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9 Publications


2021 | Conference Paper | IST-REx-ID: 11453 | OA
Braun, Lukas, and Tim P Vogels. “Online Learning of Neural Computations from Sparse Temporal Feedback.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 20:16437–50. Neural Information Processing Systems Foundation, 2021.
[Published Version] View | Download Published Version (ext.)
 

2021 | Conference Paper | IST-REx-ID: 11452 | OA
Alimisis, Foivos, Peter Davies, Bart Vandereycken, and Dan-Adrian Alistarh. “Distributed Principal Component Analysis with Limited Communication.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 4:2823–34. Neural Information Processing Systems Foundation, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 11463 | OA
Frantar, Elias, Eldar Kurtic, and Dan-Adrian Alistarh. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” In 35th Conference on Neural Information Processing Systems, 34:14873–86. Curran Associates, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 11464 | OA
Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” In 35th Conference on Neural Information Processing Systems, 34:7254–66. Curran Associates, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 11458 | OA
Peste, Elena-Alexandra, Eugenia B Iofinova, Adrian Vladu, and Dan-Adrian Alistarh. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” In 35th Conference on Neural Information Processing Systems, 34:8557–70. Curran Associates, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 10593 | OA
Mondelli, Marco, and Ramji Venkataramanan. “PCA Initialization for Approximate Message Passing in Rotationally Invariant Models.” In 35th Conference on Neural Information Processing Systems, 35:29616–29. Neural Information Processing Systems Foundation, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 10594 | OA
Nguyen, Quynh, Pierre Bréchet, and Marco Mondelli. “When Are Solutions Connected in Deep Networks?” In 35th Conference on Neural Information Processing Systems, Vol. 35. Neural Information Processing Systems Foundation, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 9633 | OA
Confavreux, Basile J, Friedemann Zenke, Everton J. Agnes, Timothy Lillicrap, and Tim P Vogels. “A Meta-Learning Approach to (Re)Discover Plasticity Rules That Carve a Desired Function into a Neural Network.” In Advances in Neural Information Processing Systems, 33:16398–408, 2020.
[Published Version] View | Files available | Download Published Version (ext.)
 

2019 | Conference Paper | IST-REx-ID: 7542 | OA
Wendler, Chris, Dan-Adrian Alistarh, and Markus Püschel. “Powerset Convolutional Neural Networks,” 32:927–38. Neural Information Processing Systems Foundation, 2019.
[Published Version] View | Download Published Version (ext.) | WoS | arXiv
 

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