Name: Binxu
Type: User
Company: Kempner Institute at Harvard
Bio: Research Fellow @KempnerInstitute @Harvard, PhD in System Neuro @PonceLab. generative models, NN, and optimization to understand brain
Prev: Louis Tao lab@PKU
Twitter: WangBinxu
Location: Boston
Blog: https://animadversio.github.io
Binxu's Projects
Analyzing 2p in vivo primate V1 population neural response to shapes and natural stimuli
Generate image stimuli by Activation Maximization (using derivative free optimization methods) for DCNN and macaque visual system
Code and Figures for "Active learning of spin network models"
The official repo for GECCO 2022 paper High-Performance Evolutionary Algorithms for Online Neuronal Control in vivo and in silico
A beautiful, simple, clean, and responsive Jekyll theme for academics
Convenience wrapper for image registration using the Advanced Normalization Tools
Arxiv latex paper submission helper
A collection of resources and papers on Diffusion Models
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
recreation and expansion of Advance Wars in Java with GridWorld API
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
Python scripts for rendering images using Blender 2.80+ from command-line interface
Blender render script for ShapeNet models
Produces a list of Blender API commands to make a 3d model of a pytorch model.
Lecture on Bootstrap for WashU Neuro Course "Coding and Statistical Thinking in Neuroscience" 2020
Treat colors as if they are n-vectors for the purposes of arithmetic
An interactive conic visualization app used to record this video.
The Singular Values of Convolutional Layers
ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks. Dissection and feature visualization
Using Vision transformer's attention head to measure and visualize the similarity of two images. (prototype evolved by DeePSim and BigGAN)
Introduction to AI course assignment at Berkeley in spring 2019
Code examples in pyTorch and Tensorflow for CS230
An open source reinforcement learning codebase with a variety of intrinsic exploration methods implemented in PyTorch.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch