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Machine Learning

Built an open-source runtime layer to stop AI agents before they overspend or take risky actions — looking for feedback

If you’re experimenting with AI agents, you’ve probably run into this problem: once an agent starts calling tools, APIs, models, email sy...

Reddit - Artificial Intelligence · 1 min ·
Llms

Claude mythos preview GameJam contestant

Claude was able to create this Indie Game Jam Challenge with simple user guided prompts in the Godong engine with Mythos Preview with Zer...

Reddit - Artificial Intelligence · 1 min ·
Llms

I implemented meta paper [P]

github link : genji970/Scaling-Test-Time-Compute-for-Agentic-Coding-: paper implementation of Meta Ai paper link : https://arxiv.org/abs/...

Reddit - Machine Learning · 1 min ·

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[2512.17051] SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples
Machine Learning

[2512.17051] SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples

Abstract page for arXiv paper 2512.17051: SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples

arXiv - Machine Learning · 3 min ·
[2512.14471] Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics
Machine Learning

[2512.14471] Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics

Abstract page for arXiv paper 2512.14471: Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics

arXiv - Machine Learning · 4 min ·
[2512.14190] Random-Bridges as Stochastic Transports for Generative Models
Machine Learning

[2512.14190] Random-Bridges as Stochastic Transports for Generative Models

Abstract page for arXiv paper 2512.14190: Random-Bridges as Stochastic Transports for Generative Models

arXiv - Machine Learning · 3 min ·
[2511.20944] Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection
Machine Learning

[2511.20944] Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection

Abstract page for arXiv paper 2511.20944: Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psych...

arXiv - Machine Learning · 4 min ·
[2512.09378] Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy
Machine Learning

[2512.09378] Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy

Abstract page for arXiv paper 2512.09378: Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy

arXiv - Machine Learning · 3 min ·
[2511.17378] A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
Machine Learning

[2511.17378] A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias

Abstract page for arXiv paper 2511.17378: A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity ...

arXiv - Machine Learning · 3 min ·
[2511.09216] Controllable protein design with particle-based Feynman-Kac steering
Machine Learning

[2511.09216] Controllable protein design with particle-based Feynman-Kac steering

Abstract page for arXiv paper 2511.09216: Controllable protein design with particle-based Feynman-Kac steering

arXiv - Machine Learning · 3 min ·
[2511.08887] FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis
Machine Learning

[2511.08887] FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis

Abstract page for arXiv paper 2511.08887: FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis

arXiv - AI · 4 min ·
[2510.26433] Co-Evolving Latent Action World Models
Machine Learning

[2510.26433] Co-Evolving Latent Action World Models

Abstract page for arXiv paper 2510.26433: Co-Evolving Latent Action World Models

arXiv - Machine Learning · 4 min ·
[2510.23448] An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning
Machine Learning

[2510.23448] An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning

Abstract page for arXiv paper 2510.23448: An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning

arXiv - Machine Learning · 3 min ·
[2510.22068] Deep Gaussian Processes for Functional Maps
Machine Learning

[2510.22068] Deep Gaussian Processes for Functional Maps

Abstract page for arXiv paper 2510.22068: Deep Gaussian Processes for Functional Maps

arXiv - Machine Learning · 3 min ·
[2510.18814] A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
Llms

[2510.18814] A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning

Abstract page for arXiv paper 2510.18814: A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning

arXiv - AI · 4 min ·
[2510.07985] Fewer Weights, More Problems: A Practical Attack on LLM Pruning
Llms

[2510.07985] Fewer Weights, More Problems: A Practical Attack on LLM Pruning

Abstract page for arXiv paper 2510.07985: Fewer Weights, More Problems: A Practical Attack on LLM Pruning

arXiv - AI · 4 min ·
[2509.26433] ACT: Agentic Classification Tree
Llms

[2509.26433] ACT: Agentic Classification Tree

Abstract page for arXiv paper 2509.26433: ACT: Agentic Classification Tree

arXiv - AI · 3 min ·
[2509.20349] Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing
Machine Learning

[2509.20349] Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing

Abstract page for arXiv paper 2509.20349: Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing

arXiv - Machine Learning · 3 min ·
[2509.12981] Causal Discovery via Quantile Partial Effect
Machine Learning

[2509.12981] Causal Discovery via Quantile Partial Effect

Abstract page for arXiv paper 2509.12981: Causal Discovery via Quantile Partial Effect

arXiv - Machine Learning · 4 min ·
[2509.09926] LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Llms

[2509.09926] LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios

Abstract page for arXiv paper 2509.09926: LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Sc...

arXiv - Machine Learning · 4 min ·
[2509.03758] A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
Machine Learning

[2509.03758] A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations

Abstract page for arXiv paper 2509.03758: A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tess...

arXiv - Machine Learning · 4 min ·
[2509.02892] Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
Machine Learning

[2509.02892] Improving Generative Methods for Causal Evaluation via Simulation-Based Inference

Abstract page for arXiv paper 2509.02892: Improving Generative Methods for Causal Evaluation via Simulation-Based Inference

arXiv - Machine Learning · 4 min ·
[2509.00203] Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
Machine Learning

[2509.00203] Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements

Abstract page for arXiv paper 2509.00203: Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements

arXiv - Machine Learning · 4 min ·
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