AI Wiki — Knowledge Base

AIサイエンティストが示すような自律的な科学的発見の未来を実現し、現在の課題を乗り越えていくためには、最先端のML研究とプロダクトを繋ぐ強力なエンジニアリングが不可欠です。 https://sakana.ai/careers/#software-engineer-research…

AIサイエンティストが示すような自律的な科学的発見の未来を実現し、現在の課題を乗り越えていくためには、最先端のML研究とプロダクトを繋ぐ強力なエンジニアリングが不可欠です。 https://sakana.ai/careers/#software-engineer-research-and-development 現在Sakana AIでは、研究開発を加速させるSoftware Engineer (

researchdavid-ha--x

15 Apr 2026

research

A DeepONet for inverting the Neumann-to-Dirichlet Operator in Electrical Impedance Tomography: An approximation theoretic perspective and numerical results

A Residual-Shell-Based Lower Bound for Ollivier-Ricci Curvature

A Theoretical Comparison of No-U-Turn Sampler Variants: Necessary and Sufficient Convergence Conditions and Mixing Time Analysis under Gaussian Targets

A unified data format for managing diabetes time-series data: DIAbetes eXchange (DIAX)

A Workflow to Efficiently Generate Dense Tissue Ground Truth Masks for Digital Breast Tomosynthesis

A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation

Accelerating Speculative Decoding with Block Diffusion Draft Trees

Actuation space reduction to facilitate insightful shape matching in a novel reconfigurable tendon driven continuum manipulator

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought

Adaptive Budget Allocation in LLM-Augmented Surveys

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification

AGMA: Adaptive Gaussian Mixture Anchors for Prior-Guided Multimodal Human Trajectory Forecasting

AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation

Algorithmic Analysis of Dense Associative Memory: Finite-Size Guarantees and Adversarial Robustness

An Optimal Sauer Lemma Over k-ary Alphabets

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

Any smart human giving it real effort should score >90% on ARC-AGI-3

Are gamers being used as free labeling labor? The rise of 'Simulators' that look like AI training grounds [D]

Asymptotically Stable Gait Generation and Instantaneous Walkability Determination for Planar Almost Linear Biped with Knees

Audio Source Separation in Reverberant Environments using eta-divergence based Nonnegative Factorization

Automatic Road Subsurface Distress Recognition from Ground Penetrating Radar Images using Deep Learning-based Cross-verification

[b]=[d]-[t]+[p]: Self-supervised Speech Models Discover Phonological Vector Arithmetic

BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design

Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering

Boosting Robust AIGI Detection with LoRA-based Pairwise Training

Boosting Visual Instruction Tuning with Self-Supervised Guidance

Broadening the Applicability of Conditional Syntax Splitting for Reasoning from Conditional Belief Bases

Building evidence-based knowledge bases from full-text literature for disease-specific biomedical reasoning

Building trust in the AI era with privacy-led UX

Calibrated Confidence Estimation for Tabular Question Answering

Can AI Detect Life? Lessons from Artificial Life

Causal Fingerprints of AI Generative Models

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability

Cell Instance Segmentation via Multi-Task Image-to-Image Schrodinger Bridge

Characterizing Resource Sharing Practices on Underground Internet Forum Synthetic Non-Consensual Intimate Image Content Creation Communities

CHI PLAY reviews [R]

CLAD: Efficient Log Anomaly Detection Directly on Compressed Representations

CLASP: Class-Adaptive Layer Fusion and Dual-Stage Pruning for Multimodal Large Language Models

Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent

Classification of Epileptic iEEG using Topological Machine Learning

CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs

Cognition-Inspired Dual-Stream Semantic Enhancement for Vision-Based Dynamic Emotion Modeling

CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training

Conflated Inverse Modeling to Generate Diverse and Temperature-Change Inducing Urban Vegetation Patterns

Constant-Factor Approximation for the Uniform Decision Tree