Papers
11,951 papers found
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
Zaige Fei, Fan Xu, Junyuan Mao et al.
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Xingyao Wang, Boxuan Li, Yufan Song et al.
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Shubham Toshniwal, Wei Du, Ivan Moshkov et al.
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
Kaiyan Zhang, Jiayuan Zhang, Haoxin Li et al.
OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
Junjielong Xu, Qinan Zhang, Zhiqing Zhong et al.
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
Qizhou Wang, Guansong Pang, Mahsa Salehi et al.
OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
Kepan Nan, Rui Xie, Penghao Zhou et al.
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
Yongxian Wei, Zixuan Hu, Li Shen et al.
Open-World Reinforcement Learning over Long Short-Term Imagination
Jiajian Li, Qi Wang, Yunbo Wang et al.
Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation
Mohamed El Amine Boudjoghra, Angela Dai, Jean Lahoud et al.
Operator Deep Smoothing for Implied Volatility
Ruben Wiedemann, Antoine Jacquier, Lukas Gonon
OPTAMI: Global Superlinear Convergence of High-order Methods
Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk et al.
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
Zhicheng Yang, Yiwei Wang, Yinya Huang et al.
Optimal Brain Apoptosis
Mingyuan Sun, Zheng Fang, Jiaxu Wang et al.
Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments
Lifang Chen, Zhichao Chen, Liqi Yan et al.
Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction
Liangliang Shi, Yufeng Li, Kaipeng Zeng et al.
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
Juno Kim, Dimitri Meunier, Arthur Gretton et al.
Optimality of Matrix Mechanism on $\ell_p^p$-metric
Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay
Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
Hongwei Wen, Annika Betken, Hanyuan Hang
Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes
Jongmin Lee, Ernest K. Ryu
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi et al.
Optimal Transport for Time Series Imputation
Hao Wang, zhengnan li, Haoxuan Li et al.
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny et al.
Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
Yuma Ichikawa, Yamato Arai