Adeel Pervez

According to our database1, Adeel Pervez authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Scalable Mechanistic Neural Networks.
CoRR, 2024

Mechanistic Neural Networks for Scientific Machine Learning.
CoRR, 2024

Mechanistic Neural Networks for Scientific Machine Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Scalable Subset Sampling with Neural Conditional Poisson Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Differentiable Mathematical Programming for Object-Centric Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Stability Regularization for Discrete Representation Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Co-clustering optimization using Artificial Bee Colony (ABC) algorithm.
Appl. Soft Comput., 2020

Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

2018
A Fourier View of REINFORCE.
CoRR, 2018


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