical Named Entity Recognition (NER) for low-resource languages remains a challenging task due to ...

OPDiv: Optimal Selection of Top-K High-Scoring, Diverse Compounds

A virtual screening campaign may produce thousands of promising candidates, but only a small number ...

From Offline Proxies to Online Decisions: A Layered Engagement Evaluation Framework for Conversational AI

Online A/B experiments are the decision standard for user engagement, but traffic and readout time l...

Self-Replicating Neural Cellular Automata: Quantifying Emergent Phenotypic and Genotypic Diversity in an OpenEnded Substrate

We study an in-silico substrate in which every pixel of a two-channel cellular-automata grid carries...

INSPECT: Learning Robot View Selection from Assistant Use

Robots inspecting an assembly must determine which parts are present and whether they are correctly ...

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