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Markus Püschel

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

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Aug 29, 2023
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QIGen: Generating Efficient Kernels for Quantized Inference on Large Language Models

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Jul 07, 2023
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Learning DAGs from Data with Few Root Causes

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May 25, 2023
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Causal Fourier Analysis on Directed Acyclic Graphs and Posets

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Sep 16, 2022
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Precise Multi-Neuron Abstractions for Neural Network Certification

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Mar 05, 2021
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Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases

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Oct 01, 2020
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Neural Network Robustness Verification on GPUs

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Jul 20, 2020
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Discrete Signal Processing with Set Functions

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Jan 28, 2020
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Powerset Convolutional Neural Networks

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Oct 04, 2019
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On Linear Learning with Manycore Processors

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May 03, 2019
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