MLinfo | 機械学習・AI論文まとめ

When Should a World Model Move? Loss-Conditioned State Execution

We introduce loss-conditioned state execution, a model-agnostic method that decides whether to execute a world

自然言語処理RAG予測

用途: 予測
難易度: Hard
コスト: Low

MoveBench: A Benchmark for Global-Scale Wildlife Movement Forecasting

Understanding and predicting wildlife movement is critical for ecology and conservation. While trajectory fore

コンピュータビジョン動画認識予測

用途: 予測
難易度: Hard
コスト: High

Data-driven Prediction of Satellite-observed Avalanche Activity from Snowpack Simulations

Avalanche forecasting requires knowledge of snowpack conditions and recent avalanche activity, but field obser

深層学習Transformer検出予測

用途: 検出
難易度: Hard
コスト: High

センサ/時系列品質予測/異常検知自然言語処理RAG検出異常検知予測

GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection

Unsupervised multivariate time series anomaly detection methods typically identify anomalies through forecasti

用途: 検出
難易度: Hard
コスト: High

センサ/時系列深層学習Transformer予測テキストマルチモーダル

Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting

We study the adaptation of pretrained language models to univariate time-series forecasting through a paramete

用途: 予測
難易度: Hard
コスト: High

When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning

Urban region representation learning commonly combines heterogeneous data sources, such as mobility flows, poi

自然言語処理埋め込み・検索予測埋め込みテキスト

用途: 予測
難易度: Hard
コスト: Low

センサ/時系列品質予測/異常検知自然言語処理大規模言語モデル予測画像テキスト

Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context

Most time series forecasting benchmarks remain numerical-centric and provide limited support for evaluating co

用途: 予測
難易度: Hard
コスト: High

Ensemble Complexity in Photovoltaic Forecasting

An ensemble can improve photovoltaic forecasts while adding components that contribute little or increase comp

自然言語処理ファインチューニング予測

用途: 予測
難易度: Hard
コスト: Low

STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting

Spatio-temporal traffic forecasting is a fundamental big data analytics task for intelligent transportation sy

センサ/時系列深層学習軽量化・量子化予測テキスト

用途: 予測
難易度: Hard
コスト: High

表形式向きCPUで試しやすい自然言語処理ファインチューニング生成予測

Horizon-specific Expert Fusion for Photovoltaic Power Forecasting

Short-term photovoltaic power forecasting requires models to represent regular solar cycles and weather-driven

用途: 生成
難易度: Hard
コスト: High

Decision-Oriented Uncertainty Quantification for Risk Control in Earth System Spatiotemporal Foundation Models

Earth system modeling is shifting from task-specific predictors toward foundation models with general spatiote

品質予測/異常検知自然言語処理RAG予測テキスト

用途: 予測
難易度: Hard
コスト: Low

表形式向きCPUで試しやすい深層学習Transformer予測

WaVeFuse: Regime-Adaptive Equity Index Forecasting via Channel-Wise Wavelet Denoising and Vertical Attention Fusion

Hybrid Deep Learning for equity index forecasting is limited by three problems: propagation of OHLCV noise int

用途: 予測
難易度: Hard
コスト: Low

Are Gradient Boosting Models Suitable for Intermittent Demand Forecasting?

Demand forecasting is critical in modern industry, offering opportunities to reduce costs and gain competitive

表形式向きセンサ/時系列生成AIGAN予測時系列

用途: 予測
難易度: Hard
コスト: Low

An immune world model for multiscale forecasting and therapeutic hypothesis generation

Immune therapies act across cell-intrinsic programs, tissue ecosystems, and patient-specific immune states, ye

強化学習モデルベース生成予測テキスト

用途: 生成
難易度: Hard
コスト: Low

arxivPaper only2026-09-12

Phorecaster365: A Human-Supervised Reference Architecture for Hybrid Pharmaceutical Sales Forecasting and Planning Decision Support

Pharmaceutical sales forecasts inform planning across products, regions, and distribution channels, yet their

品質予測/異常検知コンピュータビジョン動画認識生成予測テキスト

用途: 生成
難易度: Hard
コスト: High

arxivGitHubあり2026-09-12

ForeSight: Enhancing Risk Monitoring via Early Safety Signal Distillation

As large language models (LLMs) are increasingly deployed, the generation of harmful content has become a crit

深層学習軽量化・量子化検出生成予測

用途: 検出
難易度: Hard
コスト: High

arxivPaper only2026-09-12

How to Better Train VLAs: Lessons Learned From the REAL-I Challenge at ICRA 2026

How can robot policies learn more effectively from a fixed demonstration budget? The first Real-world Embodied

品質予測/異常検知コンピュータビジョン動画認識予測マルチモーダル

用途: 予測
難易度: Hard
コスト: High

arxivPaper only2026-09-11

Beyond Point Forecasts: A Survey on Probabilistic Forecasting for Time Series and Spatiotemporal Data

Probabilistic forecasting is central to decision-making under uncertainty, yet its methodological landscape ha

センサ/時系列自然言語処理RAG生成回帰予測

用途: 生成
難易度: Hard
コスト: Low

arxivPaper only2026-09-10

Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting

Continuous glucose monitoring (CGM) provides high-frequency measurements of glucose dynamics and enables short

センサ/時系列深層学習RNN / LSTM異常検知予測画像

用途: 異常検知
難易度: Hard
コスト: High

arxivPaper only2026-09-10

Stress-Testing Dynamical and Generative Downscaling Using Subseasonal Extreme Precipitation Forecasts

Coarse spatial resolution limits the ability of subseasonal prediction models to resolve extreme precipitation

生成AI拡散モデル生成予測

用途: 生成
難易度: Hard
コスト: High

arxivPaper only2026-09-10

A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent Outputs

Feature-based explanations quantify features' influence on model predictions, but are primarily designed for s

深層学習Transformer予測

用途: 予測
難易度: Hard
コスト: Low

arxivGitHubあり2026-09-10

MC-DeTra: Motion-Consistent Joint Object Detection and Socially-Aware Trajectory Forecasting in Bird's-Eye-View Images

Unified models for object detection and trajectory forecasting aim to merge perception and prediction for auto

コンピュータビジョン物体検出検出予測画像

用途: 検出
難易度: Hard
コスト: High

huggingfaceHugging Faceあり2026-09-10

Competence-Gated Pooling of Language Models and Priors for Event Forecasting

In hybrid forecasting, a language model is often one of several available signals. A system may already have a

センサ/時系列強化学習方策勾配 (PPO / A3C)予測テキスト時系列

用途: 予測
難易度: Easy
コスト: Low

arxivPaper only2026-09-08

AlphaRJM: Reward-Jump Memory for Stochastic Return-Guided Alpha Discovery

Formulaic alpha discovery is a pool-dependent symbolic search problem in which informative feedback is observe

自然言語処理大規模言語モデル予測

用途: 予測
難易度: Hard
コスト: High

arxivPaper only2026-09-04

PAC-Bayesian Reconstruction Guarantees for Time Series Variational Autoencoders

Forecasting time series accurately is critical for applications with complex data ranging from energy systems

センサ/時系列コンピュータビジョン動画認識生成予測時系列

用途: 生成
難易度: Hard
コスト: High

arxivPaper only2026-09-03

Optimal Stratified Allocation for Rare-Event Onset Forecasting in Dependent Sequences

Let a finite population of n labelled examples carry a class-weighted loss, with pi*n in a rare positive class

コンピュータビジョンセグメンテーション予測

用途: 予測
難易度: Hard
コスト: Low

arxivPaper only2026-09-03

Rollcast: Proper-Score Gated Rolling Anchors for Adaptive Probabilistic Time-Series Forecasting

Rollcast is a probabilistic forecasting method for univariate time series that combines a compact set of rolli

説明可能センサ/時系列自然言語処理RAG回帰予測時系列

用途: 回帰
難易度: Hard
コスト: Low

arxivPaper only2026-09-03

CompEvo: Competition-Induced Evolution for Multi-Agent in News-Driven Time Series Forecasting

News-driven time series forecasting uses evolving textual events together with historical observations to pred

センサ/時系列自然言語処理RAG生成予測テキスト

用途: 生成
難易度: Hard
コスト: Low

arxivPaper only2026-08-25

Single State Update Predictive Coding training for Time Series Forecasting and Anomaly Detection

Predictive Coding (PC) is a neural learning paradigm that enables parallelizable neural network layer updates.

センサ/時系列品質予測/異常検知強化学習方策勾配 (PPO / A3C)検出生成異常検知

用途: 検出
難易度: Hard
コスト: High

arxivPaper only2026-08-21

Free-Probability Kernels for Zero-Rollout Hyperparameter Selection in Reservoir Computing

Reservoir computing (RC) couples a fixed recurrent dynamical system with a trained lightweight readout, but th

少数データ向きCPUで試しやすい条件最適化深層学習Transformer回帰予測

用途: 回帰
難易度: Hard
コスト: Low

arxivPaper only2026-08-20

Enhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecasting

The study employed an Artificial Neural Network in combination with the optimized Adaptive Moment Estimation (

品質予測/異常検知深層学習正規化・最適化手法回帰予測

用途: 回帰
難易度: Hard
コスト: High