Rajesh Ilango
Nvidia
6 Papers
Rajesh Ilango is an academic researcher from Nvidia. The author has contributed to research in topics: Computer science & Python (programming language). The author has an hindex of 1, co-authored 1 publications.
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Papers
AlphaPept: a modern and open framework for MS-based proteomics
Maximilian T. Strauss,Isabell Bludau,Wen-Feng Zeng,Eugenia Voytik,Constantin Ammar,Julia Schessner,Rajesh Ilango,Michelle Gill,Florian Meier,Sander Willems,Matthias Mann +10 more
TL;DR: AlphaPept is a Python-based, open-source framework for efficient MS-based proteomics analysis, leveraging just-in-time compilation and the Python scientific stack to achieve hundred-fold speed improvements and rapid processing of large datasets.
31
Improving Small Molecule Generation using Mutual Information Machine
TL;DR: A novel extension to the training procedure of MolMIM allows the model to sample valid molecules from random perturbations of latent codes, and achieves state-of-the-art results in several constrained single property optimization tasks as well as in the challenging task of multi-objective optimization.
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JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities
TL;DR: The presented neural bootstrapping method (hereby dubbed NBM) is based on evaluation of the finite discretization residuals of the PDE system obtained on implicit Cartesian cells centered on a set of random collocation points with respect to trainable parameters of the neural network.
Neuro-symbolic partial differential equation solver
TL;DR: This neural bootstrapping method is based on minimizing residuals of discretized differential systems on a set of random collocation points with respect to the trainable parameters of the neural network, achieving unprecedented resolution and optimal scaling for solving physical and biological systems.
1
AlphaPept, a modern and open framework for MS-based proteomics
Maximilian T. Strauss,Isabell Bludau,Wen-Feng Zeng,Eugenia Voytik,Constantin Ammar,Julia Schessner,Rajesh Ilango,Michelle Gill,Florian Meier,Sander Willems,Matthias Mann,Matthias Mann +11 more
TL;DR: AlphaPept as mentioned in this paper is a Python-based open-source framework for efficient processing of large high-resolution mass spectrometry (MS)-based proteomics data sets using Numba for just-in-time machine code compilation on CPU and GPU.