PhD student, Computational Vision Lab, California Institute of Technology
Bayesian Modelling, Computer Vision, Deep Learning, Causality,
Gaussian Processes, Active Learning, Neuroscience, MCMC
Member of the Computation and Neural Systems program
- Publications and Research
- CV (pdf, updated May 2016.)
- My Science Notes and Textbook Solutions
2016: I added easy-to-use IPython Notebook demonstration of Causal Feature Learning here.
2016: A recent collaboration with Tobi Bischoff from the climate science department, "Unsupervised
Discovery of El Niño Using Causal Feature Learning on Microlevel Climate Data" will be a plenary presentation at UAI 2016!
2016: My bio-oriented project Generalized Regressive Motion: a Visual Cue to Collision got published in Bioinspiration and Biomimetics.
2015: Multi-Level Cause-Effect Systems got accepted at AISTATS 2016!
2015: Visual Causal Feature Learning got accepted at UAI 2015 as a plenary presentation!
2014: Ron Appel and I won the Qualcomm Innovation Fellowship 2014 !