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05/08/2023
Reducing Reconfiguration Time in Hybrid Optical-Electrical Datacenter Networks (Extended Abstract)
We study how to reduce the reconfiguration time in hybrid optical-electr...
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10/14/2022
Revisiting Heterophily For Graph Neural Networks
Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using...
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10/08/2022
Constrained Optimal Querying: Huffman Coding and Beyond
Huffman coding is well known to be useful in certain decision problems i...
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07/13/2022
N-Grammer: Augmenting Transformers with latent n-grams
Transformer models have recently emerged as one of the foundational mode...
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09/12/2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
Graph Neural Networks (GNNs) extend basic Neural Networks (NNs) by using...
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06/03/2021
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
We present an end-to-end, model-based deep reinforcement learning agent ...
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11/06/2019
A comparison of end-to-end models for long-form speech recognition
End-to-end automatic speech recognition (ASR) models, including both att...
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02/21/2019
