Jannis Born - RankMe

39 papers A* 5B 1Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	COVID-BLUeS - A Prospective Study on the Value of AI in Lung Ultrasound Analysis. CoRR Nina Wiedemann, Dianne de Korte-de Boer, Matthias Richter, Sjors van de Weijer, Charlotte Buhre, Franz A. M. Eggert, Sophie Aarnoudse, Lotte Grevendonk, Steffen Röber, Carlijn M. E. Remie, Wolfgang Buhre, Ronald Henry, Jannis Born
2025	J	`jnl`	COVID-BLUeS - a Prospective Study on the Value of AI in Lung Ultrasound Analysis. IEEE J. Biomed. Health Informatics Nina Wiedemann, Dianne de Korte-de Boer, Matthias Richter, Sjors van de Weijer, Charlotte Buhre, Franz A. M. Eggert, Sophie Aarnoudse, Lotte Grevendonk, Steffen Röber, Carlijn M. E. Remie, Wolfgang Buhre, Ronald Henry, Jannis Born
2025	J	`jnl`	Multiscale Byte Language Models - A Hierarchical Architecture for Causal Million-Length Sequence Modeling. CoRR Eric Egli, Matteo Manica, Jannis Born
2025	J	`jnl`	Quantum Doubly Stochastic Transformers. CoRR Jannis Born, Filip Skogh, Kahn Rhrissorrakrai, Filippo Utro, Nico Wagner, Aleksandros Sobczyk
2025	A*	`conf`	Regress, Don't Guess: A Regression-like Loss on Number Tokens for Language Models. ICML Jonas Zausinger, Lars Pennig, Anamarija Kozina, Sean Sdahl, Julian Sikora, Adrian Dendorfer, Timofey Kuznetsov, Mohamad Hagog, Nina Wiedemann, Kacper Chlodny, Vincent Limbach, Anna Ketteler, Thorben Prein, Vishwa Mohan Singh, Michael M. Danziger, Jannis Born
2025	J	`jnl`	Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap. CoRR Alice Driessen, Benedek Harsanyi, Marianna Rapsomaniki, Jannis Born
2025	J	`jnl`	We Need Improved Data Curation and Attribution in AI for Scientific Discovery. CoRR Mara Graziani, Antonio Foncubierta, Dimitrios Christofidellis, Irina Espejo Morales, Malina Molnar, Marvin Alberts, Matteo Manica, Jannis Born
2024	A*	`conf`	Quantum Theory and Application of Contextual Optimal Transport. ICML Nicola Mariella, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Juan Carlos Gonzalez-Espitia, Benedek Harsanyi, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk, Jannis Born
2024	J	`jnl`	Quantum Theory and Application of Contextual Optimal Transport. CoRR Nicola Mariella, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Juan Carlos Gonzalez-Espitia, Benedek Harsanyi, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk, Jannis Born
2024	J	`jnl`	Regress, Don't Guess - A Regression-like Loss on Number Tokens for Language Models. CoRR Jonas Zausinger, Lars Pennig, Kacper Chlodny, Vincent Limbach, Anna Ketteler, Thorben Prein, Vishwa Mohan Singh, Michael Morris Danziger, Jannis Born
2023	J	`jnl`	Domain-agnostic and Multi-level Evaluation of Generative Models. CoRR Girmaw Abebe Tadesse, Jannis Born, Celia Cintas, William Ogallo, Dmitry Zubarev, Matteo Manica, Komminist Weldemariam
2023	J	`jnl`	Language models in molecular discovery. CoRR Nikita Janakarajan, Tim Erdmann, Sarath Swaminathan, Teodoro Laino, Jannis Born
2023	J	`jnl`	Regression Transformer enables concurrent sequence regression and generation for molecular language modelling. Nat. Mac. Intell. Jannis Born, Matteo Manica
2023	A*	`conf`	Unifying Molecular and Textual Representations via Multi-task Language Modelling. ICML Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica
2023	J	`jnl`	Unifying Molecular and Textual Representations via Multi-task Language Modelling. CoRR Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica
2022	A*	`conf`	A Fully Differentiable Set Autoencoder. KDD Nikita Janakarajan, Jannis Born, Matteo Manica
2022	J	`jnl`	A computational investigation of inventive spelling and the "Lesen durch Schreiben" method. Comput. Educ. Artif. Intell. Jannis Born, Nikola I. Nikolov, Anna Rosenkranz, Alfred Schabmann, Barbara Maria Schmidt
2022	—	`—`	Accelerating Molecular Discovery with Generative Language Models: A journey through the chemical space. Jannis Born
2022	J	`jnl`	Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model. J. Chem. Inf. Model. Jannis Born, Tien Huynh, Astrid Stroobants, Wendy D. Cornell, Matteo Manica
2022	J	`jnl`	GT4SD: Generative Toolkit for Scientific Discovery. CoRR Matteo Manica, Joris Cadow, Dimitrios Christofidellis, Ashish Dave, Jannis Born, Dean Clarke, Yves Gaetan Nana Teukam, Samuel C. Hoffman, Matthew Buchan, Vijil Chenthamarakshan, Timothy Donovan, Hsiang-Han Hsu, Federico Zipoli, Oliver Schilter, Giorgio Giannone, Akihiro Kishimoto, Lisa Hamada, Inkit Padhi, Karl Wehden, Lauren McHugh, Alexy Khrabrov, Payel Das, Seiji Takeda, John R. Smith
2022	J	`jnl`	On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction. J. Chem. Inf. Model. Jannis Born, Yoel Shoshan, Tien Huynh, Wendy D. Cornell, Eric J. Martin, Matteo Manica
2022	J	`jnl`	Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens. CoRR Jannis Born, Matteo Manica
2021	J	`jnl`	Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2. Mach. Learn. Sci. Technol. Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, Nikita Janakarajan, Antonio Cardinale, Teodoro Laino, María Rodríguez Martínez
2021	—	`conf`	Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi
2021	J	`jnl`	On the role of artificial intelligence in medical imaging of COVID-19. Patterns Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi
2021	J	`jnl`	On the role of artificial intelligence in medical imaging of COVID-19. Patterns Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi
2021	J	`jnl`	TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks. CoRR Anna Weber, Jannis Born, María Rodríguez Martínez
2021	J	`jnl`	TITAN: T-cell receptor specificity prediction with bimodal attention networks. Bioinform. Anna Weber, Jannis Born, María Rodríguez Martínez
2020	J	`jnl`	Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis. CoRR Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten M. Borgwardt
2020	J	`jnl`	COVID-19 Control by Computer Vision Approaches: A Survey. IEEE Access Anwaar Ulhaq, Jannis Born, Asim Khan, Douglas P. S. Gomes, Subrata Chakraborty, Manoranjan Paul
2020	A*	`conf`	CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
2020	J	`jnl`	POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS). CoRR Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann
2020	B	`conf`	PaccMann RECOMB Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow, María Rodríguez Martínez
2020	J	`jnl`	PaccMann CoRR Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, María Rodríguez Martínez
2020	J	`jnl`	PaccMann: a web service for interpretable anticancer compound sensitivity prediction. Nucleic Acids Res. Joris Cadow, Jannis Born, Matteo Manica, Ali Oskooei, María Rodríguez Martínez
2019	J	`jnl`	AI Enables Explainable Drug Sensitivity Screenings. ERCIM News Matteo Manica, Ali Oskooei, Jannis Born
2019	J	`jnl`	Reinforcement learning-driven de-novo design of anticancer compounds conditioned on biomolecular profiles. CoRR Jannis Born, Matteo Manica, Ali Oskooei, María Rodríguez Martínez
2019	J	`jnl`	Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders. CoRR Matteo Manica, Ali Oskooei, Jannis Born, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez
2018	J	`jnl`	PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks. CoRR Ali Oskooei, Jannis Born, Matteo Manica, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez