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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Modeling and Learning Multiple Hypotheses for Monocular 3D Object Detection WACV 2026
Detection of Adversarial Prompts with Model Predictive Entropy EACL 2026
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026
Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination WACV 2026
BSAN: Behavioral State Attention Network for Modeling Mosquito Host-Seeking Behavior AAAI 2026
TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction AAAI 2026
The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence AAAI 2026
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint) AAAI 2026
Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback AAAI 2026
EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization AAAI 2026
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty AAAI 2026
Gaussian Approximation for Two-Timescale Linear Stochastic Approximation AAAI 2026
High-Order Error Bounds for Markovian LSA with Richardson–Romberg Extrapolation AAAI 2026
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering AAAI 2026
GUI-G²: Gaussian Reward Modeling for GUI Grounding AAAI 2026
Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs AAAI 2026
QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion AAAI 2026
MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies AAAI 2026
Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026
Frequency-Dependent Scheduled Schrödinger Bridge for Underwater Acoustic Signal Denoising AAAI 2026
A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning AAAI 2026
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting AAAI 2026
Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space AAAI 2026
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts AAAI 2026