176 citations · 564 across the 35 of their papers we have counts for
11 papers · 1 filter
Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey
Benyamin Ghojogh, Ali Ghodsi
This is a tutorial paper on Recurrent Neural Network (RNN), Long Short-Term Memory Network (LSTM), and their variants. We start with a dynamical system and backpropagation through…
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation
Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi
Data Augmentation (DA) is known to improve the generalizability of deep neural networks. Most existing DA techniques naively add a certain number of augmented samples without consi…
SymbolicGPT: A Generative Transformer Model for Symbolic Regression
Mojtaba Valipour, Bowen You, Maysum Panju +1
Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. Due to the richness of the space of mathemati…
Symbolically Solving Partial Differential Equations using Deep Learning
Maysum Panju, Kourosh Parand, Ali Ghodsi
We describe a neural-based method for generating exact or approximate solutions to differential equations in the form of mathematical expressions. Unlike other neural methods, our…
A Neuro-Symbolic Method for Solving Differential and Functional Equations
Maysum Panju, Ali Ghodsi
When neural networks are used to solve differential equations, they usually produce solutions in the form of black-box functions that are not directly mathematically interpretable.…
DeepNovoV2: Better de novo peptide sequencing with deep learning
Rui Qiao, Ngoc Hieu Tran, Lei Xin +3
Personalized cancer vaccines are envisioned as the next generation rational cancer immunotherapy. The key step in developing personalized therapeutic cancer vaccines is to identify…