Pavan Ramkumar

According to our database, Pavan Ramkumar authored at least 9 papers between 2010 and 2022.

Collaborative distances:

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

2022

Hierarchical confounder discovery in the experiment-machine learning cycle.

Alex Rogozhnikov, Pavan Ramkumar, Rishi Bedi, Saul Kato, G. Sean Escola

Patterns, 2022

Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar.

Pavan Ramkumar, Saul Kato, G. Sean Escola

Patterns, 2022

2020

Pyglmnet: Python implementation of elastic-net regularized generalized linear models.

Mainak Jas, Titipat Achakulvisut, Aid Idrizovic, Daniel E. Acuna, Matthew Antalek, Vinícius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley, Hugo Fernandes, Drew Harris, Beibin Li, Olivier Pieters, Scott Otterson, Giovanni De Toni, Chris C. Rodgers, Eva L. Dyer, Matti Hamalainen, Konrad P. Körding, Pavan Ramkumar

J. Open Source Softw., 2020

2018

Modern Machine Learning as a Benchmark for Fitting Neural Responses.

Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad P. Körding

Frontiers Comput. Neurosci., 2018

2016

Visual information representation and rapid-scene categorization are simultaneous across cortex: An MEG study.

Pavan Ramkumar, Bruce C. Hansen, Sebastian Pannasch, Lester C. Loschky

NeuroImage, 2016

2014

Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data.

Pavan Ramkumar, Lauri Parkkonen, Aapo Hyvärinen

NeuroImage, 2014

2012

Advances in modeling and characterization of human neuromagnetic oscillations.

Pavan Ramkumar

PhD thesis, 2012

2011

How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study.

Pavan Ramkumar, Sebastian Pannasch, Bruce C. Hansen, Adam M. Larson, Lester C. Loschky

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

2010

Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis.

Aapo Hyvärinen, Pavan Ramkumar, Lauri Parkkonen, Riitta Hari

NeuroImage, 2010