Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces
Benyamin Allahgholizadeh Haghi, Spencer Kellis, Sahil Shah, Maitreyi Ashok, Luke Bashford, Daniel Kramer, Brian Lee, Charles Liu, Richard Andersen, Azita Emami
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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Preference Alignment with Flow Matching Minu Kim 1 Y ongsik Lee
Neural Information Processing Systems
We provide theoretical insights that support our method's alignment with standard preference alignment objectives.
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