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Machine Learning

[P] Unix philosophy for ML pipelines: modular, swappable stages with typed contracts

We built an open-source prototype that applies Unix philosophy to retrieval pipelines. Each stage (PII redaction, chunking, dedup, embedd...

Reddit - Machine Learning · 1 min ·
Machine Learning

Making an AI native sovereign computational stack

I’ve been working on a personal project that ended up becoming a kind of full computing stack: identity / trust protocol decentralized ch...

Reddit - Artificial Intelligence · 1 min ·
Llms

An attack class that passes every current LLM filter - no payload, no injection signature, no log trace

https://shapingrooms.com/research I published a paper today on something I've been calling postural manipulation. The short version: ordi...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.24828] A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study
Machine Learning

[2603.24828] A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study

Abstract page for arXiv paper 2603.24828: A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproduci...

arXiv - AI · 4 min ·
[2603.25415] Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation
Machine Learning

[2603.25415] Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation

Abstract page for arXiv paper 2603.25415: Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation

arXiv - AI · 4 min ·
[2603.24790] Local learning for stable backpropagation-free neural network training towards physical learning
Machine Learning

[2603.24790] Local learning for stable backpropagation-free neural network training towards physical learning

Abstract page for arXiv paper 2603.24790: Local learning for stable backpropagation-free neural network training towards physical learning

arXiv - Machine Learning · 3 min ·
[2603.25498] EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents
Llms

[2603.25498] EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

Abstract page for arXiv paper 2603.25498: EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

arXiv - AI · 3 min ·
[2603.24780] Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
Llms

[2603.24780] Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback

Abstract page for arXiv paper 2603.24780: Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback

arXiv - Machine Learning · 4 min ·
[2603.25480] Retraining as Approximate Bayesian Inference
Machine Learning

[2603.25480] Retraining as Approximate Bayesian Inference

Abstract page for arXiv paper 2603.25480: Retraining as Approximate Bayesian Inference

arXiv - AI · 3 min ·
[2603.24753] Light Cones For Vision: Simple Causal Priors For Visual Hierarchy
Machine Learning

[2603.24753] Light Cones For Vision: Simple Causal Priors For Visual Hierarchy

Abstract page for arXiv paper 2603.24753: Light Cones For Vision: Simple Causal Priors For Visual Hierarchy

arXiv - Machine Learning · 3 min ·
[2603.25450] Cross-Model Disagreement as a Label-Free Correctness Signal
Llms

[2603.25450] Cross-Model Disagreement as a Label-Free Correctness Signal

Abstract page for arXiv paper 2603.25450: Cross-Model Disagreement as a Label-Free Correctness Signal

arXiv - AI · 4 min ·
[2603.24744] Contrastive Learning Boosts Deterministic and Generative Models for Weather Data
Machine Learning

[2603.24744] Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

Abstract page for arXiv paper 2603.24744: Contrastive Learning Boosts Deterministic and Generative Models for Weather Data

arXiv - Machine Learning · 4 min ·
[2603.25412] Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
Llms

[2603.25412] Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

Abstract page for arXiv paper 2603.25412: Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

arXiv - AI · 4 min ·
[2603.25379] Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting
Machine Learning

[2603.25379] Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study of 5W3H Prompting

Abstract page for arXiv paper 2603.25379: Does Structured Intent Representation Generalize? A Cross-Language, Cross-Model Empirical Study...

arXiv - AI · 4 min ·
[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
Llms

[2603.24709] Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards

Abstract page for arXiv paper 2603.24709: Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated R...

arXiv - Machine Learning · 4 min ·
[2603.25356] 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles
Machine Learning

[2603.25356] 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles

Abstract page for arXiv paper 2603.25356: 4OPS: Structural Difficulty Modeling in Integer Arithmetic Puzzles

arXiv - AI · 4 min ·
[2603.24695] Amplified Patch-Level Differential Privacy for Free via Random Cropping
Machine Learning

[2603.24695] Amplified Patch-Level Differential Privacy for Free via Random Cropping

Abstract page for arXiv paper 2603.24695: Amplified Patch-Level Differential Privacy for Free via Random Cropping

arXiv - Machine Learning · 4 min ·
[2603.25334] Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks
Machine Learning

[2603.25334] Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

Abstract page for arXiv paper 2603.25334: Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous ...

arXiv - Machine Learning · 4 min ·
[2603.24648] Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation
Machine Learning

[2603.24648] Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation

Abstract page for arXiv paper 2603.24648: Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things...

arXiv - Machine Learning · 4 min ·
[2603.24641] Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
Machine Learning

[2603.24641] Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

Abstract page for arXiv paper 2603.24641: Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks

arXiv - Machine Learning · 3 min ·
[2603.25328] Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles
Machine Learning

[2603.25328] Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automated and Human-Driven Vehicles

Abstract page for arXiv paper 2603.25328: Macroscopic Characteristics of Mixed Traffic Flow with Deep Reinforcement Learning Based Automa...

arXiv - AI · 4 min ·
[2603.24647] Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
Llms

[2603.24647] Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

Abstract page for arXiv paper 2603.24647: Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch

arXiv - Machine Learning · 4 min ·
[2603.25326] Evaluating Language Models for Harmful Manipulation
Llms

[2603.25326] Evaluating Language Models for Harmful Manipulation

Abstract page for arXiv paper 2603.25326: Evaluating Language Models for Harmful Manipulation

arXiv - AI · 4 min ·
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Related Topics

Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI AI Safety & Ethics

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