353 citations
- University of TorontoCA7 papers
- University of CambridgeGB3 papers
- University of Central FloridaUS3 papers
- Amazon (Germany)DE2 papers
- Meta (Israel)IL2 papers
- OpenAI (United States)US2 papers
- University of AmsterdamNL2 papers
- University of WaterlooCA2 papers
- Aalborg UniversityDK1 paper
- Acellent Technologies (United States)US1 paper
- AIT Austrian Institute of Technology GmbHAT1 paper
- Ames Research CenterUS1 paper
5 papers · 1 filter
Denotational validation of higher-order Bayesian inference
Adam Ścibior, Ohad Kammar, Matthijs Vákár +7
We present a modular semantic account of Bayesian inference algorithms for probabilistic programming languages, as used in data science and machine learning. Sophisticated inferenc…
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu, Nikolay Laptev
Reliable uncertainty estimation for time series prediction is critical in many fields, including physics, biology, and manufacturing. At Uber, probabilistic time series forecasting…
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
Maithra Raghu, Justin Gilmer, Jason Yosinski +1
We propose a new technique, Singular Vector Canonical Correlation Analysis (SVCCA), a tool for quickly comparing two representations in a way that is both invariant to affine trans…
Prostate Cancer Diagnosis using Deep Learning with 3D Multiparametric MRI
Saifeng Liu, Huaixiu Zheng, Yesu Feng +1
A novel deep learning architecture (XmasNet) based on convolutional neural networks was developed for the classification of prostate cancer lesions, using the 3D multiparametric MR…
Space-Time Graph Modeling of Ride Requests Based on Real-World Data
Abhinav Jauhri, Brian Foo, Jerome Berclaz +4
This paper focuses on modeling ride requests and their variations over location and time, based on analyzing extensive real-world data from a ride-sharing service. We introduce a g…