A Fourier View of REINFORCE. - Adeel Pervez (CoRR, 2018)

Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks. - Adeel Pervez; Taco Cohen; Efstratios Gavves (ICML, 2020)

Co-clustering optimization using Artificial Bee Colony (ABC) algorithm. - Syed Fawad Hussain; Adeel Pervez; Masroor Hussain (Appl. Soft Comput., 2020)

Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders. - Adeel Pervez; Efstratios Gavves (ICML, 2021)

Stability Regularization for Discrete Representation Learning. - Adeel Pervez; Efstratios Gavves (ICLR, 2022)

Differentiable Mathematical Programming for Object-Centric Representation Learning. - Adeel Pervez; Phillip Lippe; Efstratios Gavves (ICLR, 2023)

Scalable Subset Sampling with Neural Conditional Poisson Networks. - Adeel Pervez; Phillip Lippe; Efstratios Gavves (ICLR, 2023)

Mechanistic Neural Networks for Scientific Machine Learning. - Adeel Pervez; Francesco Locatello; Stratis Gavves (ICML, 2024)

Mechanistic Neural Networks for Scientific Machine Learning. - Adeel Pervez; Francesco Locatello; Efstratios Gavves (CoRR, 2024)

Scalable Mechanistic Neural Networks. - Jiale Chen 004; Dingling Yao; Adeel Pervez; Dan Alistarh; Francesco Locatello (ICLR, 2025)

Mechanistic PDE Networks for Discovery of Governing Equations. - Adeel Pervez; Efstratios Gavves; Francesco Locatello (CoRR, 2025)