A service-oriented search framework for full text, geospatial and semantic search. - Andreas Both 001; Axel-Cyrille Ngonga Ngomo; Ricardo Usbeck; Denis Lukovnikov; Christiane Lemke; Maximilian Speicher (SEMANTiCS, 2014)

LD viewer - linked data presentation framework. - Denis Lukovnikov; Claus Stadler; Jens Lehmann 001 (SEMANTiCS, 2014)

DBpedia Viewer - An Integrative Interface for DBpedia leveraging the DBpedia Service Eco System. - Denis Lukovnikov; Dimitris Kontokostas; Claus Stadler; Sebastian Hellmann; Jens Lehmann 001 (LDOW, 2014)

Question Answering on Linked Data: Challenges and Future Directions. - Saeedeh Shekarpour; Kemele M. Endris; Ashwini Jaya Kumar; Denis Lukovnikov; Kuldeep Singh 001; Harsh Thakkar; Christoph Lange 002 (WWW (Companion Volume), 2016)

Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level. - Denis Lukovnikov; Asja Fischer; Jens Lehmann 001; Sören Auer (WWW, 2017)

On the regularization of Wasserstein GANs. - Henning Petzka; Asja Fischer; Denis Lukovnikov (ICLR (Poster), 2018)

Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters. - Denis Lukovnikov; Nilesh Chakraborty; Jens Lehmann 001; Asja Fischer (CoRR, 2018)

Incorporating Literals into Knowledge Graph Embeddings. - Agustinus Kristiadi; Mohammad Asif Khan 001; Denis Lukovnikov; Jens Lehmann 001; Asja Fischer (ISWC (1), 2019)

Pretrained Transformers for Simple Question Answering over Knowledge Graphs. - Denis Lukovnikov; Asja Fischer; Jens Lehmann 001 (ISWC (1), 2019)

Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs. - Gaurav Maheshwari 001; Priyansh Trivedi; Denis Lukovnikov; Nilesh Chakraborty; Asja Fischer; Jens Lehmann 001 (ISWC (1), 2019)

Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs. - Nilesh Chakraborty; Denis Lukovnikov; Gaurav Maheshwari 001; Priyansh Trivedi; Jens Lehmann 001; Asja Fischer (CoRR, 2019)

Improving the Long-Range Performance of Gated Graph Neural Networks. - Denis Lukovnikov; Jens Lehmann 001; Asja Fischer (CoRR, 2020)

Insertion-based Tree Decoding. - Denis Lukovnikov; Asja Fischer (ACL/IJCNLP (Findings), 2021)

Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing. - Denis Lukovnikov; Sina Däubener; Asja Fischer (EMNLP (Findings), 2021)

Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. - Denis Lukovnikov; Asja Fischer (ICML, 2021)

Introduction to neural network-based question answering over knowledge graphs. - Nilesh Chakraborty; Denis Lukovnikov; Gaurav Maheshwari 001; Priyansh Trivedi; Jens Lehmann 001; Asja Fischer (WIREs Data Mining Knowl. Discov., 2021)

Deep Learning Methods for Semantic Parsing and Question Answering over Knowledge Graphs. - Denis Lukovnikov (2022)

Set-Membership Inference Attacks using Data Watermarking. - Mike Laszkiewicz; Denis Lukovnikov; Johannes Lederer; Asja Fischer (CoRR, 2023)

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error. - Jonas Ricker; Denis Lukovnikov; Asja Fischer (CVPR, 2024)

Layout-to-Image Generation with Localized Descriptions using ControlNet with Cross-Attention Control. - Denis Lukovnikov; Asja Fischer (CoRR, 2024)

Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models. - Andreas Müller 025; Denis Lukovnikov; Jonas Thietke; Asja Fischer; Erwin Quiring (CVPR, 2025)

Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models. - Jonas Thietke; Andreas Müller 025; Denis Lukovnikov; Asja Fischer; Erwin Quiring (CoRR, 2025)

Towards Robust Red-Green Watermarking for Autoregressive Image Generators. - Denis Lukovnikov; Andreas Müller 025; Erwin Quiring; Asja Fischer (CoRR, 2025)