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ORCIDRavin Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c1]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:
STAR: SocioTechnical Approach to Red Teaming Language Models. EMNLP 2024: 21516-21532- [i6]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:
BlackJAX: Composable Bayesian inference in JAX. CoRR abs/2402.10797 (2024) - [i5]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:
CodeGemma: Open Code Models Based on Gemma. CoRR abs/2406.11409 (2024) - [i4]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:
STAR: SocioTechnical Approach to Red Teaming Language Models. CoRR abs/2406.11757 (2024) - [i3]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:
Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024) - 2023
- [j7]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:
PyMC: a modern, and comprehensive probabilistic programming framework in Python. PeerJ Comput. Sci. 9: e1516 (2023) - 2022
- [j6]Tomás Capretto, Camen Piho, Ravin Kumar, Jacob Westfall, Tal Yarkoni, Osvaldo A. Martin:
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python. J. Stat. Softw. 103(15) (2022) - [i2]Ravin Kumar:
APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning. CoRR abs/2209.06119 (2022) - 2021
- [j5]Ravin Kumar, Animesh Kumar Agrawal:
Drone GPS data analysis for flight path reconstruction: A study on DJI, Parrot & Yuneec make drones. Digit. Investig. 38: 301182 (2021) - 2020
- [j4]Ravin Kumar:
Cerebral LSTM: A Better Alternative for Single- and Multi-Stacked LSTM Cell-Based RNNs. SN Comput. Sci. 1(2): 85 (2020) - [j3]Ravin Kumar:
A Generalized Quantum Algorithm for Assuring Fairness in Random Selection Among 2N Participants. SN Comput. Sci. 1(2): 86 (2020) - [j2]Ravin Kumar:
Visual Linguistic Model and Its Applications in Image Captioning. SN Comput. Sci. 1(3): 124 (2020)
2010 – 2019
- 2019
- [j1]Ravin Kumar, Colin Carroll, Ari Hartikainen, Osvaldo A. Martin:
ArviZ a unified library for exploratory analysis of Bayesian models in Python. J. Open Source Softw. 4(33): 1143 (2019) - [i1]Ravin Kumar:
A Theoretical Model For Artificial Learning, Memory Management And Decision Making System. CoRR abs/1907.04698 (2019)
Coauthor Index
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