Alex Anderson

Hello everybody, my name is Alex and I am a Ph.D. Candidate at UC Berkeley working with Bruno Olshausen in the Redwood Center. I am funded through the NSF GRFP and a research grant. I use machine learning to understand human vision and organize events to improve my community.

In the summer of 2016, I interned at Oculus Research. In the past, I graduated summa cum laude at Washington University in St. Louis with a double major in math and physics. I did my undergraduate thesis with Carl Bender. Before that, I enjoyed high school math competitions.

LinkedIn | GitHub | Email | Resume

Projects

Technical Report: The High Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson, Cory P. Berg arxiv (May 23rd 2017)
A theoretical framework for understanding why we can reduce neural network weights and activations from 32 bits to one bit and have little loss in performance. Paper
Poster Presentation: The High Dimensional Geometry of Binary Neural Networks
Alexander G. Anderson, Cory P. Berg International Conference on Learning Representations (ICLR) (April 24th-26th 2017)
Due to the high dimensional geometry of binary vectors, continuous feature vectors can be well-approximated by binary vectors. This gives a theoretical foundation for the success of the Courbariaux, Hubara, et al. method of training neural networks with binary weights and activations. The theory is also validated in such networks. Paper and Review
Summer Internship and Patent: Predictive Eye Tracking Using Recurrent Neural Networks
Alex Anderson, Alex Fix, Rob Cavin, Aaron Nicholls Oculus Perceptual Science Team (Summer 2016)
State of the art eye movement prediction using RNNs, including a new architecture for dealing with noisy data. [figure shows unrelated data from the Roorda Lab] Paper in Progress
Conference Proceedings: A Neural Model of High Acuity Vision in the Presence of Fixational Eye Movements
Alex Anderson, Kavitha Ratnam, Austin Roorda, Bruno Olshausen Asilomar Conference on Signals, Systems, and Computers (Nov 2016)
Model corroborates psychophysical results on benefits of motion for high-acuity vision. Paper
Journal Article: Excess of mutational jackpot events in growing populations due to gene surfing
Diana Fusco, Matti Gralka, Jona Kayser, Alex Anderson, Oskar Hallatschek Nature Communications (Oct 2016)
Mutations propagate differently throughout a population depending on the spatial structure of the habitat. Paper
Technical Report/Class Project: DeepMovie Using Optical Flow and Deep Neural Networks to Stylize Movies
Alexander G. Anderson, Cory P. Berg, Daniel P. Mossing, Bruno A. Olshausen Berkeley (May 2016)
Style Transfer for Movies. See the Video for a clip of Star Wars in the Art Style of Vincent Van Gogh Paper . Video
Personal Project: Artistic Style Transfer in TensorFlow
Alexander G. Anderson Berkeley (2016)
Implementation of Artistic Style Transfer in TensorFlow Another Photo
Conference Poster: Modeling High Acuity Vision in the Presence of Fixational Eye Movements
Alexander G. Anderson, Bruno Olshausen COSYNE (2016)
Poster at Main Conference for Computational Neuroscience
Conference Presentation: High Acuity Vision in the Presence of Fixational Eye Movements
Alexander G. Anderson, Bruno Olshausen UC Berkeley Neuroscience Conference (2015)
Presentation on main research
Conference Poster: High Acuity Vision in the Presence of Fixational Eye Movements
Alexander G. Anderson, Bruno Olshausen MSRI Theory of Neural Computation Workshop (Oct, 2015)
Tutorial: Sparse Coding Tutorial
Alexander G. Anderson, Jesse Livezey, Guy Isley, Charles Frye Redwood Center for Theoretical Neuroscience (July, 2015)
Co-wrote code and led a tutorial on Sparse Coding for incoming Berkeley Neuroscience students. Link
Class Project: Analyzing the Internal Dynamics of a LSTM Trained to Solve the Reber Grammar
Alexander G. Anderson Redwood Center for Theoretical Neuroscience (2014)
Implemented a LSTM in theano and analyzed the hidden dynamics that give rise to the solution of the Reber Grammar problem.
Class Project: Parameter Sensitivity for MIRT Models
Alexander G. Anderson, Eliana Feasley (2014)
Final project for a class on graphical modeling. Understood and modified a codebase that used EM (expectation-maximization) to predict student performance on math questions.
Graduate Research Rotation Project: Standing Variation in 2D Range Expansions
Alexander G. Anderson, Matti Gralka, Oskar Hallatschek University of California, Berkeley (2014)
Used a combination of simulations and theory to study the statistical properties of populations that populate a two-dimensional space.
Journal Article: Complex Trajectories in a Classical Periodic Potential
Alexander G Anderson and Carl M Bender Journal of Physics A Mathematical and Theoretical (2012)
Journal Article: Periodic Orbits for Classical Particles Having Complex Energy
Alexander G Anderson, Carl M Bender, and Uriel I. Morone Physics Letters A (2011)
Independent Project: The Algebra of Noncommutative Operators
Alexander G. Anderson, Henry Maltby, Jing Jing Li Berkeley Math Tournament Power Round (2013)
A proof-based round for a high school math contest about an important mathematical tool used in quantum mechanics. Problems | Solutions
Curriculum Design: AwesomeMath Summer Course in Intermediate Geometry
Alexander G. Anderson, Joseph Tkadlec AwesomeMath Summer Camp (2010, 2012)
Fourteen ninty minute lectures and ninty minute problem solving sessions for high school students excited about math competitions.
Summer Research: Phase Determination of Multilayer Mirrors using the Kramers-Kronig Relations
Alexander G. Anderson, Charles Bourassin-Bouchet, Sebastien de Rossi, Franck Delmotte (2011)
Determined that a potential new method of characterizing Multilayer mirrors was infeasible.
Class Project: Isolation and Characterization of Mycobacteriophage Uncle Howie
Alexander G. Anderson Phage Hunters Class (2008)