David Berghaus

28 papers A* 1B 8Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Loops and Memory in Transformers: Think Harder or Know More? CoRR Markus Frey, Behzad Shomali, Ali Hamza Bashir, David Berghaus, Joachim Köhler, Mehdi Ali
2026	J	`jnl`	Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis. CoRR Lukas Theißinger, Thore Gerlach, David Berghaus, Christian Bauckhage
2026	J	`jnl`	Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law. CoRR Ali Hamza Bashir, Muhammad Rehan Khalid, Kostadin Cvejoski, Jana Birr, Jule Berghaus, Armin Berger, Sandra Halscheidt, Christian Temath, Rafet Sifa, David Berghaus
2026	J	`jnl`	Foundation Inference Models for Ordinary Differential Equations. CoRR Maximilian Mauel, Johannes R. Hübers, David Berghaus, Patrick Seifner, Ramsés J. Sánchez
2026	J	`jnl`	Is continuous CoT better suited for multi-lingual reasoning? CoRR Ali Hamza Bashir, Behzad Shomali, Markus Frey, Mehdi Ali, Rafet Sifa, David Berghaus
2025	J	`jnl`	Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. CoRR Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa
2025	J	`jnl`	Foundation Inference Models for Stochastic Differential Equations: A Transformer-based Approach for Zero-shot Function Estimation. CoRR Patrick Seifner, Kostadin Cvejoski, David Berghaus, César Ojeda, Ramsés J. Sánchez
2025	B	`conf`	History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting. IEEE Big Data Sarthak Khanna, Armin Berger, Muskaan Chopra, David Berghaus, Rafet Sifa
2025	J	`jnl`	History Rhymes: Macro-Contextual Retrieval for Robust Financial Forecasting. CoRR Sarthak Khanna, Armin Berger, Muskaan Chopra, David Berghaus, Rafet Sifa
2025	J	`jnl`	In-Context Learning of Temporal Point Processes with Foundation Inference Models. CoRR David Berghaus, Patrick Seifner, Kostadin Cvejoski, César Ojeda, Ramsés J. Sánchez
2025	B	`conf`	Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing. IEEE Big Data David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa
2025	J	`jnl`	Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing. CoRR David Berghaus, Armin Berger, Lars Hillebrand, Kostadin Cvejoski, Rafet Sifa
2025	J	`jnl`	On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery. CoRR David Berghaus, Patrick Seifner, Kostadin Cvejoski, Ramsés J. Sánchez
2025	B	`conf`	Reasoning LLMs in the Medical Domain: A Literature Survey. DSAA Armin Berger, Sarthak Khanna, Lorenz Sparrenberg, Tobias Deußer, David Berghaus, Rafet Sifa
2025	J	`jnl`	Reasoning LLMs in the Medical Domain: A Literature Survey. CoRR Armin Berger, Sarthak Khanna, David Berghaus, Rafet Sifa
2025	J	`jnl`	Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models. CoRR Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramsés J. Sánchez
2025	J	`jnl`	Towards Foundation Inference Models that Learn ODEs In-Context. CoRR Maximilian Mauel, Manuel Hinz, Patrick Seifner, David Berghaus, Ramsés J. Sánchez
2025	B	`conf`	Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention. DSAA Sarthak Khanna, Armin Berger, David Berghaus, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa
2025	J	`jnl`	Towards Unified Multimodal Financial Forecasting: Integrating Sentiment Embeddings and Market Indicators via Cross-Modal Attention. CoRR Sarthak Khanna, Armin Berger, David Berghaus, Tobias Deußer, Lorenz Sparrenberg, Rafet Sifa
2024	B	`conf`	Advancing Personalized Medicine: A Scalable LLM-based Recommender System for Patient Matching. IEEE Big Data Armin Berger, David Berghaus, Ali Hamza Bashir, Lorenz Grigull, Lara Fendrich, Tom Anglim Lagones, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa
2024	B	`conf`	Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory Compliance. IEEE Big Data Lars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa
2024	J	`jnl`	Computation of Laplacian eigenvalues of two-dimensional shapes with dihedral symmetry. Adv. Comput. Math. David Berghaus, Robert Stephen Jones, Hartmut Monien, Danylo V. Radchenko
2024	B	`conf`	Fine-Tuning Large Language Models for Compliance Checks. IEEE Big Data Thiago Bell, David Leonhard, Ali Hamza Bashir, Tim Dilmaghani Khameneh, Mohamed Khaled, Ulrich Warning, Rüdiger Loitz, Sandra Halscheidt, Jana Birr, Armin Berger, Rafet Sifa, David Berghaus
2024	A*	`conf`	Foundation Inference Models for Markov Jump Processes. NeurIPS David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ali Marin Ojeda, Ramsés J. Sánchez
2024	J	`jnl`	Foundation Inference Models for Markov Jump Processes. CoRR David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés J. Sánchez
2024	B	`conf`	Optimizing Rare Disease Patient Matching with Large Language Models. IEEE Big Data Armin Berger, Ali Hamza Bashir, David Berghaus, Mowmita, Nazia Afsan, Lorenz Grigull, Lara Fendrich, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tom Anglim Lagones, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa
2023	J	`jnl`	On the computation of modular forms on noncongruence subgroups. Math. Comput. David Berghaus, Hartmut Monien, Danylo V. Radchenko
2022	J	`jnl`	Computation of Laplacian eigenvalues of two-dimensional shapes with dihedral symmetry. CoRR David Berghaus, Robert Stephen Jones, Hartmut Monien, Danylo V. Radchenko