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2020 – today
- 2024
[c10]Saibo Geng, Berkay Döner, Chris Wendler, Martin Josifoski, Robert West:
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access. ACL (Short Papers) 2024: 234-245- [c9]Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West:
Do Llamas Work in English? On the Latent Language of Multilingual Transformers. ACL (1) 2024: 15366-15394 - [c8]Wenhao Zhu, Sizhe Liu, Shujian Huang, Shuaijie She, Chris Wendler, Jiajun Chen:
Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping. EMNLP (Findings) 2024: 8775-8782 - [i16]Saibo Geng, Berkay Döner, Chris Wendler, Martin Josifoski, Robert West:
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access. CoRR abs/2401.09967 (2024) - [i15]Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West:
Do Llamas Work in English? On the Latent Language of Multilingual Transformers. CoRR abs/2402.10588 (2024) - [i14]Wenhao Zhu, Sizhe Liu, Shujian Huang, Shuaijie She, Chris Wendler, Jiajun Chen:
Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping. CoRR abs/2407.10795 (2024) - [i13]Viacheslav Surkov, Chris Wendler, Mikhail Terekhov, Justin Deschenaux, Robert West, Caglar Gulcehre:
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders. CoRR abs/2410.22366 (2024) - [i12]Julian Minder, Kevin Du, Niklas Stoehr, Giovanni Monea, Chris Wendler, Robert West, Ryan Cotterell:
Controllable Context Sensitivity and the Knob Behind It. CoRR abs/2411.07404 (2024) - [i11]Clément Dumas, Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West:
Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers. CoRR abs/2411.08745 (2024) - [i10]Saibo Geng, Sankalp Gambhir, Chris Wendler, Robert West:
Byte BPE Tokenization as an Inverse string Homomorphism. CoRR abs/2412.03160 (2024) - 2023
- [b1]Chris Wendler:
Machine learning on non-Euclidean domains: Powersets, lattices, posets. ETH Zurich, Zürich, Switzerland, 2023 - [j3]Bastian Seifert
, Chris Wendler, Markus Püschel:
Causal Fourier Analysis on Directed Acyclic Graphs and Posets. IEEE Trans. Signal Process. 71: 3805-3820 (2023) - [c7]Panagiotis Misiakos, Chris Wendler, Markus Püschel:
Learning DAGs from Data with Few Root Causes. NeurIPS 2023 - [i9]Panagiotis Misiakos, Chris Wendler, Markus Püschel:
Learning DAGs from Data with Few Root Causes. CoRR abs/2305.15936 (2023) - [i8]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:
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR abs/2308.15395 (2023) - 2022
- [c6]Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Püschel:
Fourier Analysis-based Iterative Combinatorial Auctions. IJCAI 2022: 549-556 - [i7]Romeo Valentin, Claudio Ferrari, Jérémy Scheurer, Andisheh Amrollahi, Chris Wendler, Max B. Paulus:
Instance-wise algorithm configuration with graph neural networks. CoRR abs/2202.04910 (2022) - [i6]Bastian Seifert, Chris Wendler, Markus Püschel:
Causal Fourier Analysis on Directed Acyclic Graphs and Posets. CoRR abs/2209.07970 (2022) - 2021
- [j2]Markus Püschel, Chris Wendler:
Discrete Signal Processing with Set Functions. IEEE Trans. Signal Process. 69: 1039-1053 (2021) - [j1]Markus Püschel, Bastian Seifert, Chris Wendler:
Discrete Signal Processing on Meet/Join Lattices. IEEE Trans. Signal Process. 69: 3571-3584 (2021) - [c5]Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel:
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases. AAAI 2021: 10283-10292 - [c4]Bastian Seifert, Chris Wendler, Markus Püschel:
Wiener Filter on Meet/Join Lattices. ICASSP 2021: 5355-5359 - 2020
- [c3]Panagiotis Misiakos, Chris Wendler, Markus Püschel:
Diagonalizable Shift and Filters for Directed Graphs Based on the Jordan-Chevalley Decomposition. ICASSP 2020: 5635-5639 - [i5]Markus Püschel, Chris Wendler:
Discrete Signal Processing with Set Functions. CoRR abs/2001.10290 (2020) - [i4]Jakob Weissteiner, Chris Wendler, Sven Seuken, Benjamin Lubin, Markus Püschel:
Fourier Analysis-based Iterative Combinatorial Auctions. CoRR abs/2009.10749 (2020) - [i3]Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel:
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases. CoRR abs/2010.00439 (2020) - [i2]Markus Püschel, Bastian Seifert, Chris Wendler:
Discrete Signal Processing on Meet/Join Lattices. CoRR abs/2012.04358 (2020)
2010 – 2019
- 2019
- [c2]Chris Wendler, Markus Püschel:
Sampling Signals On Meet/Join Lattices. GlobalSIP 2019: 1-5 - [c1]Chris Wendler, Markus Püschel, Dan Alistarh:
Powerset Convolutional Neural Networks. NeurIPS 2019: 927-938 - [i1]Chris Wendler, Dan Alistarh, Markus Püschel:
Powerset Convolutional Neural Networks. CoRR abs/1909.02253 (2019)
Coauthor Index
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