22 citations · 45 across the 6 of their papers we have counts for
6 papers
Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay
Josue Casco-Rodriguez, Nanda H. Krishna, Richard G. Baraniuk
Biological neural networks (like the hippocampus) can internally generate "replay" resembling stimulus-driven activity. Recent computational models of replay use noisy recurrent ne…
[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
Josue Casco-Rodriguez, Caleb Kemere, Richard G. Baraniuk
Kalman filters provide a straightforward and interpretable means to estimate hidden or latent variables, and have found numerous applications in control, robotics, signal processin…
Self-Consuming Generative Models Go MAD
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi +5
Seismic advances in generative AI algorithms for imagery, text, and other data types has led to the temptation to use synthetic data to train next-generation models. Repeating this…
A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices
Kai Malcolm, Josue Casco-Rodriguez
Biological neural networks continue to inspire breakthroughs in neural network performance. And yet, one key area of neural computation that has been under-appreciated and under-in…
Rock Guitar Tablature Generation via Natural Language Processing
Josue Casco-Rodriguez
Deep learning has recently empowered and democratized generative modeling of images and text, with additional concurrent works exploring the possibility of generating more complex…
Boomerang: Local sampling on image manifolds using diffusion models
Lorenzo Luzi, Paul M Mayer, Josue Casco-Rodriguez +2
The inference stage of diffusion models can be seen as running a reverse-time diffusion stochastic differential equation, where samples from a Gaussian latent distribution are tran…