Poster
|
Mon 18:30
|
Mean Field Residual Networks: On the Edge of Chaos
Ge Yang · Samuel Schoenholz
|
|
Workshop
|
Fri 13:50
|
Learning on topological and geometrical structures of data.
Kenji Fukumizu
|
|
Workshop
|
Fri 14:35
|
Learning High-Dimensional DAGs: Provable Statistical Guarantees and Scalable Approximation
|
|
Workshop
|
Fri 8:00
|
Deep Learning for Physical Sciences
Atilim Gunes Baydin · Mr. Prabhat · Kyle Cranmer · Frank Wood
|
|
Workshop
|
Fri 17:20
|
Contributed talk 6: Physics-guided Learning of Neural Networks: An Application in Lake Temperature Modeling
Anuj Karpatne
|
|
Workshop
|
Sat 17:25
|
bossDB: A Petascale Database for Large-Scale Neuroscience Informing Machine Learning
Nathan Drenkow
|
|
Poster
|
Mon 18:30
|
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
Alyson Fletcher · Mojtaba Sahraee-Ardakan · Sundeep Rangan · Philip Schniter
|
|
Workshop
|
Fri 16:00
|
Invited talk 4: A machine learning perspective on the many-body problem in classical and quantum physics
Juan Carrasquilla
|
|
Poster
|
Wed 18:30
|
Learning to See Physics via Visual De-animation
Jiajun Wu · Erika Lu · Pushmeet Kohli · Bill Freeman · Josh Tenenbaum
|
|
Poster
|
Wed 18:30
|
The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang · Yue Lu
|
|
Poster
|
Tue 18:30
|
Visual Interaction Networks: Learning a Physics Simulator from Video
Nicholas Watters · Daniel Zoran · Theophane Weber · Peter Battaglia · Razvan Pascanu · Andrea Tacchetti
|
|
Poster
|
Tue 18:30
|
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
Fei Xia · Martin J Zhang · James Zou · David Tse
|
|