Ravin Kumar

According to our database, Ravin Kumar authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus

CoRR, 2024

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

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, Paul Michel, Peter Choy, Pratik Joshi, Ravin Kumar, Sarmad Hashmi, Shubham Agrawal, Zhitao Gong, Jane Fine, Tris Warkentin, Ale Jakse Hartman, Bin Ni, Kathy Korevec, Kelly Schaefer, Scott Huffman

CoRR, 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, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov

CoRR, 2024

2023

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, Thomas V. Wiecki, Robert Zinkov

PeerJ Comput. Sci., 2023

2022

Bambi: A Simple Interface for Fitting Bayesian Linear Models in <i>Python</i>.

Tomás Capretto, Camen Piho, Ravin Kumar, Jacob Westfall, Tal Yarkoni, Osvaldo A. Martin

J. Stat. Softw., 2022

APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning.

Ravin Kumar

CoRR, 2022

2021

Drone GPS data analysis for flight path reconstruction: A study on DJI, Parrot & Yuneec make drones.

Ravin Kumar, Animesh Kumar Agrawal

Digit. Investig., 2021

2020

Visual Linguistic Model and Its Applications in Image Captioning.

Ravin Kumar

SN Comput. Sci., 2020

A Generalized Quantum Algorithm for Assuring Fairness in Random Selection Among 2^N Participants.

Ravin Kumar

SN Comput. Sci., 2020

Cerebral LSTM: A Better Alternative for Single- and Multi-Stacked LSTM Cell-Based RNNs.

Ravin Kumar

SN Comput. Sci., 2020

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

A Theoretical Model For Artificial Learning, Memory Management And Decision Making System.

Ravin Kumar

CoRR, 2019