Molei Tao

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 57

Top Topics

Electromagnetic Fields

Diffusion Models

Top Venues

J. Comput. Phys.

Publications

Xingjie Li, Fei Lu, Molei Tao, Felix X.-F. Ye
Robust First and Second-Order Differentiation for Regularized Optimal Transport. CoRR (2024)
Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. CoRR (2024)
Lingkai Kong, Molei Tao
Convergence of Kinetic Langevin Monte Carlo on Lie groups. COLT (2024)
Lingkai Kong, Molei Tao
Quantitative Convergences of Lie Group Momentum Optimizers. CoRR (2024)
Ye He, Kevin Rojas, Molei Tao
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion. CoRR (2024)
Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. CoRR (2024)
Lingkai Kong, Molei Tao
Convergence of Kinetic Langevin Monte Carlo on Lie groups. CoRR (2024)
Xingjie Helen Li, Molei Tao
Automated construction of effective potential via algorithmic implicit bias. CoRR (2024)
Alexander Havrilla, Kevin Rojas, Wenjing Liao, Molei Tao
DFU: scale-robust diffusion model for zero-shot super-resolution image generation. CoRR (2024)
Yuqing Wang, Ye He, Molei Tao
Evaluating the design space of diffusion-based generative models. CoRR (2024)
Zihao Hu, Guanghui Wang, Xi Wang, Andre Wibisono, Jacob D. Abernethy, Molei Tao
Extragradient Type Methods for Riemannian Variational Inequality Problems. AISTATS (2024)
Xingjie Helen Li, Molei Tao
Automated construction of effective potential via algorithmic implicit bias. J. Comput. Phys. 514 (2024)
Wei Guo, Molei Tao, Yongxin Chen
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling. CoRR (2024)
Yuchen Zhu, Tianrong Chen, Evangelos A. Theodorou, Xie Chen, Molei Tao
Quantum State Generation with Structure-Preserving Diffusion Model. CoRR (2024)
Yuqing Wang, Zhenghao Xu, Tuo Zhao, Molei Tao
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult. CoRR (2023)
Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos A. Theodorou
Deep Momentum Multi-Marginal Schrödinger Bridge. CoRR (2023)
Xingjie Li, Fei Lu, Molei Tao, Felix X.-F. Ye
NySALT: Nyström-type inference-based schemes adaptive to large time-stepping. J. Comput. Phys. 477 (2023)
Lingkai Kong, Yuqing Wang, Molei Tao
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. ICLR (2023)
Bo Yuan, Jiaojiao Fan, Yuqing Wang, Molei Tao, Yongxin Chen
Markov Chain Monte Carlo for Gaussian: A Linear Control Perspective. IEEE Control. Syst. Lett. 7 (2023)
Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao
Mirror Diffusion Models for Constrained and Watermarked Generation. NeurIPS (2023)
Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao
Mirror Diffusion Models for Constrained and Watermarked Generation. CoRR (2023)
Qinsheng Zhang, Molei Tao, Yongxin Chen
gDDIM: Generalized denoising diffusion implicit models. ICLR (2023)
Zihao Hu, Guanghui Wang, Xi Wang, Andre Wibisono, Jacob D. Abernethy, Molei Tao
Extragradient Type Methods for Riemannian Variational Inequality Problems. CoRR (2023)
Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos A. Theodorou
Deep Momentum Multi-Marginal Schrödinger Bridge. NeurIPS (2023)
Yuqing Wang, Minshuo Chen, Tuo Zhao, Molei Tao
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect. ICLR (2022)
Ruilin Li, Hongyuan Zha, Molei Tao
Hessian-Free High-Resolution Nesterov Acceleration For Sampling. ICML (2022)
Oswin So, Gongjie Li, Evangelos A. Theodorou, Molei Tao
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian. CoRR (2022)
Molei Tao, Shi Jin
Accurate and efficient simulations of Hamiltonian mechanical systems with discontinuous potentials. J. Comput. Phys. 450 (2022)
Ying Chao, Molei Tao
Parametric Resonance for Enhancing the Rate of Metastable Transition. SIAM J. Appl. Math. 82 (3) (2022)
Qinsheng Zhang, Molei Tao, Yongxin Chen
gDDIM: Generalized denoising diffusion implicit models. CoRR (2022)
Andre Wibisono, Molei Tao, Georgios Piliouras
Alternating Mirror Descent for Constrained Min-Max Games. CoRR (2022)
Andre Wibisono, Molei Tao, Georgios Piliouras
Alternating Mirror Descent for Constrained Min-Max Games. NeurIPS (2022)
Lingkai Kong, Yuqing Wang, Molei Tao
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. CoRR (2022)
Ruilin Li, Molei Tao, Santosh S. Vempala, Andre Wibisono
The Mirror Langevin Algorithm Converges with Vanishing Bias. ALT (2022)
Ruilin Li, Hongyuan Zha, Molei Tao
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. ICLR (2022)
Xingjie Li, Fei Lu, Molei Tao, Felix X.-F. Ye
NySALT: Nyström-type inference-based schemes adaptive to large time-stepping. CoRR (2022)
Molei Tao, Shi Jin
Accurate and Efficient Simulations of Hamiltonian Mechanical Systems with Discontinuous Potentials. CoRR (2021)
Ruilin Li, Molei Tao, Santosh S. Vempala, Andre Wibisono
The Mirror Langevin Algorithm Converges with Vanishing Bias. CoRR (2021)
Renyi Chen, Molei Tao
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps. ICML (2021)
Yuqing Wang, Minshuo Chen, Tuo Zhao, Molei Tao
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect. CoRR (2021)
Renyi Chen, Molei Tao
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps. CoRR (2021)
Said Al-Abri, Tony X. Lin, Molei Tao, Fumin Zhang
A Derivative-Free Optimization Method With Application to Functions With Exploding and Vanishing Gradients. IEEE Control. Syst. Lett. 5 (2) (2021)
Ruilin Li, Hongyuan Zha, Molei Tao
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. CoRR (2021)
Taeyoung Lee, Molei Tao, Melvin Leok
Variational Symplectic Accelerated Optimization on Lie Groups. CDC (2021)
Ruilin Li, Hongyuan Zha, Molei Tao
Hessian-Free High-Resolution Nesterov Acceleration for Sampling. CoRR (2020)
Alejandro Garzón, Wilmar Rodriguez, Fernando Cristancho, Molei Tao
AhKin: A modular and efficient code for the Doppler shift attenuation method. Comput. Phys. Commun. 246 (2020)
Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. CoRR (2020)
Kaixuan Huang, Yuqing Wang, Molei Tao, Tuo Zhao
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective. NeurIPS (2020)
Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients. CoRR (2020)
Molei Tao, Tomoki Ohsawa
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems. AISTATS (2020)
Lingkai Kong, Molei Tao
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. CoRR (2020)
Lingkai Kong, Molei Tao
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. NeurIPS (2020)
Molei Tao, Tomoki Ohsawa
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems. CoRR (2020)
Molei Tao
Simply improved averaging for coupled oscillators and weakly nonlinear waves. Commun. Nonlinear Sci. Numer. Simul. 71 (2019)
Daniel Dylewsky, Molei Tao, J. Nathan Kutz
Data-driven multiscale decompositions for forecasting and model discovery. CoRR (2019)
Pengcheng Xie, Molei Tao
Parametric Resonant Control of Macroscopic Behaviors of Multiple Oscillators. ACC (2019)
Molei Tao
Explicit high-order symplectic integrators for charged particles in general electromagnetic fields. J. Comput. Phys. 327 (2016)
Shuo Han, Molei Tao, Ufuk Topcu, Houman Owhadi, Richard M. Murray
Convex Optimal Uncertainty Quantification. SIAM J. Optim. 25 (3) (2015)
Sina Ober-Blöbaum, Molei Tao, Mulin Cheng, Houman Owhadi, Jerrold E. Marsden
Variational integrators for electric circuits. J. Comput. Phys. 242 (2013)
Shuo Han, Ufuk Topcu, Molei Tao, Houman Owhadi, Richard M. Murray
Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids. ACC (2013)
Molei Tao, Houman Owhadi, Jerrold E. Marsden
Nonintrusive and Structure Preserving Multiscale Integration of Stiff ODEs, SDEs, and Hamiltonian Systems with Hidden Slow Dynamics via Flow Averaging. Multiscale Model. Simul. 8 (4) (2010)