A Theoretical Model For Artificial Learning, Memory Management And Decision Making System. - Ravin Kumar (CoRR, 2019)

ArviZ a unified library for exploratory analysis of Bayesian models in Python. - Ravin Kumar; Colin Carroll; Ari Hartikainen; Osvaldo A. Martin (J. Open Source Softw., 2019)

Cerebral LSTM: A Better Alternative for Single- and Multi-Stacked LSTM Cell-Based RNNs. - Ravin Kumar (SN Comput. Sci., 2020)

A Generalized Quantum Algorithm for Assuring Fairness in Random Selection Among 2N Participants. - Ravin Kumar (SN Comput. Sci., 2020)

Visual Linguistic Model and Its Applications in Image Captioning. - Ravin Kumar (SN Comput. Sci., 2020)

Drone GPS data analysis for flight path reconstruction: A study on DJI, Parrot & Yuneec make drones. - Ravin Kumar; Animesh Kumar Agrawal (Digit. Investig., 2021)

APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning. - Ravin Kumar (CoRR, 2022)

Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python. - Tomás Capretto; Camen Piho; Ravin Kumar; Jacob Westfall; Tal Yarkoni; Osvaldo A. Martin (J. Stat. Softw., 2022)

PyMC: a modern, and comprehensive probabilistic programming framework in Python. - Oriol Abril Pla; Virgile Andréani; Colin Carroll; Larry Dong; Christopher Fonnesbeck; Maxim Kochurov; Ravin Kumar; Junpeng Lao; Christian C. Luhmann; Osvaldo A. Martin; Michael Osthege; Ricardo Vieira; et al. (PeerJ Comput. Sci., 2023)

STAR: SocioTechnical Approach to Red Teaming Language Models. - Laura Weidinger; John Mellor; Bernat Guillen Pegueroles; Nahema Marchal; Ravin Kumar; Kristian Lum; Canfer Akbulut; Mark Diaz; A. Stevie Bergman; Mikel Rodriguez; Verena Rieser; William Isaac 001 (EMNLP, 2024)

BlackJAX: Composable Bayesian inference in JAX. - Alberto Cabezas; Adrien Corenflos; Junpeng Lao; Rémi Louf; Antoine Carnec; Kaustubh Chaudhari; Reuben Cohn-Gordon; Jeremie Coullon; Wei Deng; Sam Duffield; Gerardo Duràn-Martín; Marcin Elantkowski; et al. (CoRR, 2024)

CodeGemma: Open Code Models Based on Gemma. - Heri Zhao; Jeffrey Hui; Joshua Howland; Nam Nguyen; Siqi Zuo; Andrea Hu; Christopher A. Choquette-Choo; Jingyue Shen; Joe Kelley; Kshitij Bansal; Luke Vilnis; Mateo Wirth; et al. (CoRR, 2024)

Gemma 2: Improving Open Language Models at a Practical Size. - Morgane Rivière; Shreya Pathak; Pier Giuseppe Sessa; Cassidy Hardin; Surya Bhupatiraju; Léonard Hussenot; Thomas Mesnard; Bobak Shahriari; Alexandre Ramé; Johan Ferret; Peter Liu; Pouya Tafti; et al. (CoRR, 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)

APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation. - Ravin Kumar (CoRR, 2025)