Publications

Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

June 17 , 2023

https://doi.ieeecomputersociety.org/10.1109/CVPR52729.2023.01549

Gencer Sumbul, Begüm Demir

Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning

June 14 , 2023

https://arxiv.org/pdf/2212.01261.pdf

Gencer Sumbul, Begüm Demir

Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing

June 14 , 2023

https://arxiv.org/abs/2306.08575

Kajetan Maliszewski, Tilman Dietzel, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

TeeBench: Seamless Benchmarking in Trusted Execution Environments

June 05 , 2023

https://doi.org/10.1145/3555041.3589726

Matthias Boehm, Madelon Hulsebos, Shreya Shankar, Paroma Varma

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)

June 04 , 2023

https://dl.acm.org/doi/pdf/10.1145/3555041.3590819

Matthias Boehm, Matteo Interlandi, Chris Jermaine

Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques

June 04 , 2023

https://dl.acm.org/doi/10.1145/3555041.3589407

Leonard Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir

LIT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing

June 02 , 2023

https://arxiv.org/abs/2306.00758

David Hoffmann, Kai Norman Clasen, Begüm Demir

Transformer-based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification

June 02 , 2023

https://arxiv.org/abs/2306.01523

Martin Hermann Paul Fuchs, Begüm Demir

HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods

June 02 , 2023

https://arxiv.org/abs/2306.00385

Saeed Fathollahzadeh, Matthias Boehm

GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example

June 01 , 2023

https://dl.acm.org/doi/10.1145/3589265

Publications

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ALL PUBLICATIONS

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning

Label Noise Robust Image Representation Learning based on Supervised Variational Autoencoders in Remote Sensing

TeeBench: Seamless Benchmarking in Trusted Execution Environments

Seventh Workshop on Data Management for End-to-End Machine Learning (DEEM)

Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques

LIT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing

Transformer-based Multi-Modal Learning for Multi-Label Remote Sensing Image Classification

HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods

GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example