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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Stochastic Processes
2667 directly classified papers
Papers per year
2003: 4
2004: 1
2005: 2
2006: 9
2007: 11
2008: 17
2009: 18
2010: 30
2011: 36
2012: 37
2013: 50
2014: 56
2015: 60
2016: 77
2017: 132
2018: 154
2019: 211
2020: 244
2021: 311
2022: 279
2023: 376
2024: 326
2025: 157
2026: 69
Papers
Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network
AAAI 2026
MSTDiff: Multiscale-Aware Transformer Diffusion Network for Video Object Detection
AAAI 2026
Pre-Trained Video Generative Models as World Simulators
AAAI 2026
Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange
AAAI 2026
Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection
AAAI 2026
SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer
AAAI 2026
SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization
AAAI 2026
ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics
AAAI 2026
Energy-based Autoregressive Generation for Neural Population Dynamics
AAAI 2026
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network
AAAI 2026
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
AAAI 2026
Statistical Foundations of DIME: Risk Estimation for Practical Index Selection
EACL 2026
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
AAAI 2026
Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding
EACL 2026
Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions
AAAI 2026
Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
AAAI 2026
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
AAAI 2026
Chronocept: Instilling a Sense of Time in Machines
EACL 2026
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
AAAI 2026
TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering
CVPR 2025
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model
CVPR 2025
Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories
CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
SMGDiff: Soccer Motion Generation using Diffusion Probabilistic Models
ICCV 2025
Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography
ICCV 2025
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