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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
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
ACL 2025
DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement
IJCAI 2025
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis
IJCAI 2025
Enough Coin Flips Can Make LLMs Act Bayesian
ACL 2025
Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation
IJCAI 2025
ARIG: Autoregressive Interactive Head Generation for Real-time Conversations
ICCV 2025
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
ICCV 2025
Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator
IJCAI 2025
The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage
ACL 2025
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
ACL 2025
The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations
EMNLP 2025
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
IJCAI 2025
From Confidence to Collapse in LLM Factual Robustness
EMNLP 2025
BridgeVoC: Neural Vocoder with Schrödinger Bridge
IJCAI 2025
ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM
EMNLP 2025
Almost Sure Convergence of Dropout Algorithms for Neural Networks
JMLR 2025
Generative Adversarial Networks: Dynamics
JMLR 2025
RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models
EMNLP 2025
U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening
CVPR 2025
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes
JMLR 2025
Not a nuisance but a useful heuristic: Outlier dimensions favor frequent tokens in language models
EMNLP 2025
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
IJCAI 2025
Benchmarking Uncertainty Metrics for LLM Target-Aware Search
EMNLP 2025
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
AAAI 2025
Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework
EMNLP 2025
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