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Machine Learning

[D] Is this considered unsupervised or semi-supervised learning in anomaly detection?

Hi šŸ‘‹šŸ¼, Iā€™m working on an anomaly detection setup and Iā€™m a bit unsure how to correctly describe it from a learning perspective. The model...

Reddit - Machine Learning · 1 min ·
Machine Learning

Serious question. Did a transformer just describe itself and the universe and build itself a Shannon limit framework?

The Multiplicative Lattice as the Natural Basis for Positional Encoding Knack 2026 | Draft v6.0 Abstract We show that the apparent tradeo...

Reddit - Artificial Intelligence · 1 min ·
UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·

All Content

[2603.13334] Lipschitz-Based Robustness Certification Under Floating-Point Execution
Machine Learning

[2603.13334] Lipschitz-Based Robustness Certification Under Floating-Point Execution

Abstract page for arXiv paper 2603.13334: Lipschitz-Based Robustness Certification Under Floating-Point Execution

arXiv - Machine Learning · 4 min ·
[2603.16661] Self-Aware Markov Models for Discrete Reasoning
Machine Learning

[2603.16661] Self-Aware Markov Models for Discrete Reasoning

Abstract page for arXiv paper 2603.16661: Self-Aware Markov Models for Discrete Reasoning

arXiv - Machine Learning · 4 min ·
[2603.13909] FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
Machine Learning

[2603.13909] FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data

Abstract page for arXiv paper 2603.13909: FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for...

arXiv - Machine Learning · 4 min ·
[2511.16148] Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models
Machine Learning

[2511.16148] Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models

Abstract page for arXiv paper 2511.16148: Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models

arXiv - Machine Learning · 3 min ·
[2601.16399] A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning
Llms

[2601.16399] A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning

Abstract page for arXiv paper 2601.16399: A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to ...

arXiv - Machine Learning · 4 min ·
[2601.00473] Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning
Machine Learning

[2601.00473] Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning

Abstract page for arXiv paper 2601.00473: Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning

arXiv - Machine Learning · 4 min ·
[2511.18789] Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors
Machine Learning

[2511.18789] Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors

Abstract page for arXiv paper 2511.18789: Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Le...

arXiv - Machine Learning · 4 min ·
[2511.18000] Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning
Machine Learning

[2511.18000] Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning

Abstract page for arXiv paper 2511.18000: Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Indi...

arXiv - Machine Learning · 4 min ·
[2512.03923] Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations
Machine Learning

[2512.03923] Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations

Abstract page for arXiv paper 2512.03923: Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations

arXiv - Machine Learning · 4 min ·
[2511.18178] Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability
Machine Learning

[2511.18178] Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability

Abstract page for arXiv paper 2511.18178: Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability

arXiv - Machine Learning · 4 min ·
[2511.11743] Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts
Machine Learning

[2511.11743] Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts

Abstract page for arXiv paper 2511.11743: Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts

arXiv - Machine Learning · 4 min ·
[2511.06767] QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations
Machine Learning

[2511.06767] QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations

Abstract page for arXiv paper 2511.06767: QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common P...

arXiv - Machine Learning · 4 min ·
[2510.27321] MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data
Machine Learning

[2510.27321] MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data

Abstract page for arXiv paper 2510.27321: MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electr...

arXiv - Machine Learning · 4 min ·
[2510.14814] Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
Machine Learning

[2510.14814] Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift

Abstract page for arXiv paper 2510.14814: Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift

arXiv - Machine Learning · 4 min ·
[2510.15495] OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
Machine Learning

[2510.15495] OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning

Abstract page for arXiv paper 2510.15495: OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2510.14751] Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries
Llms

[2510.14751] Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries

Abstract page for arXiv paper 2510.14751: Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries

arXiv - Machine Learning · 3 min ·
[2510.06020] RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics
Machine Learning

[2510.06020] RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics

Abstract page for arXiv paper 2510.06020: RamPINN: Recovering Raman Spectra From Coherent Anti-Stokes Spectra Using Embedded Physics

arXiv - Machine Learning · 4 min ·
[2510.00430] PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
Machine Learning

[2510.00430] PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment

Abstract page for arXiv paper 2510.00430: PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment

arXiv - Machine Learning · 4 min ·
[2510.01169] Fiaingen: A financial time series generative method matching real-world data quality
Machine Learning

[2510.01169] Fiaingen: A financial time series generative method matching real-world data quality

Abstract page for arXiv paper 2510.01169: Fiaingen: A financial time series generative method matching real-world data quality

arXiv - Machine Learning · 4 min ·
[2509.24140] A signal separation view of classification
Machine Learning

[2509.24140] A signal separation view of classification

Abstract page for arXiv paper 2509.24140: A signal separation view of classification

arXiv - Machine Learning · 3 min ·
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