Tutorials

How-to guides and engineering deep dives

87 articles

AI & ML

One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them

Self-Play Reinforcement Learning under Imperfect Information in Big 2

Emergent Semantic Representations in World Models through Physical Interaction without Linguistic Supervision

Balancing Multimodal Learning through Label Space Reshaping

Spectral Guidance for Flexible and Efficient Control of Diffusion Models

When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL

A Training-Time Diagnostic for Generalization via the Log-Alignment Ratio

Comparing Post-Hoc Explainable AI Methods for Interpreting Black-Box EEG Models in Depression Detection

The Hamilton-Jacobi Theory of Deep Learning

Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning

Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies

Learning to Translate from Soft to Hard LLM Prompts

Chain-based Adaptive Reconfiguration Over Lattices for Hallucination Reduction

Escape the Language Prior: Mitigating Late-Stage Modality Collapse in Audio Reasoning via Modality-Aware Policy Optimization

Introducing Neptune: Direct3D virtualization for QEMU

Behavior-Induced Mirror-Prox Temporal-Difference Learning for Faster Off-Policy Prediction

Behavior-Aware Auxiliary Corrections for Off-Policy Temporal-Difference Prediction

Differentiable Belief-based Opponent Shaping

Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching

Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution Semantics

How to apply to Startup Battlefield 2026, what you need ahead of the June 8 deadline

I used the N.E.A.T algorithm to teach AI how to control a worm in my game in making! It uses evolution to improve. [P]

Cross-species RSA: same learning rules (BP, PC, STDP, FA) tested against both human fMRI and macaque electrophysiology [P]

[D] Is IEEE Workshop on Machine Learning for Signal Processing Reputable? [D]

Bigger rewards dramatically speed up learning in the brain

I hated writing–until I learned there's a science to it(2024)

Personalized Observation Normalization for Federated Reinforcement Learning in Simulation Environments with Heterogeneity

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey

Metric-Aware PCA as a Linear Instance of Geometric Deep Learning

Architecture-driven Shift: towards a lightweight selector for capturing the trends of logit shift

HEAL: Resilient and Self-* Hub-based Learning

Energy-Structured Low-Rank Adaptation for Continual Learning

Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation

Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals

Gradient Transformer: Learning to Generate Updates for LLMs

Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data

Supervised Distributional Reduction via Optimal Transport and Dependence Maximization

Faster Thermal Profiling of a Lunar Rover with Machine Learning Adapted Finite Difference Model

Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment

How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting

Test-Time Collective Action: Proxy-Based Perturbations for Correcting Algorithmic Harms

Introducing AI-Powered Review Keywords

RULER: Representation-Level Verification of Machine Unlearning

Reasoning and Planning with Dynamically Changing Norms

Hierarchical Prompt-Domain Control and Learning for Resource-Constrained Agentic Language Models

Auditable Decision Models with Learned Abstention and Real-Time Steering

GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease

How to Quickly Warm Up Your MacBook

Trajectory, founded by ex-DeepMind, Apple, and OpenAI staff to train “continual learning” models on user interactions, raised a $15M seed at a $115M valuation

Amazon says it is making the “architecture, starter code, and learnings” from Alexa for Shopping available to third-party retailers, starting with Kate Spade

On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach

Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning

GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training

Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training

HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals

Co-folding model guided by structural proteomics

On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series

From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD

Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization

Two-Parameter Flows for Learning Population Dynamics of Physical Systems

Curriculum Learning for Safety Alignment

byoungd/English-level-up-tips — An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程/英语学习/学英语

A deep dive into how Claude Code and OpenClaw unleashed the AI agent revolution that is rapidly transforming the modern computing landscape

Can LLMs Introspect? A Reality Check

JobBench: Aligning Agent Work With Human Will

Exploiting Local Dynamics Regularity for Reusable Skills in Offline Hierarchical RL

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

MedGuideX: Internalizing Decision Logic from Executable Guidelines into Large Language Models for Clinical Reasoning

FAST-GOAL: Fast and Efficient Global-local Object Alignment Learning

What I've Learned (So Far) Building Online Mini Games with Elixir and Swift

What we’re looking for in Startup Battlefield 2026, and how to apply in time for the May 27 deadline

Introducing DoomBench - Can Your Data Stack Run DOOM?

Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation

LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs

A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood?

Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette

Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion

Not All Transitions Matter: Evidence from PPO

Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis

Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning

PrivFusion: A Privacy-preserving Multi-Agent Framework for Harmonizing Distributed Datasets

Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence

US law enforcement documents: the DHS, FBI, and other agencies introduce a novel domestic threat category termed “anti-tech violent extremism” amid the AI boom

ai & ml

2 min read★★★☆☆

Read Breakdown →

Tutorials

One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them

Self-Play Reinforcement Learning under Imperfect Information in Big 2

Emergent Semantic Representations in World Models through Physical Interaction without Linguistic Supervision

Balancing Multimodal Learning through Label Space Reshaping

Spectral Guidance for Flexible and Efficient Control of Diffusion Models

When LLM Reward Design Fails: Diagnostic-Driven Refinement for Sparse Structured RL

A Training-Time Diagnostic for Generalization via the Log-Alignment Ratio

Comparing Post-Hoc Explainable AI Methods for Interpreting Black-Box EEG Models in Depression Detection

The Hamilton-Jacobi Theory of Deep Learning

Learning Robust and Task-Invariant Functional Representation from fMRI through Siamese Self-Supervised Learning

FedQHD: Closed-Form Function-Space Federated Reinforcement Learning

Label-Free Reinforcement Learning via Cross-Model Entropy

Enhancing LLM Medical Coding with Structured External Knowledge

Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies

Learning to Translate from Soft to Hard LLM Prompts

Chain-based Adaptive Reconfiguration Over Lattices for Hallucination Reduction

Escape the Language Prior: Mitigating Late-Stage Modality Collapse in Audio Reasoning via Modality-Aware Policy Optimization

Introducing Neptune: Direct3D virtualization for QEMU

Behavior-Induced Mirror-Prox Temporal-Difference Learning for Faster Off-Policy Prediction

Behavior-Aware Auxiliary Corrections for Off-Policy Temporal-Difference Prediction

Differentiable Belief-based Opponent Shaping

Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching

Bridging the Sim-to-Real Gap in Reinforcement Learning-Based Industrial Dispatching through Execution Semantics

How to apply to Startup Battlefield 2026, what you need ahead of the June 8 deadline

I used the N.E.A.T algorithm to teach AI how to control a worm in my game in making! It uses evolution to improve. [P]

Cross-species RSA: same learning rules (BP, PC, STDP, FA) tested against both human fMRI and macaque electrophysiology [P]

[D] Is IEEE Workshop on Machine Learning for Signal Processing Reputable? [D]

Bigger rewards dramatically speed up learning in the brain

I hated writing–until I learned there's a science to it(2024)

Personalized Observation Normalization for Federated Reinforcement Learning in Simulation Environments with Heterogeneity

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey

Metric-Aware PCA as a Linear Instance of Geometric Deep Learning

Architecture-driven Shift: towards a lightweight selector for capturing the trends of logit shift

HEAL: Resilient and Self-* Hub-based Learning

Energy-Structured Low-Rank Adaptation for Continual Learning

Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation

Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals

Gradient Transformer: Learning to Generate Updates for LLMs

Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data

Supervised Distributional Reduction via Optimal Transport and Dependence Maximization

Faster Thermal Profiling of a Lunar Rover with Machine Learning Adapted Finite Difference Model

Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment

How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting

Test-Time Collective Action: Proxy-Based Perturbations for Correcting Algorithmic Harms

Introducing AI-Powered Review Keywords

RULER: Representation-Level Verification of Machine Unlearning

Reasoning and Planning with Dynamically Changing Norms

Hierarchical Prompt-Domain Control and Learning for Resource-Constrained Agentic Language Models

Auditable Decision Models with Learned Abstention and Real-Time Steering

GraD-IBD: Graph Representation Learning from Diagnosis Trajectories for Early Detection of Inflammatory Bowel Disease

How to Quickly Warm Up Your MacBook

Trajectory, founded by ex-DeepMind, Apple, and OpenAI staff to train “continual learning” models on user interactions, raised a $15M seed at a $115M valuation

Amazon says it is making the “architecture, starter code, and learnings” from Alexa for Shopping available to third-party retailers, starting with Kate Spade

On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach

Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning

GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training

Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training

HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals

Co-folding model guided by structural proteomics

On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series

From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD

Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization

Two-Parameter Flows for Learning Population Dynamics of Physical Systems

Curriculum Learning for Safety Alignment

byoungd/English-level-up-tips — An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程/英语学习/学英语

A deep dive into how Claude Code and OpenClaw unleashed the AI agent revolution that is rapidly transforming the modern computing landscape

Can LLMs Introspect? A Reality Check

JobBench: Aligning Agent Work With Human Will

Exploiting Local Dynamics Regularity for Reusable Skills in Offline Hierarchical RL

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

MedGuideX: Internalizing Decision Logic from Executable Guidelines into Large Language Models for Clinical Reasoning

FAST-GOAL: Fast and Efficient Global-local Object Alignment Learning

What I've Learned (So Far) Building Online Mini Games with Elixir and Swift

What we’re looking for in Startup Battlefield 2026, and how to apply in time for the May 27 deadline

Introducing DoomBench - Can Your Data Stack Run DOOM?

Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation

LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs

A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood?