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AWS brings OpenAI’s AI models and Codex programming assistant to its cloud
Machine Learning

AWS brings OpenAI’s AI models and Codex programming assistant to its cloud

AWS brings OpenAI’s AI models and Codex programming assistant to its cloud - SiliconANGLE

AI Tools & Products · 5 min ·
Trimble Links SketchUp with Anthropic's Claude, Bringing New Conversational AI-powered Capabilities to 3D Modeling
Llms

Trimble Links SketchUp with Anthropic's Claude, Bringing New Conversational AI-powered Capabilities to 3D Modeling

/PRNewswire/ -- Trimble (Nasdaq: TRMB) today announced a specialized integration with Claude, the large language model and AI assistant f...

AI Tools & Products · 4 min ·
Pentagon AI chief confirms DOD's expanded use of Google, says reliance on one model 'never a good thing'
Machine Learning

Pentagon AI chief confirms DOD's expanded use of Google, says reliance on one model 'never a good thing'

The Pentagon's AI chief discussed the DOD's expanded use of Google Gemini after the blacklisting of Anthropic.

AI Tools & Products · 4 min ·

All Content

[2503.03206] An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
Machine Learning

[2503.03206] An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models

Abstract page for arXiv paper 2503.03206: An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models

arXiv - Machine Learning · 4 min ·
[2502.15567] Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses
Machine Learning

[2502.15567] Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses

Abstract page for arXiv paper 2502.15567: Model Privacy: A Unified Framework for Understanding Model Stealing Attacks and Defenses

arXiv - Machine Learning · 4 min ·
[2502.07977] RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent
Machine Learning

[2502.07977] RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent

Abstract page for arXiv paper 2502.07977: RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent

arXiv - Machine Learning · 4 min ·
[2502.02020] Causal Bandit Over Unknown Graphs: Upper Confidence Bounds With Backdoor Adjustment
Machine Learning

[2502.02020] Causal Bandit Over Unknown Graphs: Upper Confidence Bounds With Backdoor Adjustment

Abstract page for arXiv paper 2502.02020: Causal Bandit Over Unknown Graphs: Upper Confidence Bounds With Backdoor Adjustment

arXiv - Machine Learning · 4 min ·
[2501.15458] Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions
Machine Learning

[2501.15458] Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions

Abstract page for arXiv paper 2501.15458: Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From ...

arXiv - Machine Learning · 4 min ·
[2411.18235] Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
Machine Learning

[2411.18235] Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control

Abstract page for arXiv paper 2411.18235: Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control

arXiv - AI · 4 min ·
[2410.07430] EventFlow: Forecasting Temporal Point Processes with Flow Matching
Machine Learning

[2410.07430] EventFlow: Forecasting Temporal Point Processes with Flow Matching

Abstract page for arXiv paper 2410.07430: EventFlow: Forecasting Temporal Point Processes with Flow Matching

arXiv - Machine Learning · 3 min ·
[2410.02260] FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks
Machine Learning

[2410.02260] FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks

Abstract page for arXiv paper 2410.02260: FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks

arXiv - Machine Learning · 3 min ·
[2307.09366] Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
Machine Learning

[2307.09366] Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives

Abstract page for arXiv paper 2307.09366: Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Pers...

arXiv - Machine Learning · 4 min ·
[2305.03784] Neural Exploitation and Exploration of Contextual Bandits
Machine Learning

[2305.03784] Neural Exploitation and Exploration of Contextual Bandits

Abstract page for arXiv paper 2305.03784: Neural Exploitation and Exploration of Contextual Bandits

arXiv - Machine Learning · 3 min ·
[2301.01741] Graph State-Space Models and Latent Relational Inference
Machine Learning

[2301.01741] Graph State-Space Models and Latent Relational Inference

Abstract page for arXiv paper 2301.01741: Graph State-Space Models and Latent Relational Inference

arXiv - Machine Learning · 3 min ·
[2006.04363] Mitigating Value Hallucination in Dyna Planning via Multistep Predecessor Models
Machine Learning

[2006.04363] Mitigating Value Hallucination in Dyna Planning via Multistep Predecessor Models

Abstract page for arXiv paper 2006.04363: Mitigating Value Hallucination in Dyna Planning via Multistep Predecessor Models

arXiv - AI · 4 min ·
[2604.04930] Early Stopping for Large Reasoning Models via Confidence Dynamics
Machine Learning

[2604.04930] Early Stopping for Large Reasoning Models via Confidence Dynamics

Abstract page for arXiv paper 2604.04930: Early Stopping for Large Reasoning Models via Confidence Dynamics

arXiv - AI · 3 min ·
[2604.04920] PINNs in PDE Constrained Optimal Control Problems: Direct vs Indirect Methods
Machine Learning

[2604.04920] PINNs in PDE Constrained Optimal Control Problems: Direct vs Indirect Methods

Abstract page for arXiv paper 2604.04920: PINNs in PDE Constrained Optimal Control Problems: Direct vs Indirect Methods

arXiv - Machine Learning · 4 min ·
[2604.04898] QED-Nano: Teaching a Tiny Model to Prove Hard Theorems
Machine Learning

[2604.04898] QED-Nano: Teaching a Tiny Model to Prove Hard Theorems

Abstract page for arXiv paper 2604.04898: QED-Nano: Teaching a Tiny Model to Prove Hard Theorems

arXiv - AI · 4 min ·
[2604.04894] Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation
Llms

[2604.04894] Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation

Abstract page for arXiv paper 2604.04894: Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Ent...

arXiv - AI · 4 min ·
[2604.04872] Synthetic Sandbox for Training Machine Learning Engineering Agents
Llms

[2604.04872] Synthetic Sandbox for Training Machine Learning Engineering Agents

Abstract page for arXiv paper 2604.04872: Synthetic Sandbox for Training Machine Learning Engineering Agents

arXiv - Machine Learning · 4 min ·
[2604.04829] A Robust SINDy Autoencoder for Noisy Dynamical System Identification
Machine Learning

[2604.04829] A Robust SINDy Autoencoder for Noisy Dynamical System Identification

Abstract page for arXiv paper 2604.04829: A Robust SINDy Autoencoder for Noisy Dynamical System Identification

arXiv - Machine Learning · 3 min ·
[2604.04804] SkillX: Automatically Constructing Skill Knowledge Bases for Agents
Llms

[2604.04804] SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Abstract page for arXiv paper 2604.04804: SkillX: Automatically Constructing Skill Knowledge Bases for Agents

arXiv - Machine Learning · 4 min ·
[2604.04828] Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
Machine Learning

[2604.04828] Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer

Abstract page for arXiv paper 2604.04828: Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circui...

arXiv - Machine Learning · 4 min ·
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