Chris Wendler

According to our database, Chris Wendler authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

zip2zip: Inference-Time Adaptive Vocabularies for Language Models via Token Compression.

Saibo Geng, Nathan Ranchin, Yunzhen yao, Maxime Peyrard, Chris Wendler, Michael Gastpar, Robert West

CoRR, June, 2025

Discovering Forbidden Topics in Language Models.

Can Rager, Chris Wendler, Rohit Gandikota, David Bau

CoRR, May, 2025

The Geometry of Self-Verification in a Task-Specific Reasoning Model.

Andrew Lee, Lihao Sun, Chris Wendler, Fernanda B. Viégas, Martin Wattenberg

CoRR, April, 2025

Localized Cultural Knowledge is Conserved and Controllable in Large Language Models.

Veniamin Veselovsky, Berke Argin, Benedikt Stroebl, Chris Wendler, Robert West, James Evans, Thomas L. Griffiths, Arvind Narayanan

CoRR, April, 2025

Controlling Latent Diffusion Using Latent CLIP.

Jason Becker, Chris Wendler, Peter Baylies, Robert West, Christian Wressnegger

CoRR, March, 2025

Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages.

Jannik Brinkmann, Chris Wendler, Christian Bartelt, Aaron Mueller

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Controllable Context Sensitivity and the Knob Behind It.

Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Byte BPE Tokenization as an Inverse string Homomorphism.

Saibo Geng, Sankalp Gambhir, Chris Wendler, Robert West

CoRR, 2024

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers.

Clément Dumas, Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West

CoRR, 2024

Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders.

Viacheslav Surkov, Chris Wendler, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre

CoRR, 2024

Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping.

Wenhao Zhu, Sizhe Liu, Shujian Huang, Shuaijie She, Chris Wendler, Jiajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 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 H. 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