githubGitHubあり2026-09-07
shap — A game theoretic approach to explain the output of any machine learning model.
機械学習モデルの出力を説明するゲーム理論的手法を取ったライブラリ。
説明可能機械学習アンサンブル学習
- 用途
- 機械学習モデルの解釈
- 難易度
- Easy
- コスト
- Medium
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「SHAP」の検索結果
89 件arxivPaper only2026-09-04
FedDRAW: Federated Dual Reputation Annealing Weighting for Heterogeneous Multi-Institutional Chest Radiograph Classification
Artificial intelligence models are promising for medical diagnosis, but they require large numbers of unbiased
深層学習Transformer分類
- 用途
- 分類
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
Solution-space heterogeneity shapes federated learning dynamics across partial differential equations
Federated scientific machine learning enables institutions to train neural surrogates without centralizing loc
深層学習軽量化・量子化
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
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arxivPaper only2026-09-04
How Faithful Is Attribution for Sales Forecasting? A Counterfactual Study
Deep models for sales forecasting, such as WaveNet-style dilated convolutional networks, are accurate but opaq
説明可能深層学習CNN予測
- 用途
- 予測
- 難易度
- Hard
- コスト
- Low
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arxivPaper only2026-09-04
Persistent Teacher Anchoring for Tool-Using Agents
Distillation is common in LLM post-training, where on-policy knowledge distillation (OPKD) uses student-genera
深層学習軽量化・量子化生成テキスト
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
Locating and Steering Refusal Beyond Attention
Where inside a language model does refusal live, and does that place change when the architecture does? In a t
説明可能深層学習Transformer検出テキスト
- 用途
- 検出
- 難易度
- Hard
- コスト
- Medium
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arxivPaper only2026-09-04
Tracing Audio Grounding and Answer Selection in Audio LLMs
Audio Large Language Models (Audio LLMs) have advanced in audio understanding, yet they can still predict the
センサ/時系列自然言語処理大規模言語モデルテキスト音声
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents
A runtime gate for an LLM tool agent is usually cast as a filter. In a ReAct loop a rejected proposal is follo
説明可能自然言語処理大規模言語モデル音声
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies
Visuomotor imitation policies can achieve high performance under in-distribution visual conditions yet fail wh
深層学習Transformer画像マルチモーダル
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
The History Is the Detector: Executing CVE Patch History, End-to-End
Public vulnerability databases collect rich information about known software flaws, including their weakness t
品質予測/異常検知深層学習軽量化・量子化検出テキスト
- 用途
- 検出
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI
LLM-based chatbots are increasingly used as everyday confidants. Because they are designed to maximize user sa
深層学習Transformer
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
Compact Neural Appearance Models for Efficient Gaussian Splatting
Explicit primitive-based radiance fields such as 3D Gaussian Splatting typically model view-dependent appearan
品質予測/異常検知深層学習軽量化・量子化画像3D
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
LensStyle: Learning the Optical Aesthetics for Controllable Stylized Lens Effect Rendering
The visual aesthetics of photographs are deeply influenced by lens characteristics such as aperture shape, opt
説明可能品質予測/異常検知生成AI拡散モデル画像
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-04
SeamFlow: Structure-Aware Flow Matching on Edge Probabilities for Artist-Like UV Unwrapping
3D surface cutting and UV unwrapping are fundamental problems in computer graphics. Traditional geometric opti
コンピュータビジョン3D・点群生成画像3D
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-03
Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach
The geometric morphology of deposited filaments can significantly influence the structural performance and sta
深層学習軽量化・量子化3D
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-03
Witnesses Explain Anomalies
Unsupervised anomaly detection scores each point of an unlabelled, contaminated sample in a single pass, and i
表形式向き説明可能品質予測/異常検知コンピュータビジョンセグメンテーション検出異常検知表形式
- 用途
- 検出
- 難易度
- Hard
- コスト
- Low
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arxivPaper only2026-09-03
Neural-Network Maxent: a general extension with learned nonlinearity, applied to time-series for Desert Locust distribution modelling
Species Distribution Modelling (SDM) is essential for understanding how environmental conditions shape biodive
センサ/時系列品質予測/異常検知深層学習RNN / LSTM予測時系列
- 用途
- 予測
- 難易度
- Hard
- コスト
- Low
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arxivPaper only2026-09-03
Towards a Statistical Understanding of Mixture-of-Experts
Mixture-of-experts (MoE) architectures increase model capacity by combining a collection of expert predictors
機械学習特徴量エンジニアリング検出
- 用途
- 検出
- 難易度
- Hard
- コスト
- Medium
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arxivPaper only2026-09-03
Towards Understanding Pause Token Fine-Tuning Dynamics: A Mode Retention Perspective
Pause-token methods improve LLM reasoning by inserting special tokens into sequences. Prior work explains thes
深層学習Transformer
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
A Roadmap for MEG Foundation Models
Foundation models are beginning to reshape brain-signal analysis by moving the field beyond task-specific deco
説明可能センサ/時系列生成AIGAN時系列自己教師
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-03
Where Appearance Fails, Geometry Recognizes: A CAD-Free 3D Shape Prior That Complements Vision Foundation Models
Recognizing specific objects onboarded without a labeled training set recurs across manufacturing and service
品質予測/異常検知コンピュータビジョン3D・点群分類画像テキスト
- 用途
- 分類
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-03
What Attention Recalls and Recurrence Controls in Hybrid Language Models
Hybrid language models combine attention with a fixed-size recurrent state, but the role of each channel remai
深層学習RNN / LSTM生成テキスト
- 用途
- 生成
- 難易度
- Hard
- コスト
- Low
→
arxivGitHubあり2026-09-03
Beyond Shallow Alignment: How Post-Training Methods Determine Refusal Circuits And Steering Robustness
How do the methods used to train language models to refuse harmful requests shape how that refusal actually wo
自然言語処理大規模言語モデルテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
Language, Language Models, and What We're Talking About
Language models are commonly discussed as technical artefacts, but they are obviously shaped by the linguistic
品質予測/異常検知機械学習特徴量エンジニアリングテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-03
Less Is Moral: A CHARMing Framework for Moral Foundations Detection in Endorsement Behaviour
Moral language plays a central role in shaping online endorsement and the diffusion of information, yet existi
深層学習Attention機構検出テキスト音声
- 用途
- 検出
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-03
EVOHARNESSBENCH: Can Your Agents Keep Pace with an Evolving Harness?
Modern LLM-based agents operate through a harness of tools, reusable skills, and specialist agents that shapes
自然言語処理大規模言語モデル
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivGitHubあり2026-09-03
Decoupling Turn-Taking from Semantics: A Decoupled Data Approach for Finite-State-Machine-Based Full-Duplex Dialogue
The Neural Finite State Machine (NFSM) framework offers a pragmatic path to full-duplex dialogue by serializin
センサ/時系列自然言語処理大規模言語モデル生成テキスト音声
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
Explainable Multimodal Deep Learning Integrating Imaging and Clinical Data for Oral Potentially Malignant Disorder Detection
Oral potentially malignant disorders (OPMDs) are critical precursors to oral cancer, yet clinical detection re
説明可能深層学習CNN検出画像マルチモーダル
- 用途
- 検出
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
TokenMatch: 3D Mesh Correspondence Transformer with Curvature-Guided Tokenisation
While data-driven 3D shape correspondence estimation has recently seen substantial progress, robust matching u
説明可能深層学習Transformer生成3D
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
→
arxivGitHubあり2026-09-03
The Shape of Time: Video-Token Contrast for Temporal Understanding in VideoLMs
Seeing frames in order does not mean representing time. Modern VideoLMs receive ordered video streams, yet the
コンピュータビジョンセグメンテーション生成テキスト動画
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
Catalogue Photography as a Cold Start: Toward Deployable Carbide Burr Recognition
Verifying that manufactured batches of milling tools or carbide rotary burrs conform to production order sheet
品質予測/異常検知深層学習Transformer分類埋め込み画像
- 用途
- 分類
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation
Scalable Vector Graphics (SVG) generation is attracting increasing attention as generative models improve in e
説明可能自然言語処理ファインチューニング生成画像テキスト
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
→
arxivGitHubあり2026-09-03
Urban Boundaries, Social Barriers: A Benchmark and Vision-Centric Framework for Mapping Gated Communities and Equity Implications
Communities are fundamental spatial units that shape urban form and social life. Whether a residential compoun
深層学習Transformer分類画像テキスト
- 用途
- 分類
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion
Implicit neural representations (INRs) can model continuous 3D shapes with a shared coordinate decoder and per
深層学習軽量化・量子化テキスト3D
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivGitHubあり2026-09-03
Semantic-Aware Subgraph State Space Model for WSI Classification in Histopathology
Histopathological subtyping relies on the recognition of characteristic histological patterns. These patterns
少数データ向き深層学習グラフニューラルネット分類画像テキスト
- 用途
- 分類
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
PL-SCEA: Reconfiguring Pretrained Attention for Few-Shot Industrial Anomaly Detection
Vision Foundation Models (VFMs) provide transferable patch representations for few-shot industrial anomaly det
少数データ向き品質予測/異常検知深層学習軽量化・量子化分類検出異常検知
- 用途
- 分類
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-09-03
Mudragen: Geometrically Supervised Generation of Interacting Two-Hand Mudras for Preserving Indian Classical Dance Heritage
Automatic generation of hand gestures is essential for the transmission of Indian classical dance and critical
自然言語処理RAG生成画像テキスト
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
P-CORE: Self-Supervised Surface Consistency for Point-Based Neural Editing
Advances in neural rendering have enabled high-fidelity multi-view reconstruction of 3D scenes. However, free-
深層学習Transformer画像3D自己教師
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
When Seeing Overrides Knowing: Visual Dominance and Deferral-Based Method for Personalized Safety in VLMs
Vision-language models (VLMs) are increasingly deployed in high-stakes settings, where a response that is reas
深層学習軽量化・量子化画像テキストマルチモーダル
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-03
Tensor-based Brain Surface Modeling and Analysis
We present a unified computational approach to tensor-based morphometry in detecting the brain surface shape d
生成AI拡散モデル画像
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
huggingfaceHugging Faceあり2026-09-03
The Attention Triangle in Audio-Video Models
Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet
品質予測/異常検知深層学習Attention機構生成画像テキスト
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
arxivPaper only2026-09-02
No country for old linguists: LLM-brain alignment underdetermines neural computation
Nastase et al. (2026) argue that large language models (LLMs) may illuminate language processing because both
深層学習Transformerテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-02
From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution
Training data attribution (TDA) aims to identify training examples that shape model behavior, but its interven
自然言語処理大規模言語モデル
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-02
Real-Time Shape Control of Multi-Segment Soft Robotic Arms Using Koopman Operators with Global and Local Observables
Multi-segment soft robotic arms can continuously reconfigure their body shapes for safe interaction, but tip c
品質予測/異常検知深層学習Transformer
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-09-02
Fair Stable Matching: A Nash Social Welfare Approach
While traditional stable matching algorithms, such as the Gale-Shapley algorithm, prioritize stability, they m
機械学習特徴量エンジニアリングテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
huggingfaceHugging Faceあり2026-09-02
Cliff: Learning Process Rewards from the First Mistake
Reinforcement learning with verifiable rewards (RLVR) has emerged as a powerful paradigm for large language mo
深層学習軽量化・量子化テキスト強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
arxivPaper only2026-09-01
Semi-Supervised Classification with Informative Missing Labels in Weibull Mixture Models
We consider semi-supervised classification from a partially classified sample arising from a two-component Wei
コンピュータビジョンセグメンテーション分類半教師あり
- 用途
- 分類
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-09-01
One Demonstration, Many Objects: Generalizing Manipulation via Local Contact Geometry
Dexterous manipulation with multi-fingered robot hands promises human-level dexterity, but collecting large-sc
自然言語処理RAG
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-09-01
Accelerating Reinforcement Learning via MPC Solver-Gradient Guidance for Weights-varying MPC
In Model Predictive Control (MPC), cost-function weights shape closed-loop behavior, yet changing conditions o
説明可能深層学習Transformerテキスト強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-09-01
Exploring Nonlinear Body Oscillations for Natural Quadruped Gaits
Animals' body morphology shapes the gait patterns they can perform, where mechanical resonance reduces the nee
条件最適化深層学習Transformer生成
- 用途
- 生成
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-09-01
Mechanism Design for Alignment and Control
We develop a framework for mechanism design with AI agents whose alignment (preferences) and capabilities (fea
説明可能機械学習アンサンブル学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
huggingfaceHugging Faceあり2026-09-01
ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes
Compact token sequences are essential for efficient 3D generation. However, existing 3D tokenizers typically o
品質予測/異常検知深層学習Transformer生成3D
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
arxivPaper only2026-08-31
Autonomously Acquiring Robot Manipulation Skills with Language-Driven Quality-Diversity
Quality-diversity (QD) algorithms have been gaining traction in robot learning, where diverse motion primitive
品質予測/異常検知自然言語処理大規模言語モデル
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-31
SleepWalking: Privileged Representation Shaping for End-to-End Blind Locomotion in Legged Robots
Partially observable locomotion requires a policy to act when task-relevant properties of the robot--environme
深層学習RNN / LSTM
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-31
Proximity3D: Shape from Capacitive Proximity on Sensing Manifold
Most shape reconstruction methods assume measurements defined over planar sensing domains, such as RGB images
センサ/時系列コンピュータビジョン3D・点群画像テキスト3D
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
huggingfaceHugging Faceあり2026-08-31
Group Adaptive Clipping Policy Optimization
Group relative policy optimization for reinforcement learning with verifiable rewards (RLVR) typically uses a
説明可能自然言語処理大規模言語モデル強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceGitHubありHugging Faceあり2026-08-29
QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation
Instance segmentation of overlapping cells in microscopy remains challenging due to semi-transparent structure
コンピュータビジョンセグメンテーション画像
- 用途
- セグメンテーション
- 難易度
- Easy
- コスト
- Medium
→
arxivPaper only2026-08-28
The information geometry of product-reference discrete diffusion: Interaction growth complexity and optimal scheduling
We study a class of product-reference diffusion algorithms for sampling from a discrete distribution. We show
品質予測/異常検知コンピュータビジョンセグメンテーション
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-28
Learning between the peaks: sharp asymptotics for kernel ridge regression under power-law anisotropy
We study kernel ridge regression under anisotropic Gaussian data, where the input covariance decays as a power
コンピュータビジョンセグメンテーション回帰
- 用途
- 回帰
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-28
AI Alignment through a Game-theoretic Lens: A Survey
As large language models and increasingly capable AI agents are deployed in high-risk settings, aligning them
自然言語処理大規模言語モデルテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-27
Curvature-Aware Radius Shrinkage for Adaptive Nearest Neighbor Classification
Nearest neighbor classification relies fundamentally on how locality is defined, yet conventional $k$-NN impos
コンピュータビジョンセグメンテーション分類
- 用途
- 分類
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-08-27
On the approximation of posterior laws in compound loss models by conditional Wasserstein GANs
Bayesian inference in compound loss models must often be repeated across policies, market scenarios, and prior
深層学習軽量化・量子化生成
- 用途
- 生成
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-27
Tensor-Accelerated Eager Multi-Resolution Grids for Evolving Large-Scale Substrates
In neuroevolution, indirect encoding generates neural network connectivity from a compact genome rather than s
深層学習Transformer
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-27
ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification
Object classification in event-based computer vision is a task that is attracting considerable research attent
センサ/時系列品質予測/異常検知深層学習Transformer分類
- 用途
- 分類
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-08-27
Trusting AI in Competitive Markets
People's trust in AI advice diverges as they use it, deepening for some and eroding for others. We study this
MI向き強化学習マルチエージェント
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivGitHubあり2026-08-26
Quantum-Inspired Modeling of Driving Behavior
Driver behavior is heterogeneous, context-dependent, and changes over time, and these properties shape the tra
説明可能コンピュータビジョンセグメンテーションテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-25
Bellman Calibration for Marginalized Importance Weighting in Offline Reinforcement Learning
Marginalized importance weighting evaluates a target policy by reweighting offline state-action samples with i
自然言語処理大規模言語モデル強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-25
Effective Learning Rate Governs Loss Dynamics in Language Model Pretraining
We uncover ELR collapse in language model pretraining: learning rate (LR) and parameter norm govern loss dynam
深層学習正規化・最適化手法テキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-25
Physics Attention Transformer Surrogate for Rapid Vertical Instability Growth Rate Prediction: Alcator C-Mod to SPARC
In this work, we investigate rapid prediction of the dominant $n{=}0$ vertical instability growth rate in C-Mo
説明可能深層学習Transformer
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-25
Common-Center Geometry and Certified Radial Reconstruction for Energy-Form Full Conformal Regions
This note studies the geometry of full conformal prediction (FullCP) regions generated by an empirical energy-
品質予測/異常検知自然言語処理RAG
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-25
qshap: Fast Shapley Decomposition of $R^2$ for Gradient-Boosted Trees
Numerous methods have been developed to quantify feature attributions in individual predictions for tree ensem
表形式向き説明可能CPUで試しやすい深層学習軽量化・量子化
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-25
Knowing When to Ask for Help: Bayesian Self-Escalation in Hierarchical LLM Agents
Current LLM agent systems decide delegation before reasoning begins (a router picks a model) or after a respon
自然言語処理大規模言語モデル生成
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-25
Directed walks shape a universal square-root law of entropy production rate in nonreciprocal systems
The entropy production rate (EPR) quantifies irreversibility of a nonequilibrium steady state, yet standard fo
機械学習特徴量エンジニアリング
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-25
Rules Before Oracles: Auditable, User-Configurable Argument Selection for Deliberative Polling
In a deliberative poll, once submissions outnumber what anyone will read, some mechanism chooses which argumen
自然言語処理RAG
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-08-24
Traceable Spectral Inference via Influence Functions: Efficient Data Attribution and Error Proxies for the Ariel Mission
Interpretability is critical for machine learning models deployed in scientific space missions such as ESA's A
説明可能深層学習Transformer
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-19
The Role of Grid Cells in Reducing Spatial Aliasing in Hippocampal Place Representations
Spatial aliasing occurs when two or more distinct locations produce highly similar place-cell representations,
品質予測/異常検知コンピュータビジョンセグメンテーション画像
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-17
REFLEX: Reflexive Equilibrium Fixed-point Learning for Endogenous eXchanges
In over-the-counter corporate bond markets, dealers compete for client trades by quoting bid and ask prices. T
品質予測/異常検知機械学習特徴量エンジニアリング
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-16
Non-obvious Manipulability with Groups in Shapley-Scarf Housing Markets
In Shapley-Scarf housing markets, Ma (1994) shows that top trading cycles (TTC) is the unique mechanism satisf
コンピュータビジョンセグメンテーション
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-15
Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees
An invariant behavioral profile is the defining vulnerability of traditional honeypot installations: a skilled
CPUで試しやすい深層学習RNN / LSTM分類生成テキスト
- 用途
- 分類
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-08-14
Individual Rationality in Constrained Hedonic Games: Friends, Enemies, and Neutrals
We study constrained coalition formation in games induced by friends, enemies, and neutrals, under the two sta
機械学習特徴量エンジニアリング
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-13
SAGE: Surrogate-gradient Adaptation via Attention-Guided Entropy for Spiking Transformers
Spiking neural networks (SNNs) offer an energy-efficient alternative to conventional deep neural networks by e
説明可能深層学習Transformer
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-10
Regret, equilibrium, and learning in games: A guided tour
This note aims to serve as an entry point to the literature on learning in games, a topic with significant the
自然言語処理RAGテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-08-09
Does a Toehold Make a Bidder Bolder? Preemption and Multiplicity in Multi-Round Takeover Auctions
A bidder can quietly buy a stake in a company before making an offer for it. That stake, a toehold, is suppose
コンピュータビジョンセグメンテーション
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-08
Indirect Geoeconomic Influence: A Switching Dynamical Systems Framework for Mechanism Design
We develop a formal framework for analyzing indirect geoeconomic influence. The influencing state (sender) doe
機械学習特徴量エンジニアリング生成
- 用途
- 生成
- 難易度
- Hard
- コスト
- Medium
→
arxivPaper only2026-08-05
Towards Decentralized Searcher Competition in MEV Markets
均等可能な価値（Maximal Extractable Value：MEV）市場における中央集中化は、ブロックチェーンシステムにとって大きな懸念事項であり、経済力の集中化は、競争を抑制し、ブロックチェーンの目標であるデコ
品質予測/異常検知自然言語処理RAG
- 用途
- 中央集中化に関する問題を解決する
- 難易度
- Hard
- コスト
- Low
→
arxivPaper only2026-08-04
Active Spiking Perception: The Membrane Potential as a Belief State for Anytime 3D Point Cloud Recognition
Spiking point cloud networks usually scan space in a fixed, input-agnostic order, which leaves the most distin
深層学習Transformer分類3D
- 用途
- 分類
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-08-03
Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory
この研究では、記憶を維持し更新する能力を強化するため、繰り返し神経ネットワークを用いて記憶の特性を分析しました。記憶を維持するための神経計算の一種として、ダイショビュールノーマリゼーション（Divisive Normal
深層学習Transformer
- 用途
- 瞬時記憶の能力を強化する
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-07-23
Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design
シミュレーション駆動設計では、高精度なシミュレーションを少なくすることで設計を実現しています。既存の手法では、その問題に取り組むために最適化アルゴリズムが改善されてきましたが、問題の定義自体は検討されていません。この論文
深層学習軽量化・量子化生成
- 用途
- コスト削減的なシミュレーション駆動設計
- 難易度
- Hard
- コスト
- High
→
arxivPaper only2026-07-21
How the fly holds a single goal: normalization, not selection, in Drosophila FC2
この論文では、機械学
深層学習Transformer分類
- 用途
- メカニズムにおける不確実性の量子化
- 難易度
- Hard
- コスト
- Low
→