Wendler, Chris

10 publications

ICLR 2025 Controllable Context Sensitivity and the Knob Behind It Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell

NeurIPS 2025 One-Step Is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models Viacheslav Surkov, Chris Wendler, Antonio Mari, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre, David Bau

CLeaR 2025 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

NeurIPS 2025 Zip2zip: Inference-Time Adaptive Tokenization via Online Compression Saibo Geng, Nathan Ranchin, Yunzhen Yao, Maxime Peyrard, Chris Wendler, Michael Gastpar, Robert West

ICMLW 2024 How Do Llamas Process Multilingual Text? a Latent Exploration Through Activation Patching Clément Dumas, Veniamin Veselovsky, Giovanni Monea, Robert West, Chris Wendler

NeurIPS 2023 Learning DAGs from Data with Few Root Causes Panagiotis Misiakos, Chris Wendler, Markus Püschel

IJCAI 2022 Fourier Analysis-Based Iterative Combinatorial Auctions Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Püschel

ICLRW 2022 Learning Fourier-Sparse Functions on DAGs Bastian Seifert, Chris Wendler, Markus Püschel

AAAI 2021 Learning Set Functions That Are Sparse in Non-Orthogonal Fourier Bases Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel

NeurIPS 2019 Powerset Convolutional Neural Networks Chris Wendler, Markus Püschel, Dan Alistarh