Chris Wendler

According to our database, Chris Wendler authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Do Llamas Work in English? On the Latent Language of Multilingual Transformers.

Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West

CoRR, 2024

Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access.

Saibo Geng, Berkay Döner, Chris Wendler, Martin Josifoski, Robert West

CoRR, 2024

2023

Machine learning on non-Euclidean domains: Powersets, lattices, posets.

Chris Wendler

PhD thesis, 2023

Causal Fourier Analysis on Directed Acyclic Graphs and Posets.

Bastian Seifert, Chris Wendler, Markus Püschel

IEEE Trans. Signal Process., 2023

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.

Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab

CoRR, 2023

Learning DAGs from Data with Few Root Causes.

Panagiotis Misiakos, Chris Wendler, Markus Püschel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Instance-wise algorithm configuration with graph neural networks.

Romeo Valentin, Claudio Ferrari, Jérémy Scheurer, Andisheh Amrollahi, Chris Wendler, Max B. Paulus

CoRR, 2022

Fourier Analysis-based Iterative Combinatorial Auctions.

Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Püschel

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Discrete Signal Processing with Set Functions.

Markus Püschel, Chris Wendler

IEEE Trans. Signal Process., 2021

Discrete Signal Processing on Meet/Join Lattices.

Markus Püschel, Bastian Seifert, Chris Wendler

IEEE Trans. Signal Process., 2021

Wiener Filter on Meet/Join Lattices.

Bastian Seifert, Chris Wendler, Markus Püschel

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases.

Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Diagonalizable Shift and Filters for Directed Graphs Based on the Jordan-Chevalley Decomposition.

Panagiotis Misiakos, Chris Wendler, Markus Püschel

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Powerset Convolutional Neural Networks.

Chris Wendler, Markus Püschel, Dan Alistarh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sampling Signals On Meet/Join Lattices.

Chris Wendler, Markus Püschel

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019