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Allen Liu

IIT@MIT · US
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Area of research
Artificial Intelligence · Computational Mechanics
Research interest
Research focused on TRACE (psycholinguistics) and Minimax, with related work in Upper and lower bounds, Artificial intelligence, Stochastic block model. Notable publications include 'When Does Adaptivity Help for Quantum State Learning?', 'Structure Learning of Hamiltonians from Real-Time Evolution', and 'Minimax Rates for Robust Community Detection'.
h-index
citations
25
works
3
NIH funding
primary concept
email

Recent publications

Structure Learning of Hamiltonians from Real-Time Evolution
2024cited by 7position: middledoi
When Does Adaptivity Help for Quantum State Learning?
2023cited by 13position: middledoi
Minimax Rates for Robust Community Detection
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) 2022cited by 5position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Ankur Moitra · Massachusetts Institute of Technology2 papers (2022–2024) · 1 papers (2023–2023) · 1 papers (2024–2024)Brice Huang · Massachusetts Institute of Technology1 papers (2023–2023)Sitan Chen · Harvard University Press1 papers (2023–2023)Ainesh Bakshi · Carnegie Mellon University1 papers (2024–2024)Jerry Li · Kyowa Kirin (France)1 papers (2023–2023)
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