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Jan Pfeifer
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2020 – today
- 2024
- [c6]Noëlle Rakotondravony, Henrich C. Pöhls, Jan Pfeifer, Lane Harrison:
Viz4NetSec: Visualizing Dynamic Network Security Configurations of Everyday Interconnected Objects in Home Networks. HCI (46) 2024: 164-185 - 2023
- [c5]Mathieu Guillame-Bert
, Sebastian Bruch
, Richard Stotz
, Jan Pfeifer
:
Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. KDD 2023: 4068-4077 - 2022
- [i8]Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin, Kevin Villela, Lisa Wang, David Wong, Bryan Perozzi:
TF-GNN: Graph Neural Networks in TensorFlow. CoRR abs/2207.03522 (2022) - [i7]Mathieu Guillame-Bert, Sebastian Bruch
, Richard Stotz, Jan Pfeifer:
Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. CoRR abs/2212.02934 (2022) - 2020
- [i6]Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-Bert:
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation. CoRR abs/2007.14761 (2020) - [i5]Mathieu Guillame-Bert, Sebastian Bruch, Petr Mitrichev, Petr Mikheev, Jan Pfeifer:
Modeling Text with Decision Forests using Categorical-Set Splits. CoRR abs/2009.09991 (2020)
2010 – 2019
- 2019
- [c4]Rama Kumar Pasumarthi, Sebastian Bruch
, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. KDD 2019: 2970-2978 - 2018
- [i4]Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork
, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf:
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. CoRR abs/1812.00073 (2018) - 2017
- [c3]Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta:
Deep Lattice Networks and Partial Monotonic Functions. NIPS 2017: 2981-2989 - [i3]Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta:
Deep Lattice Networks and Partial Monotonic Functions. CoRR abs/1709.06680 (2017) - 2016
- [j1]Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski
, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski, Alexander Van Esbroeck:
Monotonic Calibrated Interpolated Look-Up Tables. J. Mach. Learn. Res. 17: 109:1-109:47 (2016) - [c2]Andrew Cotter, Maya R. Gupta, Jan Pfeifer:
A Light Touch for Heavily Constrained SGD. COLT 2016: 729-771 - [c1]Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter, Jan Pfeifer, Maya R. Gupta:
Fast and Flexible Monotonic Functions with Ensembles of Lattices. NIPS 2016: 2919-2927 - 2015
- [i2]Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski:
Monotonic Calibrated Interpolated Look-Up Tables. CoRR abs/1505.06378 (2015) - [i1]Andrew Cotter, Maya R. Gupta, Jan Pfeifer:
A Light Touch for Heavily Constrained SGD. CoRR abs/1512.04960 (2015)
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last updated on 2024-06-13 20:58 CEST by the dblp team
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