Damian Borth

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 104

Top Venues

University of Kaiserslautern (PHD)

Education History

University of Kaiserslautern

PHD

Publications

Konstantin Schürholt, Michael W. Mahoney, Damian Borth
Towards Scalable and Versatile Weight Space Learning. CoRR (2024)
Kristófer Reynisson, Marco Schreyer, Damian Borth
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs. CoRR (2024)
Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. CoRR (2024)
Timur Sattarov, Marco Schreyer, Damian Borth
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation. CoRR (2024)
Hamed Hemati, Damian Borth
Sample Weight Estimation Using Meta-Updates for Online Continual Learning. CoRR (2024)
Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert
Dataset Distillation for Eurosat. IGARSS (2023)
Shijun Wang, Jón Guðnason, Damian Borth
Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. INTERSPEECH (2023)
Joëlle Hanna, Michael Mommert, Damian Borth
Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation. CVPR Workshops (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoLLAs (2023)
Alexander Arimond, Mauro Molteni, Dominik Jany, Zornitsa Manolova, Damian Borth, Andreas G. F. Hoepner
Transformer-based Entity Legal Form Classification. CoRR (2023)
Timur Sattarov, Marco Schreyer, Damian Borth
FinDiff: Diffusion Models for Financial Tabular Data Generation. CoRR (2023)
Dominik Honegger, Konstantin Schürholt, Damian Borth
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models. CoRR (2023)
Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
Partial Hypernetworks for Continual Learning. CoRR (2023)
Shijun Wang, Jón Guðnason, Damian Borth
Fine-Grained Emotional Control of Text-to-Speech: Learning to Rank Inter- and Intra-Class Emotion Intensities. ICASSP (2023)
Hamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian Borth
Partial Hypernetworks for Continual Learning. CoLLAs (2023)
Linus Scheibenreif, Michael Mommert, Damian Borth
Masked Vision Transformers for Hyperspectral Image Classification. CVPR Workshops (2023)
Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir
Ben-Ge: Extending Bigearthnet with Geographical and Environmental Data. IGARSS (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoRR (2023)
Dominik Honegger, Konstantin Schürholt, Linus Scheibenreif, Damian Borth
Eurosat Model Zoo: A Dataset and Benchmark on Populations of Neural Networks and Its Sparsified Model Twins. IGARSS (2023)
Joëlle Hanna, Damian Borth, Michael Mommert
Emissions From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Timur Sattarov, Marco Schreyer, Damian Borth
FinDiff: Diffusion Models for Financial Tabular Data Generation. ICAIF (2023)
Michael Mommert, Nicolas Kesseli, Joëlle Hanna, Linus Scheibenreif, Damian Borth, Begüm Demir
Ben-ge: Extending BigEarthNet with Geographical and Environmental Data. CoRR (2023)
Shijun Wang, Jón Guðnason, Damian Borth
Fine-grained Emotional Control of Text-To-Speech: Learning To Rank Inter- And Intra-Class Emotion Intensities. CoRR (2023)
Shijun Wang, Jón Guðnason, Damian Borth
Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. CoRR (2023)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. NeurIPS (2022)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations for Pre-Training and Transfer Learning. CoRR (2022)
Marco Schreyer, Timur Sattarov, Damian Borth
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. ICAIF (2022)
Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Model Zoos: A Dataset of Diverse Populations of Neural Network Models. NeurIPS (2022)
Marco Schreyer, Timur Sattarov, Damian Borth
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. CoRR (2022)
Ricardo Müller, Marco Schreyer, Timur Sattarov, Damian Borth
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. CoRR (2022)
Ricardo Müller, Marco Schreyer, Timur Sattarov, Damian Borth
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. ICAIF (2022)
Marco Schreyer, Hamed Hemati, Damian Borth, Miklos A. Vasarhelyi
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing. CoRR (2022)
Linus Scheibenreif, Michael Mommert, Damian Borth
Pollution With Deep Learning and Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Konstantin Schürholt, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights. CoRR (2022)
Shijun Wang, Damian Borth
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. IJCNN (2022)
Linus Scheibenreif, Joëlle Hanna, Michael Mommert, Damian Borth
Self-supervised Vision Transformers for Land-cover Segmentation and Classification. CVPR Workshops (2022)
Joëlle Hanna, Linus Scheibenreif, Michael Mommert, Damian Borth
A Multimodal Approach for Event Detection: Study of UK Lockdowns in the Year 2020. IGARSS (2022)
Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. INTERSPEECH (2022)
Leonardo Eicher, Michael Mommert, Damian Borth
Traffic Noise Estimation from Satellite Imagery with Deep Learning. IGARSS (2022)
Konstantin Schürholt, Diyar Taskiran, Boris Knyazev, Xavier Giró-i-Nieto, Damian Borth
Model Zoos: A Dataset of Diverse Populations of Neural Network Models. CoRR (2022)
Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. CoRR (2022)
Konstantin Schürholt, Dimche Kostadinov, Damian Borth
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. CoRR (2021)
Hamed Hemati, Marco Schreyer, Damian Borth
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. CoRR (2021)
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft
Learning Interpretable Concept Groups in CNNs. CoRR (2021)
Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth
Power Plant Classification from Remote Imaging with Deep Learning. CoRR (2021)
Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft
Learning Interpretable Concept Groups in CNNs. IJCAI (2021)
Shijun Wang, Dimche Kostadinov, Damian Borth
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. CoRR (2021)
Hamed Hemati, Damian Borth
Continual Speaker Adaptation for Text-to-Speech Synthesis. CoRR (2021)
Shijun Wang, Damian Borth
NoiseVC: Towards High Quality Zero-Shot Voice Conversion. CoRR (2021)
Konstantin Schürholt, Dimche Kostadinov, Damian Borth
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction. NeurIPS (2021)
Tim Krappel, Alex Bogun, Damian Borth
Heterogeneous Ensemble for ESG Ratings Prediction. CoRR (2021)
Michael Mommert, Linus Scheibenreif, Joëlle Hanna, Damian Borth
Power Plant Classification from Remote Imaging with Deep Learning. IGARSS (2021)
Marco Schreyer, Timur Sattarov, Damian Borth
Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks. ICAIF (2021)
Alex Bogun, Dimche Kostadinov, Damian Borth
Saliency Diversified Deep Ensemble for Robustness to Adversaries. CoRR (2021)
Linus Scheibenreif, Michael Mommert, Damian Borth
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space. CoRR (2021)
Marco Schreyer, Timur Sattarov, Damian Borth
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks. CoRR (2021)
Linus Scheibenreif, Michael Mommert, Damian Borth
A Novel Dataset and Benchmark for Surface No2 Prediction from Remote Sensing Data Including Covid Lockdown Measures. IGARSS (2021)
Benjamin van Giffen, Damian Borth, Walter Brenner
Management von Künstlicher Intelligenz in Unternehmen. HMD Prax. Wirtsch. 57 (1) (2020)
Léa Steinacker, Miriam Meckel, Genia Kostka, Damian Borth
Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination. CoRR (2020)
Alexander Arimond, Damian Borth, Andreas Hoepner, Michael Klawunn, Stefan Weisheit
Neural Networks and Value at Risk. CoRR (2020)
Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth
Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks. CoRR (2020)
Konstantin Schürholt, Damian Borth
An Investigation of the Weight Space for Version Control of Neural Networks. CoRR (2020)
Hamed Hemati, Damian Borth
Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement. CoRR (2020)
Marco Schreyer, Christian Schulze, Damian Borth
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks. CoRR (2020)
Michael Mommert, Mario Sigel, Marcel Neuhausler, Linus Scheibenreif, Damian Borth
Characterization of Industrial Smoke Plumes from Remote Sensing Data. CoRR (2020)
Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth
Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks. ICAIF (2020)
Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. ICIP (2019)
Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth
Adversarial Learning of Deepfakes in Accounting. CoRR (2019)
Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (7) (2019)
Marco Schreyer, Timur Sattarov, Christian Schulze, Bernd Reimer, Damian Borth
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. CoRR (2019)
Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth
The Multimedia Satellite Task at MediaEval 2018. MediaEval (2018)
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
What do Deep Networks Like to See? CoRR (2018)
Sebastian Palacio, Joachim Folz, Jörn Hees, Federico Raue, Damian Borth, Andreas Dengel
What Do Deep Networks Like to See? CVPR (2018)
Benjamin Bischke, Patrick Helber, Florian Koenig, Damian Borth, Andreas Dengel
Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CBMI (2018)
Benjamin Bischke, Patrick Helber, Florian König, Damian Borth, Andreas Dengel
Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CoRR (2018)
Marco Stricker, Syed Saqib Bukhari, Damian Borth, Andreas Dengel
Saliency based Adjective Noun Pair Detection System. ICAART (2) (2018)
Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IGARSS (2018)
Benjamin Bischke, Patrick Helber, Damian Borth, Andreas Dengel
Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss. IGARSS (2018)
Sebastian Säger, Benjamin Elizalde, Damian Borth, Christian Schulze, Bhiksha Raj, Ian R. Lane
AudioPairBank: towards a large-scale tag-pair-based audio content analysis. EURASIP J. Audio Speech Music. Process. 2018 (2018)
Joachim Folz, Sebastian Palacio, Jörn Hees, Damian Borth, Andreas Dengel
Adversarial Defense based on Structure-to-Signal Autoencoders. CoRR (2018)
Marco Stricker, Syed Saqib Bukhari, Mohammad Al-Naser, Seyyed Saleh Mozafari Chanijani, Damian Borth, Andreas Dengel
Which Saliency Detection Method is the Best to Estimate the Human Attention for Adjective Noun Concepts?. ICAART (2) (2017)
Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. CoRR (2017)
Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. CoRR (2017)
Marco Schreyer, Timur Sattarov, Damian Borth, Andreas Dengel, Bernd Reimer
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks. CoRR (2017)
Benjamin Bischke, Prakriti Bhardwaj, Aman Gautam, Patrick Helber, Damian Borth, Andreas Dengel
Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. MediaEval (2017)
Benjamin Bischke, Patrick Helber, Christian Schulze, Venkat Srinivasan, Andreas Dengel, Damian Borth
The Multimedia Satellite Task at MediaEval 2017. MediaEval (2017)
Philipp Blandfort, Tushar Karayil, Damian Borth, Andreas Dengel
Image Captioning in the Wild: How People Caption Images on Flickr. MUSA2@MM (2017)
Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
Predicting Human Associations with Graph Patterns Learned from Linked Data. ISWC (Posters, Demos & Industry Tracks) (2017)
Mario Michael Krell, Julia Bernd, Yifan Li, Daniel Ma, Jaeyoung Choi, Michael Ellsworth, Damian Borth, Gerald Friedland
Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver. CoRR (2017)
Jiebo Luo, Damian Borth, Quanzeng You
Social Multimedia Sentiment Analysis. ACM Multimedia (2017)
Seyyed Saleh Mozaffari Chanijani, Mohammad Al-Naser, Syed Saqib Bukhari, Damian Borth, Shanley E. M. Alleny, Andreas Dengel
An eye movement study on scientific papers using wearable eye tracking technology. ICMU (2016)
Sebastian Fuchs, Damian Borth, Adrian Ulges
Trending Topic Aggregation by News-Based Context Modeling. KI (2016)
Bart Thomee, Damian Borth, Julia Bernd
Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility. ACM Multimedia (2016)
Tushar Karayil, Philipp Blandfort, Damian Borth, Andreas Dengel
Generating Affective Captions using Concept And Syntax Transition Networks. ACM Multimedia (2016)
Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
Erratum to: Edinburgh Associative Thesaurus as RDF and DBpedia Mapping. ESWC (Satellite Events) (2016)
Alireza Koochali, Sebastian Kalkowski, Andreas Dengel, Damian Borth, Christian Schulze
Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset. MMCommons @ ACM Multimedia (2016)
Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li
YFCC100M: the new data in multimedia research. Commun. ACM 59 (2) (2016)
Sebastian Säger, Damian Borth, Benjamin Elizalde, Christian Schulze, Bhiksha Raj, Ian R. Lane, Andreas Dengel
AudioSentibank: Large-scale Semantic Ontology of Acoustic Concepts for Audio Content Analysis. CoRR (2016)
Benjamin Bischke, Damian Borth, Christian Schulze, Andreas Dengel
Contextual Enrichment of Remote-Sensed Events with Social Media Streams. ACM Multimedia (2016)
Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, Andreas Dengel
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs: Finding Patterns for Human Associations in DBpedia. CoRR (2016)

Damian Borth.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Damian Borth