Daniel Liang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Attribute Noise

Computed Tomography

Top Venues

Publications

Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
Agnostic Tomography of Stabilizer Product States. CoRR (2024)
Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
Improved Stabilizer Estimation via Bell Difference Sampling. STOC (2024)
Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
Pseudoentanglement Ain't Cheap. CoRR (2024)
Bill Cai, Clarence Boon Liang Ng, Daniel Liang, Shelvia Hotama
Low-Cost Generation and Evaluation of Dictionary Example Sentences. NAACL-HLT (2024)
Daniel Liang, David Liang, Alice Wei, Licheng Ryan Kuo, Shaojie Chang, Marc Jason Pomeroy, Yongfeng Gao
An investigation on energy spectral information of computed tomography for machine learning in lesion classification. Medical Imaging: Computer-Aided Diagnosis (2023)
Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurements. CoRR (2023)
Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom. ITCS (2023)
Daniel Liang
Clifford Circuits can be Properly PAC Learned if and only if RP=NP. Quantum 7 (2023)
Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates. CoRR (2023)
Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
Improved Stabilizer Estimation via Bell Difference Sampling. CoRR (2023)
Aravind Gollakota, Daniel Liang
On the Hardness of PAC-learning Stabilizer States with Noise. Quantum 6 (2022)
Daniel Liang
Clifford Circuits can be Properly PAC Learned if and only if RP=NP. CoRR (2022)
Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang
Low-Stabilizer-Complexity Quantum States Are Not Pseudorandom. CoRR (2022)
Aravind Gollakota, Daniel Liang
On the Hardness of PAC-learning stabilizer States with Noise. CoRR (2021)
Ling Chen, David Renshaw, Michael Kellam, Ritaban Dutta, Daniel Liang
Characterization of Reversibly-Actuating Shape Memory Alloy Foils Produced By Planar Flow Casting. IEEE SENSORS (2021)
Ritaban Dutta, David Renshaw, Cherry Chen, Daniel Liang
Machine learning based approach for shape memory polymer behavioural characterization. Array 7 (2020)
Ritaban Dutta, David Renshaw, Hong Yin, Daniel Liang
Applying Vision Based Predictive Modelling for Rapid Characterization of Shape Memory Polymer. BigMine@KDD (2019)
Ritaban Dutta, Heiko Mueller, Daniel Liang
An interactive architecture for industrial scale prediction: Industry 4.0 adaptation of machine learning. SysCon (2018)