Hello! This is the personal website of Adam Lesnikowski.
I am very interested in machine learning, active learning, deep learning, and AI. I am espeically interested in computer vision applications.
I've been at NVIDIA in Santa Clara, CA since the beginning of 2017. I am a Machine Learning Scientist working on creating optimal data sets and learning with limited labels. Towards this we are using techniques from the active learning, uncertainty and Bayesian deep learning communities, among others. I've very excited to be working on these problems with a great and passionate group of people!
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization, NuerIPS Workshop 2018.
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles, arXiv preprint 2018.
I did my graduate work at UC Berkeley, where I was worked on mathmatical logic, model theory and large cardinals. Before that, I was at the University of Amsterdam's ILLC working on mathmatical logic, CS theory and AI. For my undergrad studies, I went to Harvard University, where I studied mathematics and philosophy.
You can also follow me on Twitter @lesnikow!