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Machine Learning

GPU Compass – open-source, real-time GPU pricing across 20+ clouds [P]

We maintain an open-source catalog of cloud GPU offerings (skypilot-catalog, Apache 2.0). It auto-fetches pricing from 20+ cloud APIs eve...

Reddit - Machine Learning · 1 min ·
5 AI Models Tried to Scam Me. Some of Them Were Scary Good | WIRED
Machine Learning

5 AI Models Tried to Scam Me. Some of Them Were Scary Good | WIRED

The cyber capabilities of AI models have experts rattled. AI’s social skills may be just as dangerous.

Wired - AI · 8 min ·
Machine Learning

“AI engineers” today are just prompt engineers with better branding?

Hot take: A lot of what’s being called “AI engineering” right now feels like: prompt tweaking chaining APIs adding retries/guardrails Not...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2604.02035] Reinforcement Learning for Speculative Trading under Exploratory Framework
Machine Learning

[2604.02035] Reinforcement Learning for Speculative Trading under Exploratory Framework

Abstract page for arXiv paper 2604.02035: Reinforcement Learning for Speculative Trading under Exploratory Framework

arXiv - Machine Learning · 3 min ·
[2604.02017] Demographic Parity Tails for Regression
Machine Learning

[2604.02017] Demographic Parity Tails for Regression

Abstract page for arXiv paper 2604.02017: Demographic Parity Tails for Regression

arXiv - Machine Learning · 3 min ·
[2604.01987] Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models
Llms

[2604.01987] Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

Abstract page for arXiv paper 2604.01987: Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

arXiv - Machine Learning · 4 min ·
[2604.01978] Homogenized Transformers
Machine Learning

[2604.01978] Homogenized Transformers

Abstract page for arXiv paper 2604.01978: Homogenized Transformers

arXiv - Machine Learning · 3 min ·
[2604.01944] Physics-Informed Transformer for Multi-Band Channel Frequency Response Reconstruction
Machine Learning

[2604.01944] Physics-Informed Transformer for Multi-Band Channel Frequency Response Reconstruction

Abstract page for arXiv paper 2604.01944: Physics-Informed Transformer for Multi-Band Channel Frequency Response Reconstruction

arXiv - Machine Learning · 4 min ·
[2604.01939] Probabilistic classification from possibilistic data: computing Kullback-Leibler projection with a possibility distribution
Machine Learning

[2604.01939] Probabilistic classification from possibilistic data: computing Kullback-Leibler projection with a possibility distribution

Abstract page for arXiv paper 2604.01939: Probabilistic classification from possibilistic data: computing Kullback-Leibler projection wit...

arXiv - Machine Learning · 4 min ·
[2604.01929] Woosh: A Sound Effects Foundation Model
Llms

[2604.01929] Woosh: A Sound Effects Foundation Model

Abstract page for arXiv paper 2604.01929: Woosh: A Sound Effects Foundation Model

arXiv - AI · 3 min ·
[2604.01921] Learning Spatial Structure from Pre-Beamforming Per-Antenna Range-Doppler Radar Data via Visibility-Aware Cross-Modal Supervision
Machine Learning

[2604.01921] Learning Spatial Structure from Pre-Beamforming Per-Antenna Range-Doppler Radar Data via Visibility-Aware Cross-Modal Supervision

Abstract page for arXiv paper 2604.01921: Learning Spatial Structure from Pre-Beamforming Per-Antenna Range-Doppler Radar Data via Visibi...

arXiv - Machine Learning · 4 min ·
[2604.01833] Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks
Machine Learning

[2604.01833] Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks

Abstract page for arXiv paper 2604.01833: Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks

arXiv - Machine Learning · 3 min ·
[2604.01843] Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images
Machine Learning

[2604.01843] Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images

Abstract page for arXiv paper 2604.01843: Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images

arXiv - Machine Learning · 4 min ·
[2604.01789] Learning in Prophet Inequalities with Noisy Observations
Machine Learning

[2604.01789] Learning in Prophet Inequalities with Noisy Observations

Abstract page for arXiv paper 2604.01789: Learning in Prophet Inequalities with Noisy Observations

arXiv - Machine Learning · 3 min ·
[2604.01754] LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches
Llms

[2604.01754] LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches

Abstract page for arXiv paper 2604.01754: LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches

arXiv - Machine Learning · 4 min ·
[2604.01725] LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis
Machine Learning

[2604.01725] LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis

Abstract page for arXiv paper 2604.01725: LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fau...

arXiv - Machine Learning · 4 min ·
[2604.01606] Random Coordinate Descent on the Wasserstein Space of Probability Measures
Machine Learning

[2604.01606] Random Coordinate Descent on the Wasserstein Space of Probability Measures

Abstract page for arXiv paper 2604.01606: Random Coordinate Descent on the Wasserstein Space of Probability Measures

arXiv - Machine Learning · 3 min ·
[2604.01563] Does Your Optimizer Care How You Normalize? Normalization-Optimizer Coupling in LLM Training
Llms

[2604.01563] Does Your Optimizer Care How You Normalize? Normalization-Optimizer Coupling in LLM Training

Abstract page for arXiv paper 2604.01563: Does Your Optimizer Care How You Normalize? Normalization-Optimizer Coupling in LLM Training

arXiv - Machine Learning · 3 min ·
[2604.01554] EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild
Machine Learning

[2604.01554] EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild

Abstract page for arXiv paper 2604.01554: EXHIB: A Benchmark for Realistic and Diverse Evaluation of Function Similarity in the Wild

arXiv - Machine Learning · 4 min ·
[2604.01484] The topological gap at criticality: scaling exponent d + η, universality, and scope
Machine Learning

[2604.01484] The topological gap at criticality: scaling exponent d + η, universality, and scope

Abstract page for arXiv paper 2604.01484: The topological gap at criticality: scaling exponent d + η, universality, and scope

arXiv - Machine Learning · 4 min ·
[2604.01474] Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation
Llms

[2604.01474] Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation

Abstract page for arXiv paper 2604.01474: Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation

arXiv - Machine Learning · 4 min ·
[2604.01472] The Newton-Muon Optimizer
Llms

[2604.01472] The Newton-Muon Optimizer

Abstract page for arXiv paper 2604.01472: The Newton-Muon Optimizer

arXiv - Machine Learning · 4 min ·
[2604.01466] Efficient Equivariant Transformer for Self-Driving Agent Modeling
Machine Learning

[2604.01466] Efficient Equivariant Transformer for Self-Driving Agent Modeling

Abstract page for arXiv paper 2604.01466: Efficient Equivariant Transformer for Self-Driving Agent Modeling

arXiv - Machine Learning · 4 min ·
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