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先週末シンガポールにて行われた@AIDotEngineerにて、Sakana AIのResearch Scientistである@Stefania_DrugaがソブリンAIをテーマに登壇しました。ソブリンAIというと、「各国が自前の基盤モデルを持つこと」が語られがちですが、Sak…

先週末シンガポールにて行われた@AIDotEngineerにて、Sakana AIのResearch Scientistである@Stefania_DrugaがソブリンAIをテーマに登壇しました。ソブリンAIというと、「各国が自前の基盤モデルを持つこと」が語られがちですが、Sakana AIはこれをもう少し広く捉えています。世界中の優れたモデルを取り入れながら、その出力やふるまいを自国の文化・制

researchdavid-ha--x

19 May 2026

Search: “research”

A simple approach for biometrics: Finger-knuckle prints recognition based on a Sobel filter and similarity measures

A Structural Threshold in Decision Capacity Governs Collapse in Self-Play Reinforcement Learning

A Systematic Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation

A Theory of Training Profit-Optimal LLMs

A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows

A Unified Framework for Structured Flow Modeling: From Continuous Fields to Data-Driven Representations

AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge

Accelerating Inference for Multilayer Neural Networks with Quantum Computers

Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling

ACE: Self-Evolving LLM Coding Framework via Adversarial Unit Test Generation and Preference Optimization

Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization

ACIL: Auto Chain of Thoughts for In-Context Learning

Active Defense Against False Data Injection Attacks in Robotic Manipulators

Active learning for photonic crystals

先週末シンガポールにて行われた@AIDotEngineerにて、Sakana AIのResearch Scientistである@Stefania_DrugaがソブリンAIをテーマに登壇しました。 ソブリンAIというと、「各国が自前の基盤モデルを持つこと」が語られがちですが、Sak…

AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning

AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics

AMS-HD: Hyperdimensional Computing for Real-Time and Energy-Efficient Acute Mountain Sickness Detection

An Approximation Algorithm for Graph Label Selection

An Efficient Machine Learning-based Framework for Detection and Prevention of Frauds in Telecom Networks

An Information-Theoretic Criterion for Efficient Data Synthesis

Analyzing Error Propagation in Korean Spoken QA with ASR-LLM Cascades

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization

Are Sparse Autoencoder Benchmarks Reliable?

AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents

Atoms as Language: VQ-Atom: Semantic Discretization for Molecular Representation Learning

Attacking the First-Principle: A Black-Box, Query-Free Targeted Mimicry Attack on Binary Function Classifiers

Attention-Aware Transformer-Based Aggregation Network for Video Periocular Recognition

Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models

AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code

Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization

Bayesian Networks for Path-Based Sensors: Gathering Information and Path Planning in Communication Denied Environments

BELIEF: Structured Evidence Modeling and Uncertainty-Aware Fusion for Biomedical Question Answering

Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives

Better Together: Evaluating the Complementarity of Earth Embedding Models

Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Beyond Euclidean Prototypes: Spectral Disentanglement and Geodesic Matching for Few-Shot Medical Image Segmentation

Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation

Beyond Linear Superposition: Discovering Climate Features in AI Weather Models with KAN-SAE

Beyond MMSE: Enhancing PnP Restoration with ProxiMAP

Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification

Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation

Beyond Square Roots: Explicit Memory-Efficient Factorization for Multi-Epoch Private Learning

Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval

Bidirectional Optical sensors for Actuation Tracking (BOAT) in soft lattice systems

BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart

Brain Vascular Age Prediction Using Cerebral Blood Flow Velocity and Machine Learning Algorithms

先週末シンガポールにて行われた@AIDotEngineerにて、Sakana AIのResearch Scientistである@Stefania_DrugaがソブリンAIをテーマに登壇しました。ソブリンAIというと、「各国が自前の基盤モデルを持つこと」が語られがちですが、Sak…