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Amitabh Basu

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Data-driven algorithm design using neural networks with applications to branch-and-cut

Feb 04, 2024
Hongyu Cheng, Sammy Khalife, Barbara Fiedorowicz, Amitabh Basu

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On the power of graph neural networks and the role of the activation function

Jul 10, 2023
Sammy Khalife, Amitabh Basu

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Neural networks with linear threshold activations: structure and algorithms

Nov 15, 2021
Sammy Khalife, Amitabh Basu

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Leveraging semantically similar queries for ranking via combining representations

Jun 23, 2021
Hayden S. Helm, Marah Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, Piali~Choudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe

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Towards Lower Bounds on the Depth of ReLU Neural Networks

May 31, 2021
Christoph Hertrich, Amitabh Basu, Marco Di Summa, Martin Skutella

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Learning to rank via combining representations

May 20, 2020
Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E. Priebe

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Understanding Deep Neural Networks with Rectified Linear Units

Feb 28, 2018
Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee

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Lower bounds over Boolean inputs for deep neural networks with ReLU gates

Nov 09, 2017
Anirbit Mukherjee, Amitabh Basu

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Sparse Coding and Autoencoders

Oct 20, 2017
Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Tejaswini Ganapathy, Ashish Arora, Sang Chin, Trac D. Tran

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