default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJannis Born
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2022
[b1]Jannis Born:
Accelerating Molecular Discovery with Generative Language Models: A journey through the chemical space. ETH Zurich, Zürich, Switzerland, 2022
Journal Articles
- 2023
- [j10]Jannis Born
, Matteo Manica:
Regression Transformer enables concurrent sequence regression and generation for molecular language modelling. Nat. Mac. Intell. 5(4): 432-444 (2023) - 2022
- [j9]Jannis Born, Nikola I. Nikolov, Anna Rosenkranz, Alfred Schabmann, Barbara Maria Schmidt:
A computational investigation of inventive spelling and the "Lesen durch Schreiben" method. Comput. Educ. Artif. Intell. 3: 100063 (2022) - [j8]Jannis Born, Tien Huynh, Astrid Stroobants, Wendy D. Cornell, Matteo Manica:
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. 62(2): 240-257 (2022) - [j7]Jannis Born, Yoel Shoshan, Tien Huynh, Wendy D. Cornell, Eric J. Martin, Matteo Manica:
On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction. J. Chem. Inf. Model. 62(18): 4295-4299 (2022) - 2021
- [j6]Anna Weber, Jannis Born, María Rodríguez Martínez:
TITAN: T-cell receptor specificity prediction with bimodal attention networks. Bioinform. 37(Supplement): 237-244 (2021) - [j5]Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, Nikita Janakarajan, Antonio Cardinale, Teodoro Laino, María Rodríguez Martínez:
Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2. Mach. Learn. Sci. Technol. 2(2): 25024 (2021) - [j4]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:
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(6): 100269 (2021) - [j3]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:
On the role of artificial intelligence in medical imaging of COVID-19. Patterns 2(8): 100330 (2021) - 2020
- [j2]Anwaar Ulhaq, Jannis Born, Asim Khan, Douglas P. S. Gomes, Subrata Chakraborty, Manoranjan Paul:
COVID-19 Control by Computer Vision Approaches: A Survey. IEEE Access 8: 179437-179456 (2020) - [j1]Joris Cadow, Jannis Born, Matteo Manica, Ali Oskooei, María Rodríguez Martínez:
PaccMann: a web service for interpretable anticancer compound sensitivity prediction. Nucleic Acids Res. 48(Webserver-Issue): W502-W508 (2020)
Conference and Workshop Papers
- 2024
- [c6]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:
Quantum Theory and Application of Contextual Optimal Transport. ICML 2024 - 2023
- [c5]Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica:
Unifying Molecular and Textual Representations via Multi-task Language Modelling. ICML 2023: 6140-6157 - 2022
- [c4]Nikita Janakarajan, Jannis Born, Matteo Manica:
A Fully Differentiable Set Autoencoder. KDD 2022: 3061-3071 - 2021
- [c3]Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi:
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 2021: 133-140 - 2020
- [c2]Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic:
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS 2020 - [c1]Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow, María Rodríguez Martínez:
PaccMannRL: Designing Anticancer Drugs From Transcriptomic Data via Reinforcement Learning. RECOMB 2020: 231-233
Informal and Other Publications
- 2024
- [i14]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:
Quantum Theory and Application of Contextual Optimal Transport. CoRR abs/2402.14991 (2024) - 2023
- [i13]Girmaw Abebe Tadesse, Jannis Born, Celia Cintas, William Ogallo, Dmitry Zubarev, Matteo Manica, Komminist Weldemariam:
Domain-agnostic and Multi-level Evaluation of Generative Models. CoRR abs/2301.08750 (2023) - [i12]Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica:
Unifying Molecular and Textual Representations via Multi-task Language Modelling. CoRR abs/2301.12586 (2023) - [i11]Nikita Janakarajan, Tim Erdmann, Sarath Swaminathan, Teodoro Laino, Jannis Born:
Language models in molecular discovery. CoRR abs/2309.16235 (2023) - 2022
- [i10]Jannis Born, Matteo Manica:
Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens. CoRR abs/2202.01338 (2022) - [i9]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:
GT4SD: Generative Toolkit for Scientific Discovery. CoRR abs/2207.03928 (2022) - 2021
- [i8]Anna Weber, Jannis Born, María Rodríguez Martínez:
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks. CoRR abs/2105.03323 (2021) - 2020
- [i7]Jannis Born, Gabriel Brändle, Manuel Cossio, Marion Disdier, Julie Goulet, Jérémie Roulin, Nina Wiedemann:
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS). CoRR abs/2004.12084 (2020) - [i6]Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, María Rodríguez Martínez:
PaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models. CoRR abs/2005.13285 (2020) - [i5]Jannis Born, Nina Wiedemann, Gabriel Brändle, Charlotte Buhre, Bastian Rieck, Karsten M. Borgwardt:
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis. CoRR abs/2009.06116 (2020) - 2019
- [i4]Matteo Manica, Ali Oskooei, Jannis Born, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez:
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders. CoRR abs/1904.11223 (2019) - [i3]Jannis Born, Matteo Manica, Ali Oskooei, María Rodríguez Martínez:
Reinforcement learning-driven de-novo design of anticancer compounds conditioned on biomolecular profiles. CoRR abs/1909.05114 (2019) - [i2]Matteo Manica, Ali Oskooei, Jannis Born:
AI Enables Explainable Drug Sensitivity Screenings. ERCIM News 2019(118) (2019) - 2018
- [i1]Ali Oskooei, Jannis Born, Matteo Manica, Vigneshwari Subramanian, Julio Sáez-Rodríguez, María Rodríguez Martínez:
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks. CoRR abs/1811.06802 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
