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NeurIPS 2019
lanluo9 edited this page Sep 19, 2019
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| Presenter | Authors | Paper & Blurb |
|---|---|---|
| Sam Yin | Gabriel Loaiza-Ganem, Sean M. Perkins, Karen E. Schroeder, Mark M. Churchland, John P. Cunningham | Deep Random Splines for Point Process Intensity Estimation of Neural Population Data |
| Anne Draelos | S. Arnold, P.-A. Manzagol, R. Babanezhad, I. Mitliagkas, N. Le Roux | Reducing the variance in online optimization by transporting past gradients |
| Jack Goffinet | Trevor Campbell, Boyan Beronov | Sparse Variational Inference: Bayesian Coresets from Scratch |
| Chaichontat Sriworarat | C. Schröder, L. Lagnado, B. James, P. Berens | Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse |
| Pranjal Gupta | David G. Clark, Jesse A. Livezey, Kristofer E. Bouchard | Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis |
| Lan Luo | Mariya Toneva, Leila Wehbe | Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). Slides |
| Seth MK | Amir Dezfouli, Hassan Ashtiani, Omar Ghattas, Richard Nock, Peter Dayan, Cheng Soon Ong | Disentangled behavioral representations |
| Kevin O'Neill | Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari | Discovering Neural Wirings |
| Na Young Jun | Niru Maheswaranathan, Alex H Williams, Matthew Golub, Surya Ganguli, David Sussillo | Universality and individuality in neural dynamics across large populations of recurrent networks |