activity
20112021
most citedDiscovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks

63 citations · 183 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2021★ 39 cited

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…

cs.LG2020★ 2 cited

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…

cs.LG2020★ 6 cited

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.…

cs.NE2020★ 6 cited

Logic Guided Genetic Algorithms

Dhananjay Ashok, Joseph Scott, Sebastian Wetzel +2

We present a novel Auxiliary Truth enhanced Genetic Algorithm (GA) that uses logical or mathematical constraints as a means of data augmentation as well as to compute loss (in conj…

cs.AI2020★ 2 cited

LGML: Logic Guided Machine Learning

Joseph Scott, Maysum Panju, Vijay Ganesh

We introduce Logic Guided Machine Learning (LGML), a novel approach that symbiotically combines machine learning (ML) and logic solvers with the goal of learning mathematical funct…

physics.comp-ph2020★ 63 cited

Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks

Sebastian J. Wetzel, Roger G. Melko, Joseph Scott +2

In this paper, we introduce interpretable Siamese Neural Networks (SNN) for similarity detection to the field of theoretical physics. More precisely, we apply SNNs to events in spe…

cs.NE2017★ 9 cited

Classification-based RNN machine translation using GRUs

Ri Wang, Maysum Panju, Mahmood Gohari

We report the results of our classification-based machine translation model, built upon the framework of a recurrent neural network using gated recurrent units. Unlike other RNN mo…

math.NA2011★ 55 cited

Iterative Methods for Computing Eigenvalues and Eigenvectors

Maysum Panju

We examine some numerical iterative methods for computing the eigenvalues and eigenvectors of real matrices. The five methods examined here range from the simple power iteration me…

math.NT2011★ 1 cited

Beta Expansions for Regular Pisot Numbers

Maysum Panju

A beta expansion is the analogue of the base 10 representation of a real number, where the base may be a non-integer. Although the greedy beta expansion of 1 using a non-integer ba…