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Machine Learning
For seminar recording, please click here Talk Title: Modern Hopfield Networks for Novel Transformer Architectures  Abstract: Modern Hopfield Networks or Dense Associative Memories are recurrent neural networks with fixed point attractor states that are described by an energy function. In contrast to conventional Hopfield Networks, which were popular in the 1980s, their modern versions have...
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For seminar recording click here Talk Title: Latent States of Brains and Behavior Abstract: New recording technologies are transforming neuroscience, allowing us to measure the spiking activity of thousands of neurons in freely behaving animals. These technologies offer exciting opportunities to link brain activity to behavioral output, but they also pose serious statistical challenges. Neural...
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Meeting Recording: https://web.microsoftstream.com/video/c84847fc-b1d2-4ec2-a7c3-5243f063cc3f Talk Title: Learning Interpretable Models on Complex Medical Data Abstract: Machine learning as a field has become more and more important due to the ubiquity of data collection in various disciplines. Coupled with this data collection is the hope that new discoveries or knowledge can be learned. My research spans both fundamental...
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