papers

• Tokenized Action Space Decision Transformer
  • Accepted at AAAI 2024 (workshop)
• Challenges of Self-Supervised Learning for Unified, Multi-Modal, Multi-Task Transformer Models
  • Accepted at CSCI 2022
• Detecting Adversarial Attacks Through Neural Activations
  • Accepted at workshop for ICLR 2021

other

neural niche

novel ideas for generative neural networks including:

• using generative neural nets in keras to create ‘on-the-fly’ dialogue
• dockerfile for tensorflow 0.7 with python3 on gpu
• basics of setting up a containerized telegram bot

other:

• Using Kubernete Jobs for one off ingestion of CSV’s

How to Denoise Images with Neural Networks (2016)

Simple Transfer Learning Tutorial (2016)

iMessage dashboard visualization (2015)

• interactive visualization tool for iMessage built using dc.js and crossfilter

kaggle bike project (2014)

• old exploration and ipynb of a kaggle competition
• ipython notebook

previous classwork

uw amath (2018-2019)

• Data Analysis of GAN Images With Traditional Data Analysis Methods

  • Using Traditional Supervised Learning Methods and Spectral Analysis to analyze images generated with Deep Learning GAN models

• IPYNB Overview of Methods and Topics for Scientific Computing Course

cu appm (2013)

• Stochastic Modeling Of Pseudomonos Syringae Growth
  • final project: recreation of mathematical model in matlab incorporating random numbers, stochastic simulations and population carrying capacity
  • Old Link - Broken
• Network Models: Firing Rate, Feedforward And Recurrent Models
  • long before I had much knowledge or even knew what deep learning was, did a project based on mathematical modeling of neural systems.
  • Old Link - Broken

econ (2013)

• mathematica notebook on heston model