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[P] fastrad: GPU-native radiomics library — 25× faster than PyRadiomics, 100% IBSI-compliant, all 8 feature classes

PyRadiomics is the de facto standard for radiomic feature extraction, but it's CPU-only and takes ~3 seconds per scan. At scale, that's a...

Reddit - Machine Learning · 1 min ·
Llms

World models will be the next big thing, bye-bye LLMs

Was at Nvidia's GTC conference recently and honestly, it was one of the most eye-opening events I've attended in a while. There was a lot...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

What tools are sr MLEs using? (clawdbot, openspec, wispr) [D]

I'm already blasting cursor, but I want to level up my output. I heard that these kind of AI tools and workflows are being asked in SF. W...

Reddit - Machine Learning · 1 min ·

All Content

[2512.20760] Generalization of RLVR Using Causal Reasoning as a Testbed
Llms

[2512.20760] Generalization of RLVR Using Causal Reasoning as a Testbed

Abstract page for arXiv paper 2512.20760: Generalization of RLVR Using Causal Reasoning as a Testbed

arXiv - AI · 4 min ·
[2504.07109] OSCAR: Online Soft Compression And Reranking
Llms

[2504.07109] OSCAR: Online Soft Compression And Reranking

Abstract page for arXiv paper 2504.07109: OSCAR: Online Soft Compression And Reranking

arXiv - AI · 3 min ·
[2510.15202] A Geometry-Based View of Mahalanobis OOD Detection
Machine Learning

[2510.15202] A Geometry-Based View of Mahalanobis OOD Detection

Abstract page for arXiv paper 2510.15202: A Geometry-Based View of Mahalanobis OOD Detection

arXiv - Machine Learning · 4 min ·
[2509.23405] Planner Aware Path Learning in Diffusion Language Models Training
Llms

[2509.23405] Planner Aware Path Learning in Diffusion Language Models Training

Abstract page for arXiv paper 2509.23405: Planner Aware Path Learning in Diffusion Language Models Training

arXiv - Machine Learning · 4 min ·
[2509.21465] Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data
Llms

[2509.21465] Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data

Abstract page for arXiv paper 2509.21465: Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data

arXiv - Machine Learning · 4 min ·
[2509.19084] Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks
Machine Learning

[2509.19084] Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks

Abstract page for arXiv paper 2509.19084: Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph ...

arXiv - AI · 3 min ·
[2509.17874] Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models
Llms

[2509.17874] Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models

Abstract page for arXiv paper 2509.17874: Deep Hierarchical Learning with Nested Subspace Networks for Large Language Models

arXiv - Machine Learning · 4 min ·
[2506.05937] Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
Machine Learning

[2506.05937] Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning

Abstract page for arXiv paper 2506.05937: Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning

arXiv - AI · 3 min ·
[2511.05854] Can a Small Model Learn to Look Before It Leaps? Dynamic Learning and Proactive Correction for Hallucination Detection
Llms

[2511.05854] Can a Small Model Learn to Look Before It Leaps? Dynamic Learning and Proactive Correction for Hallucination Detection

Abstract page for arXiv paper 2511.05854: Can a Small Model Learn to Look Before It Leaps? Dynamic Learning and Proactive Correction for ...

arXiv - AI · 4 min ·
[2510.26905] Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations
Llms

[2510.26905] Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations

Abstract page for arXiv paper 2510.26905: Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations

arXiv - AI · 4 min ·
[2505.02888] When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger
Llms

[2505.02888] When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger

Abstract page for arXiv paper 2505.02888: When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI Trigger

arXiv - AI · 3 min ·
[2507.15796] From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0
Llms

[2507.15796] From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0

Abstract page for arXiv paper 2507.15796: From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Lea...

arXiv - AI · 4 min ·
[2403.10889] List Sample Compression and Uniform Convergence
Ai Infrastructure

[2403.10889] List Sample Compression and Uniform Convergence

Abstract page for arXiv paper 2403.10889: List Sample Compression and Uniform Convergence

arXiv - Machine Learning · 4 min ·
[2603.04392] SELDON: Supernova Explosions Learned by Deep ODE Networks
Machine Learning

[2603.04392] SELDON: Supernova Explosions Learned by Deep ODE Networks

Abstract page for arXiv paper 2603.04392: SELDON: Supernova Explosions Learned by Deep ODE Networks

arXiv - Machine Learning · 4 min ·
[2603.04366] Low-Resource Guidance for Controllable Latent Audio Diffusion
Machine Learning

[2603.04366] Low-Resource Guidance for Controllable Latent Audio Diffusion

Abstract page for arXiv paper 2603.04366: Low-Resource Guidance for Controllable Latent Audio Diffusion

arXiv - AI · 3 min ·
[2603.04257] Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory
Llms

[2603.04257] Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

Abstract page for arXiv paper 2603.04257: Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

arXiv - Machine Learning · 4 min ·
[2603.04122] FastWave: Optimized Diffusion Model for Audio Super-Resolution
Machine Learning

[2603.04122] FastWave: Optimized Diffusion Model for Audio Super-Resolution

Abstract page for arXiv paper 2603.04122: FastWave: Optimized Diffusion Model for Audio Super-Resolution

arXiv - Machine Learning · 3 min ·
[2603.04177] CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
Llms

[2603.04177] CodeTaste: Can LLMs Generate Human-Level Code Refactorings?

Abstract page for arXiv paper 2603.04177: CodeTaste: Can LLMs Generate Human-Level Code Refactorings?

arXiv - AI · 3 min ·
[2603.04069] Monitoring Emergent Reward Hacking During Generation via Internal Activations
Llms

[2603.04069] Monitoring Emergent Reward Hacking During Generation via Internal Activations

Abstract page for arXiv paper 2603.04069: Monitoring Emergent Reward Hacking During Generation via Internal Activations

arXiv - AI · 4 min ·
[2603.03792] TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration
Machine Learning

[2603.03792] TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration

Abstract page for arXiv paper 2603.03792: TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration

arXiv - Machine Learning · 3 min ·
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