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【採用情報】プロダクトチームのセールス、マーケティングのポジションをオープンしました🐟️ Product Sales & Account Executive：国内外のエンタープライズ顧客を開拓し、プロダクト収益を牽引するポジションです https://sakana.ai/car…

【採用情報】プロダクトチームのセールス、マーケティングのポジションをオープンしました🐟️ Product Sales & Account Executive：国内外のエンタープライズ顧客を開拓し、プロダクト収益を牽引するポジションです https://sakana.ai/careers/business-role-product-sales-account-executive/ Product M

researchdavid-ha--x

25 Jun 2026

research

Privacy-preserving federated tensor decomposition of single-cell immune data: recovering multicellular programs across institutions

Privacy Vulnerabilities of Attention Layers in Tabular Foundation Models and Protection of High-Risk Queries

Proud to be part of the @SakanaAILabs RSI Lab The vision: the future isn't the most compute-hungry self-improvement engine, it's the most sa…

Qiskit Paulice: postselected quantum error correction

Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds

Rate-Aware Quantum-Inspired Trajectory Learning for Interference-Limited Multi-UAV Networks

Re-mixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning

Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptation

Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs

Repositioning retail for the AI era

Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection

ReviewGuard: Aligning LLM-Assisted Peer Review with Long-Term Scientific Impact

REViT: Roto-reflection Equivariant Convolutional Vision Transformer

Riazi-8B: An Urdu Large Language Model for Mathematical Reasoning

Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification

RotRNN: Modelling Long Sequences with Rotations

S^{2}-FracMix: Label-Preserving Self-Saliency Mixup Augmentation

Sample complexity of unbalanced entropic OT

Scalable Peptide Design via Memory-Efficient Equivariant Transformer

Scale or Reason? A Compute-Equivalent Analysis of Reasoning Distillation

SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

SE-AGCNet: An End-to-End Framework for Joint Speech Enhancement and Loudness Control in Meeting Scenarios

Securing Time Integrity in Energy IoT Against Clock Drift and Y2K38 Failures

Self Capacitive Tactile Sensor System designed for Companion Robots

Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning

Semantic Allocation in Ordered Bottlenecks: Predictive Residual Inference for Visual Representation Learning

SEMIR: Topology-Preserving Graph Minors for Thin-Structure Segmentation

Shift Variant Image Degradation and Restoration Using Singular Value Decomposition

Simplify to Amplify: Achieving Information-Theoretic Bounds with Fewer Steps in Spectral Community Detection

Space-Efficient Language Generation in the Limit

Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model

SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

SplatPainter: Interactive Authoring of 3D Gaussians from 2D Edits via Test-Time Training

State Space Models Meet Remote Sensing: A Survey

Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding

Structured Approximations of Measures

Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds

StyleFusion360: View-Consistent Head Stylization via Adaptive Style Modulation

Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach

Symmetric Linear Dynamical Systems are Learnable from Few Observations

Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher

TensorLDM: A Component-Wise Latent Diffusion Model for Volumetric DTI Reconstruction from Sparse DWIs

The cognitive, affective, and behavioral expression of self-stigma among people who use drugs in online substance use communities

The Download: Europe’s heat wave hits the grid, and IBM’s chip targets Moore’s Law

The Effective Number of Nonzeros: Theory and Regularization for Sparse Recovery

The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms

The Gentle Collapse: Distributional Metrics for Continual Learning