Jordan Malof

5 papers · 2020–2026 · 3 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 (12) 🚀 Conference Pioneer

Venues

WACV (3) ICLR (1) NeurIPS (1)

Top co-authors

Willie Padilla (2) Simiao Ren (2) Kyle Bradbury (2) Jake Bova (1) Omar Khatib (1) Leslie Collins (1) Mohammadreza Soltani (1) Yang Deng (1) Aneesh Gupta (1) Bohao Huang (1)

Research topics

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

Keywords

deep neural network (2) semantic segmentation (2) domain generalization (1) spatio-temporal modeling (1) deep learning (1) synthetic data generation (1) forward model (1) time series forecasting (1) phase retrieval (1) inverse problem (1) convolutional neural network (1) hybrid architecture (1) overhead imagery (1) neural network (1) satellite imagery analysis (1) building segmentation (1) overhead imagery recognition (1) wildfire spread prediction (1) meta-material design (1) neural adjoint (1)

Papers

Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark WACV 2026 Transformers for Recognition in Overhead Imagery: A Reality Check WACV 2023 Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions ICLR 2022 Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method NeurIPS 2020 The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation WACV 2020