Felipe Tobar

13 papers B 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerated training of Gaussian processes using banded square exponential covariances.
CoRR
Emily C. Ehrhardt, Felipe Tobar
2026 J jnl
Asynchronous graph generator.
Signal Process.
Christopher P. Ley, Felipe Tobar
2026 J jnl
Efficient Gaussian process learning via subspace projections.
CoRR
Elsa Cazelles, Felipe Tobar
2026 J jnl
Unconditional flow-based time series generation with equivariance-regularised latent spaces.
CoRR
Camilo Carvajal Reyes, Felipe Tobar
2025 J jnl
AI for a Planet Under Pressure.
CoRR
Victor Galaz, Maria Schewenius, Jonathan F. Donges, Ingo Fetzer, Erik Zhivkoplias, Wolfram Barfuss, Louis Delannoy, Lan Wang-Erlandsson, Maximilian Gelbrecht, Jobst Heitzig, Jonas Hentati-Sundberg, Christopher Kennedy, Nielja Knecht, Romi Lotcheris, Miguel Mahecha, Andrew Merrie, David Montero, Timon McPhearson, Ahmed Mustafa, Magnus Nyström, Drew Purves, Juan C. Rocha, Masahiro Ryo, Claudia van der Salm, Samuel T. Segun, Anna B. Stephenson, Elizabeth Tellman, Felipe Tobar, Alice Vadrot
2025 J jnl
Diffusion Self-Weighted Guidance for Offline Reinforcement Learning.
CoRR
Augusto Tagle, Javier Ruiz-del-Solar, Felipe Tobar
2025 J jnl
Diffusion Self-Weighted Guidance for Offline Reinforcement Learning.
Trans. Mach. Learn. Res.
Augusto Tagle, Javier Ruiz-del-Solar, Felipe Tobar
2025 J jnl
Stochastic gradient descent for barycenters in Wasserstein space.
J. Appl. Probab.
Julio Backhoff, Joaquín Fontbona, Gonzalo Rios, Felipe Tobar
2025 B conf
Towards SFW sampling for diffusion models via external conditioning.
IJCNN
Camilo Carvajal Reyes, Joaquín Fontbona, Felipe Tobar
2025 J jnl
Towards SFW sampling for diffusion models via external conditioning.
CoRR
Camilo Carvajal Reyes, Joaquín Fontbona, Felipe Tobar
2025 J jnl
Using Language Models to Detect and Reduce Gender Bias in University Forum Messages.
IEEE Signal Process. Mag.
Gianina Salomó-López, Cristóbal Alcázar, Roberto Barceló, Camilo Carvajal Reyes, Darinka Radovic, Felipe Tobar
2024 J jnl
Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning.
CoRR
Roberto Barceló, Cristóbal Alcázar, Felipe Tobar
2024 J jnl
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification.
J. Mach. Learn. Res.
Jorge F. Silva, Felipe Tobar, Mario Vicuña, Felipe Cordova