Adeel Pervez

8 papers · 2020–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

ICLR (4) ICML (4)

Top co-authors

Efstratios Gavves (6) Francesco Locatello (3) Phillip Lippe (2) Dan Alistarh (1) Jiale Chen (1) Dingling Yao (1) Taco Cohen (1) Stratis Gavves (1)

Research topics

Machine Learning (8) Deep Learning (5) Architectures (5) Optimization & Theory · Machine Learning (5) Application Areas (3) Artificial Intelligence (2) Core AI (2) Core Methods (2) Models (2) Bayesian & Probabilistic (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

neural network (2) interpretability (1) partial differential equation (1) gradient estimation (1) hierarchical model (1) variance reduction (1) differentiable programming (1) quadratic programming (1) noise robustness (1) generative model (1) latent variable model (1) phase transition (1) graph cut (1) dynamical system (1) computational complexity (1) variational autoencoder (1) gradient approximation (1) straight-through estimator (1) differential equation (1) temporal sequence (1)

Papers

Mechanistic PDE Networks for Discovery of Governing Equations ICML 2025 Scalable Mechanistic Neural Networks ICLR 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