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Machine Learning

[D] Physicist-turned-ML-engineer looking to get into ML research. What's worth working on and where can I contribute most?

After years of focus on building products, I'm carving out time to do independent research again and trying to find the right direction. ...

Reddit - Machine Learning · 1 min ·
UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
PSA: Anyone with a link can view your Granola notes by default | The Verge
Machine Learning

PSA: Anyone with a link can view your Granola notes by default | The Verge

Granola, the AI-powered note-taking app, makes your notes viewable by anyone with a link by default. It also turns on AI training for any...

The Verge - AI · 5 min ·

All Content

[2603.25687] On Neural Scaling Laws for Weather Emulation through Continual Training
Llms

[2603.25687] On Neural Scaling Laws for Weather Emulation through Continual Training

Abstract page for arXiv paper 2603.25687: On Neural Scaling Laws for Weather Emulation through Continual Training

arXiv - Machine Learning · 4 min ·
[2603.25673] Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening
Machine Learning

[2603.25673] Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening

Abstract page for arXiv paper 2603.25673: Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening

arXiv - Machine Learning · 4 min ·
[2603.24857] AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective
Llms

[2603.24857] AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective

Abstract page for arXiv paper 2603.24857: AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective

arXiv - Machine Learning · 4 min ·
[2603.25635] Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments
Machine Learning

[2603.25635] Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments

Abstract page for arXiv paper 2603.25635: Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric...

arXiv - Machine Learning · 4 min ·
[2603.24846] NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders
Llms

[2603.24846] NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders

Abstract page for arXiv paper 2603.24846: NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Ne...

arXiv - Machine Learning · 4 min ·
[2603.25614] Social Hippocampus Memory Learning
Machine Learning

[2603.25614] Social Hippocampus Memory Learning

Abstract page for arXiv paper 2603.25614: Social Hippocampus Memory Learning

arXiv - Machine Learning · 3 min ·
[2603.25561] An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Biofuel-Relevant Biomass Production in Saccharomyces cerevisiae
Machine Learning

[2603.25561] An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Biofuel-Relevant Biomass Production in Saccharomyces cerevisiae

Abstract page for arXiv paper 2603.25561: An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting an...

arXiv - Machine Learning · 4 min ·
[2603.25562] Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
Llms

[2603.25562] Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Abstract page for arXiv paper 2603.25562: Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

arXiv - AI · 4 min ·
[2603.24821] Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
Machine Learning

[2603.24821] Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting

Abstract page for arXiv paper 2603.24821: Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Cou...

arXiv - AI · 4 min ·
[2603.24806] FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions
Machine Learning

[2603.24806] FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions

Abstract page for arXiv paper 2603.24806: FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions

arXiv - AI · 4 min ·
[2603.25495] Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
Machine Learning

[2603.25495] Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models

Abstract page for arXiv paper 2603.25495: Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-...

arXiv - AI · 4 min ·
[2603.24804] GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining
Llms

[2603.24804] GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining

Abstract page for arXiv paper 2603.24804: GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretra...

arXiv - Machine Learning · 4 min ·
[2603.25476] How Class Ontology and Data Scale Affect Audio Transfer Learning
Machine Learning

[2603.25476] How Class Ontology and Data Scale Affect Audio Transfer Learning

Abstract page for arXiv paper 2603.25476: How Class Ontology and Data Scale Affect Audio Transfer Learning

arXiv - Machine Learning · 3 min ·
[2603.25473] Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure
Machine Learning

[2603.25473] Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure

Abstract page for arXiv paper 2603.25473: Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure

arXiv - Machine Learning · 3 min ·
[2603.24801] Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis
Machine Learning

[2603.24801] Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis

Abstract page for arXiv paper 2603.24801: Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driv...

arXiv - Machine Learning · 4 min ·
[2603.24775] AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A
Machine Learning

[2603.24775] AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A

Abstract page for arXiv paper 2603.24775: AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A

arXiv - AI · 4 min ·
[2603.25469] Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models
Machine Learning

[2603.25469] Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models

Abstract page for arXiv paper 2603.25469: Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models

arXiv - Machine Learning · 3 min ·
[2603.24772] Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
Llms

[2603.24772] Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset

Abstract page for arXiv paper 2603.24772: Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Val...

arXiv - Machine Learning · 4 min ·
[2603.25464] Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning
Machine Learning

[2603.25464] Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning

Abstract page for arXiv paper 2603.25464: Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning

arXiv - AI · 4 min ·
[2603.25385] GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs
Llms

[2603.25385] GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

Abstract page for arXiv paper 2603.25385: GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

arXiv - AI · 4 min ·
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