Jan Pfeifer

According to our database, Jan Pfeifer authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Viz⁴NetSec: Visualizing Dynamic Network Security Configurations of Everyday Interconnected Objects in Home Networks.

Noëlle Rakotondravony, Henrich C. Pöhls, Jan Pfeifer, Lane Harrison

Proceedings of the HCI for Cybersecurity, Privacy and Trust, 2024

2023

Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library.

Mathieu Guillame-Bert, Sebastian Bruch, Richard Stotz, Jan Pfeifer

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

TF-GNN: Graph Neural Networks in TensorFlow.

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

CoRR, 2022

2020

Modeling Text with Decision Forests using Categorical-Set Splits.

Mathieu Guillame-Bert, Sebastian Bruch, Petr Mitrichev, Petr Mikheev, Jan Pfeifer

CoRR, 2020

Learning Representations for Axis-Aligned Decision Forests through Input Perturbation.

Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-Bert

CoRR, 2020

2019

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank.

Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2017

Deep Lattice Networks and Partial Monotonic Functions.

Seungil You, David Ding, Kevin Robert Canini, Jan Pfeifer, Maya R. Gupta

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Monotonic Calibrated Interpolated Look-Up Tables.

Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski, Alexander Van Esbroeck

J. Mach. Learn. Res., 2016

Fast and Flexible Monotonic Functions with Ensembles of Lattices.

Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter, Jan Pfeifer, Maya R. Gupta

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Light Touch for Heavily Constrained SGD.

Andrew Cotter, Maya R. Gupta, Jan Pfeifer

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Monotonic Calibrated Interpolated Look-Up Tables.

Maya R. Gupta, Andrew Cotter, Jan Pfeifer, Konstantin Voevodski, Kevin Robert Canini, Alexander Mangylov, Wojtek Moczydlowski

CoRR, 2015