Follow
Nikita Janakarajan
Nikita Janakarajan
Doctoral Student at ETH Zürich and IBM Research Europe
Verified email at inf.ethz.ch
Title
Cited by
Cited by
Year
Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2
J Born, M Manica, J Cadow, G Markert, NA Mill, M Filipavicius, ...
Machine Learning: Science and Technology 2 (2), 025024, 2021
37*2021
Chemical representation learning for toxicity prediction
J Born, G Markert, N Janakarajan, TB Kimber, A Volkamer, MR Martínez, ...
Digital Discovery 2 (3), 674-691, 2023
112023
A fully differentiable set autoencoder
N Janakarajan, J Born, M Manica
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
52022
Attention-based interpretable regression of gene expression in histology
M Graziani, N Marini, N Deutschmann, N Janakarajan, H Müller, ...
International Workshop on Interpretability of Machine Intelligence in …, 2022
42022
Language Models in Molecular Discovery
N Janakarajan, T Erdmann, S Swaminathan, T Laino, J Born
NeurIPS 2023 AI for Science Workshop, 2023
22023
Language models in molecular discovery
N Janakarajan, T Erdmann, S Swaminathan, T Laino, J Born
arXiv:2309.16235, 2023, 2023
22023
Survboard: standardised benchmarking for multi-omics cancer survival models
D Wissel, N Janakarajan, A Grover, E Toniato, MR Martínez, V Boeva
bioRxiv, 2022.11. 18.517043, 2022
12022
Signature Informed Sampling for Transcriptomic Data
N Janakarajan, M Graziani, MR Martinez
bioRxiv, 2023.10. 26.564263, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–8