Jonathan Kuck

3 papers · 2019–2020 · 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 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🚀 Conference Pioneer

Venues

NeurIPS (2) UAI (1)

Top co-authors

Ashish Sabharwal (3) Stefano Ermon (3) Tri Dao (2) Shengjia Zhao (1) Rachel Luo (1) Jiaming Song (1) Hao Tang (1) Burak Bartan (1) Shuvam Chakraborty (1) Hamid Rezatofighi (1)

Research topics

Machine Learning (3) Mathematics & Optimization (3) Optimization (3) Artificial Intelligence (1) Computer Science (1) Deep Learning (1) Core AI (1) Core Methods (1) Foundations (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Mathematics (1) Optimization & Theory (1)

Keywords

model counting (2) combinatorial optimization (2) belief propagation (1) adaptive sampling (1) ising model (1) variance reduction (1) monte carlo sampling (1) matrix computation (1) approximation algorithm (1) factor graph (1) adaptive importance sampling (1) propositional formula (1) random hashing (1) multi-target tracking (1) neural network (1) randomized hashing (1) permanent computation (1) permanent approximation (1) particle filtering (1)

Papers

Belief Propagation Neural Networks NeurIPS 2020 Adaptive Hashing for Model Counting UAI 2019 Approximating the Permanent by Sampling from Adaptive Partitions NeurIPS 2019