Machine Learning

ML algorithms, training, and inference

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Machine Learning

[P] I tested Meta’s brain-response model on posts. It predicted the Elon one almost perfectly.

I built an experimental UI and visualization layer around Meta’s open brain-response model just to see whether this stuff actually works ...

Reddit - Machine Learning · 1 min ·
Machine Learning

[P] I trained an AI to play Resident Evil 4 Remake using Behavioral Cloning + LSTM

I recorded gameplay trajectories in RE4's village — running, shooting, reloading, dodging — and used Behavioral Cloning to train a model ...

Reddit - Machine Learning · 1 min ·
Machine Learning

[D] Why does it seem like open source materials on ML are incomplete? this is not enough...

Many times when I try to deeply understand a topic in machine learning — whether it's a new architecture, a quantization method, a full t...

Reddit - Machine Learning · 1 min ·

All Content

[2603.25006] Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
Machine Learning

[2603.25006] Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

Abstract page for arXiv paper 2603.25006: Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

arXiv - AI · 4 min ·
[2603.24989] Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model
Llms

[2603.24989] Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model

Abstract page for arXiv paper 2603.24989: Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model

arXiv - AI · 4 min ·
[2603.24986] Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
Llms

[2603.24986] Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

Abstract page for arXiv paper 2603.24986: Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

arXiv - AI · 3 min ·
[2603.24705] Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
Machine Learning

[2603.24705] Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

Abstract page for arXiv paper 2603.24705: Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

arXiv - Machine Learning · 4 min ·
[2603.24704] Conformal Selective Prediction with General Risk Control
Machine Learning

[2603.24704] Conformal Selective Prediction with General Risk Control

Abstract page for arXiv paper 2603.24704: Conformal Selective Prediction with General Risk Control

arXiv - Machine Learning · 4 min ·
[2603.24654] Spectral methods: crucial for machine learning, natural for quantum computers?
Machine Learning

[2603.24654] Spectral methods: crucial for machine learning, natural for quantum computers?

Abstract page for arXiv paper 2603.24654: Spectral methods: crucial for machine learning, natural for quantum computers?

arXiv - Machine Learning · 4 min ·
[2603.24652] Demystifying When Pruning Works via Representation Hierarchies
Machine Learning

[2603.24652] Demystifying When Pruning Works via Representation Hierarchies

Abstract page for arXiv paper 2603.24652: Demystifying When Pruning Works via Representation Hierarchies

arXiv - Machine Learning · 3 min ·
[2603.24940] Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
Llms

[2603.24940] Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system

Abstract page for arXiv paper 2603.24940: Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-i...

arXiv - AI · 4 min ·
[2603.24936] TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Optimization
Machine Learning

[2603.24936] TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Optimization

Abstract page for arXiv paper 2603.24936: TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Opti...

arXiv - AI · 4 min ·
[2603.24626] A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data
Machine Learning

[2603.24626] A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data

Abstract page for arXiv paper 2603.24626: A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data

arXiv - Machine Learning · 4 min ·
[2603.24617] Multi-LLM Query Optimization
Llms

[2603.24617] Multi-LLM Query Optimization

Abstract page for arXiv paper 2603.24617: Multi-LLM Query Optimization

arXiv - Machine Learning · 3 min ·
[2603.24898] Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence
Machine Learning

[2603.24898] Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence

Abstract page for arXiv paper 2603.24898: Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Cli...

arXiv - AI · 4 min ·
[2603.24598] Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles
Machine Learning

[2603.24598] Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles

Abstract page for arXiv paper 2603.24598: Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles

arXiv - Machine Learning · 4 min ·
[2603.25699] Neural Network Conversion of Machine Learning Pipelines
Machine Learning

[2603.25699] Neural Network Conversion of Machine Learning Pipelines

Abstract page for arXiv paper 2603.25699: Neural Network Conversion of Machine Learning Pipelines

arXiv - AI · 3 min ·
[2603.24891] Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware
Machine Learning

[2603.24891] Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware

Abstract page for arXiv paper 2603.24891: Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparamet...

arXiv - AI · 4 min ·
[2603.25692] A Unified Memory Perspective for Probabilistic Trustworthy AI
Machine Learning

[2603.25692] A Unified Memory Perspective for Probabilistic Trustworthy AI

Abstract page for arXiv paper 2603.25692: A Unified Memory Perspective for Probabilistic Trustworthy AI

arXiv - AI · 3 min ·
[2603.25687] On Neural Scaling Laws for Weather Emulation through Continual Training
Llms

[2603.25687] On Neural Scaling Laws for Weather Emulation through Continual Training

Abstract page for arXiv paper 2603.25687: On Neural Scaling Laws for Weather Emulation through Continual Training

arXiv - Machine Learning · 4 min ·
[2603.25673] Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening
Machine Learning

[2603.25673] Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening

Abstract page for arXiv paper 2603.25673: Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening

arXiv - Machine Learning · 4 min ·
[2603.24857] AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective
Llms

[2603.24857] AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective

Abstract page for arXiv paper 2603.24857: AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective

arXiv - Machine Learning · 4 min ·
[2603.25635] Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments
Machine Learning

[2603.25635] Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments

Abstract page for arXiv paper 2603.25635: Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric...

arXiv - Machine Learning · 4 min ·
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