Adeel Pervez
8 papers · 2020–2025 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2)
π
Academic Marathon
(5)
π
Cross-Pollinator
(5)
π
Keyword Champion
π₯
Unstoppable
(6)
Conferences
ICLR (4)
ICML (4)
Top co-authors
Keywords
gradient estimation
(1)
hierarchical model
(1)
variance reduction
(1)
generative model
(1)
latent variable model
(1)
phase transition
(1)
variational autoencoder
(1)
straight-through estimator
(1)
monte carlo method
(1)
stochastic neural network
(1)
posterior collapse
(1)
boolean network
(1)
monte carlo
(1)
boolean variable
(1)
harmonic analysis
(1)
spectral smoothing
(1)
Papers
Scalable Mechanistic Neural Networks
ICLR 2025
Mechanistic PDE Networks for Discovery of Governing Equations
ICML 2025
Mechanistic Neural Networks for Scientific Machine Learning
ICML 2024
Differentiable Mathematical Programming for Object-Centric Representation Learning
ICLR 2023
Scalable Subset Sampling with Neural Conditional Poisson Networks
ICLR 2023
Stability Regularization for Discrete Representation Learning
ICLR 2022
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
ICML 2021
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks
ICML 2020