firstbacksecondback
322 Results
|
Workshop
|
Machine-learned climate model corrections from a global storm-resolving model Anna Kwa |
||
|
Workshop
|
A hybrid Reduced Basis and Machine-Learning algorithm for building Surrogate Models: a first application to electromagnetism Alejandro Ribes · Ruben Persicot · Lucas Meyer · Jean-Pierre Ducreux |
||
|
Workshop
|
Sat 7:35 |
Machine-learning, distribution shifts and extrapolation in the Earth System Markus Reichstein |
|
|
Affinity Workshop
|
Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images Simon Mekit · Kokeb Dese Gebremeskel |
||
|
Poster
|
Tue 9:00 |
A composable machine-learning approach for steady-state simulations on high-resolution grids Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak |
|
|
Workshop
|
Robustifying machine-learned algorithms for efficient grid operation Nicolas Christianson · Christopher Yeh · Tongxin Li · Mahdi Torabi Rad · Azarang Golmohammadi · Adam Wierman |
||
|
Poster
|
Thu 14:00 |
Black-box coreset variational inference Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos |
|
|
Workshop
|
Learning from Data through Human-Machine Collaboration Sara Pido · Pietro Crovari · Pietro Pinoli |
||
|
Poster
|
Thu 14:00 |
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization Siddharth Reddy · Sergey Levine · Anca Dragan |
|
|
Workshop
|
Associative memory via covariance-learning predictive coding networks Mufeng Tang · Tommaso Salvatori · Yuhang Song · Beren Millidge · Thomas Lukasiewicz · Rafal Bogacz |
||
|
Poster
|
Thu 14:00 |
Using natural language and program abstractions to instill human inductive biases in machines Sreejan Kumar · Carlos G. Correa · Ishita Dasgupta · Raja Marjieh · Michael Y Hu · Robert Hawkins · Jonathan D Cohen · nathaniel daw · Karthik Narasimhan · Tom Griffiths |
|
|
Affinity Workshop
|
Predictive Multiplicity in Probabilistic Classification Jamelle Watson-Daniels · David Parkes · Berk Ustun |