Austin Dill
Machine Learning Research Engineer
245 Melwood Avenue
Apartment 606
Pittsburgh, PA 15213
About Me
I’m a recent masters graduate from the Machine Learning Department at Carnegie Mellon University in Pittsburgh, PA. I was fortunate enough to be advised by Eunsu Kang and Barnabas Poczos. I’m currently working with Barnabas Poczos on monocular depth estimation from aerial images.
Research Interests
I’m broadly interested in generative models, deep learning, and learning theory. On the applications side, I’m most interested in natural language processing, computational creativity, and public policy.
Previously
Before graduate school, I received my undergraduate degree in computer science from the Georgia Institute of Technology in my hometown of Atlanta, GA.
news
| Jan 15, 2020 | I accepted a job to continue my work with Barnabas at CMU. |
| Dec 19, 2019 | I graduated from Carnegie Mellon with my master’s degree in Machine Learning! |
| Oct 19, 2019 | My paper on sculpture generation using point clouds was accepted to the NeurIPS Workshop on Machine Learning for Creativity and Design 2019. |
| Oct 19, 2019 | My paper on joint mesh and point cloud generation was accepted to the NeurIPS Workshop on Sets and Partitions 2019. |