Ye He
- Chronic Stress Remodels Synapses in an Amygdala Circuit–Specific Manner
2018/07/04 by Jun-Yu Zhang, Junyu Zhang, Tao-Hui Liu +19 · 30 citations
Neuroscience · #Memory and Neural Mechanisms #Stress Responses and Cortisol #Neuroscience and Neuropharmacology Research
- Chronic Stress Causes Projection-Specific Adaptation of Amygdala Neurons via Small-Conductance Calcium-Activated Potassium Channel Downregulation
2018/12/19 by Wen-Hua Zhang, Wenhua Zhang, Wei-Zhu Liu +12 · 27 citations
Neuroscience · #Memory and Neural Mechanisms #Neurotransmitter Receptor Influence on Behavior #Stress Responses and Cortisol
- Evaluating the design space of diffusion-based generative models
2024/06/18 by Yuqing Wang, Ye He, Wang, Yuqing +3 · 7 citations
Engineering · #Design Education and Practice #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Probability (math.PR)
- On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method
2020/11/06 by Ye He, He, Ye, Krishnakumar Balasubramanian +3 · 2 citations
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Point processes and geometric inequalities #Statistical Methods and Inference #Statistics Theory (math.ST)
- Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
2024/02/27 by Ye He, Kevin Rojas, He, Ye +3 · 4 citations
Engineering · Decision Sciences · Mathematics · #Water Systems and Optimization #Advanced Statistical Process Monitoring #Fractional Differential Equations Solutions
- Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
2023/03/01 by Ye He, Tyler Farghly, He, Ye +5 · 2 citations
Engineering · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
- High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
2023/04/03 by Krishnakumar Balasubramanian, Balasubramanian, Krishnakumar, Promit Ghosal +3 · 2 citations
Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Probability (math.PR) #Statistics Theory (math.ST) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics
- Regularized Stein Variational Gradient Flow
2022/11/15 by Ye He, He, Ye, Krishnakumar Balasubramanian +5 · 1 citation
Engineering · #Advanced Numerical Analysis Techniques #Analysis of PDEs (math.AP) #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Numerical methods in engineering #Statistics Theory (math.ST)
- PreciseBugCollector: Extensible, Executable and Precise Bug-fix Collection
2023/09/12 by Ye He, Ye, He, Zimin Chen +3 · 1 citation
Computer Science · #FOS: Computer and information sciences #Programming Languages (cs.PL) #Software Engineering (cs.SE) #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
- ABot-N1: Toward a General Visual Language Navigation Foundation Model
2026/07/11 by Ruiyan Gong, Yingnan Guo, Junjun Hu +43
#cs.CV #cs.AI #cs.RO