📈 Statistical Learning - gautam6599123

🤖AI Code

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An Effective Router for Vision-Language Model Selection

🗣️Large Language Models Academic

arxiv.org·

Digital Quantum Reservoir Computing for ATM Time Series Prediction

⏱️Time Series Analysis Academic

arxiv.org·

One Stone, Three Birds: Self-adaptive Optimal Transport for Multi-VLM Selection, Adaptation, and Ensembling

📊Optimization Academic

arxiv.org·

Less-relevant results

fabioconcina/claumon: Claude Code dashboard — minimal, fast, single binary

📈Data Visualization Code

github.com··Hacker News

The Identity Trap in EEG Foundation Models: A Diagnostic Audit

📊Data Science Academic

arxiv.org·

Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations

🧠Deep Learning Academic

arxiv.org·

Introducing multiplex semantic networks as multifaceted representations of creative associative knowledge across multilingual samples

🗣️Large Language Models Academic

arxiv.org·

Early Detection of Alzheimer's Disease Using Explainable Machine Learning on Clinical Biomarkers: A Multi-Class Classification Study Using the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset

📊Optimization Academic

arxiv.org·

When Does Structure Help? The Information Bonus of AlphaFold2 Representations over Protein Language Models

🗣️Large Language Models Academic

arxiv.org·

From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing

🗣️Large Language Models Academic

arxiv.org·

GITCO: Gated Inference-Time Context Optimization in TSFMs

🗣️Large Language Models Academic

arxiv.org·

MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights

🗣️Large Language Models Academic

arxiv.org·

SC-MFJ: A Simple Haptic Quality Metric for Medical Image Segmentation

🔥PyTorch Academic

arxiv.org·

GD-MIL: Grade-Disentangled Multiple Instance Learning for Multimodal Biochemical Recurrence Prediction in Prostate Cancer

📊Data Science Academic

arxiv.org·

FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting

⏱️Time Series Analysis Academic

arxiv.org·

An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization

🧠Deep Learning Academic

arxiv.org·

Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules

📊Data Science Academic

arxiv.org·

IR3DE: A Linear Router for Large Language Models

🗣️Large Language Models Academic

arxiv.org·

Evaluating Operators for Acoustic Wave Simulation Correction

Show HN: Nanocode-CLI – A lightweight terminal-based AI coding assistant

An Effective Router for Vision-Language Model Selection

Digital Quantum Reservoir Computing for ATM Time Series Prediction

One Stone, Three Birds: Self-adaptive Optimal Transport for Multi-VLM Selection, Adaptation, and Ensembling

fabioconcina/claumon: Claude Code dashboard — minimal, fast, single binary

The Identity Trap in EEG Foundation Models: A Diagnostic Audit

Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations

Introducing multiplex semantic networks as multifaceted representations of creative associative knowledge across multilingual samples

Early Detection of Alzheimer's Disease Using Explainable Machine Learning on Clinical Biomarkers: A Multi-Class Classification Study Using the Alzheimer's Disease Neuroimaging Initiative (ADNI) Dataset

When Does Structure Help? The Information Bonus of AlphaFold2 Representations over Protein Language Models

From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing

GITCO: Gated Inference-Time Context Optimization in TSFMs

MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights

SC-MFJ: A Simple Haptic Quality Metric for Medical Image Segmentation

GD-MIL: Grade-Disentangled Multiple Instance Learning for Multimodal Biochemical Recurrence Prediction in Prostate Cancer

FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting

An Empirical Study of Data Scale, Model Complexity, and Input Modalities in Visual Generalization

Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules

IR3DE: A Linear Router for Large Language Models