Alexander B. Wiltschko

1. Composing graphical models with neural networks for structured representations and fast inference
   2016/03/20 by Matthew Johnson, David Duvenaud, Johnson, Matthew J. +7 · 61 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Neural Networks and Applications #Time Series Analysis and Forecasting
2. Leffingwell Odor Dataset
   2019/10/23 by Benjamín Sánchez-Lengeling, Jennifer N. Wei, Sanchez-Lengeling, Benjamin +9 · 2 voices · 10 citations
   Agricultural and Biological Sciences · Engineering · Neuroscience · #Advanced Chemical Sensor Technologies #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Insect Pheromone Research and Control #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Olfactory and Sensory Function Studies
3. A principal odor map unifies diverse tasks in olfactory perception
   2023/09/01 by Brian Lee, Emily J. Mayhew, Benjamín Sánchez-Lengeling +11 · 1 voice · 19 citations
   Agricultural and Biological Sciences · Engineering · Neuroscience · #Advanced Chemical Sensor Technologies #Insect Pheromone Research and Control #Olfactory and Sensory Function Studies
4. Avoiding a Tragedy of the Commons in the Peer Review Process
   2018/12/18 by D. Sculley, Sculley, D, Jasper Snoek +3 · 3 citations
   Decision Sciences · Medicine · #Computers and Society (cs.CY) #Digital Libraries (cs.DL) #Ethics in Clinical Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #scientometrics and bibliometrics research
5. Tangent: Automatic Differentiation Using Source Code Transformation in Python
   2017/11/07 by Bart van Merriënboer, Alexander B. Wiltschko, van Merriënboer, Bart +3 · 2 citations
   Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (stat.ML) #Mathematical Software (cs.MS) #Numerical Methods and Algorithms #Parallel Computing and Optimization Techniques
6. Tangent: Automatic differentiation using source-code transformation for\n dynamically typed array programming
   2018/09/25 by Bart van Merriënboer, Dan Moldovan, van Merriënboer, Bart +3 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Computational Physics and Python Applications #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Robotics and Sensor-Based Localization #Software Engineering (cs.SE)