Brian Matejek

3 papers · 2019–2024 · 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 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10)

Venues

AAAI (1) CVPR (1) ECCV (1)

Top co-authors

Toufiq Parag (2) Donglai Wei (2) Hanspeter Pfister (2) Daniel Haehn (2) Zudi Lin (1) Daniel Berger (1) Richard Schalek (1) Siyan Zhou (1) Adam D. Cobb (1) Adi Peleg (1)

Research topics

Deep Learning (2) Machine Learning (2) Architectures (2) Artificial Intelligence (1) Computer Vision (1) Interdisciplinary (1) Analysis (1) Bayesian & Probabilistic (1) Core AI (1) Core Methods (1) Models (1) Optimization & Theory (1) Science (1)

Keywords

neural network (2) markov chain monte carlo (1) posterior distribution (1) posterior estimation (1) graph partitioning (1) likelihood ratio (1) hamiltonian monte carlo (1) amortized inference (1) simulation-based inference (1) neural estimator (1) geometric constraint (1) neuron morphology (1) neuronal morphology (1) connectomics reconstruction (1) image segmentation (1) biologically constrained (1)

Papers

Direct Amortized Likelihood Ratio Estimation AAAI 2024 Two Stream Active Query Suggestion for Active Learning in Connectomics ECCV 2020 Biologically-Constrained Graphs for Global Connectomics Reconstruction CVPR 2019