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Chi-Ning Chou
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2020 – today
- 2024
- [j3]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Sketching Approximability of All Finite CSPs. J. ACM 71(2): 15:1-15:74 (2024) - [i28]Francesca Mignacco, Chi-Ning Chou, SueYeon Chung:
Nonlinear classification of neural manifolds with contextual information. CoRR abs/2405.06851 (2024) - 2023
- [i27]Chi-Ning Chou:
The Computational Lens: from Quantum Physics to Neuroscience. CoRR abs/2310.20539 (2023) - [i26]Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung:
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CoRR abs/2312.14285 (2023) - 2022
- [j2]Andres E. Lombo, Jesus E. Lares, Matteo Castellani, Chi-Ning Chou, Nancy A. Lynch, Karl K. Berggren:
A superconducting nanowire-based architecture for neuromorphic computing. Neuromorph. Comput. Eng. 2(2): 34011 (2022) - [c13]Chi-Ning Chou, Alexander Golovnev, Amirbehshad Shahrasbi, Madhu Sudan, Santhoshini Velusamy:
Sketching Approximability of (Weak) Monarchy Predicates. APPROX/RANDOM 2022: 35:1-35:17 - [c12]Chi-Ning Chou, Peter J. Love, Juspreet Singh Sandhu, Jonathan Shi:
Limitations of Local Quantum Algorithms on Random MAX-k-XOR and Beyond. ICALP 2022: 41:1-41:20 - [c11]Nai-Hui Chia, Chi-Ning Chou, Jiayu Zhang, Ruizhe Zhang:
Quantum Meets the Minimum Circuit Size Problem. ITCS 2022: 47:1-47:16 - [c10]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Ameya Velingker, Santhoshini Velusamy:
Linear space streaming lower bounds for approximating CSPs. STOC 2022: 275-288 - [i25]Chi-Ning Chou, Alexander Golovnev, Amirbehshad Shahrasbi, Madhu Sudan, Santhoshini Velusamy:
Sketching Approximability of (Weak) Monarchy Predicates. CoRR abs/2205.02345 (2022) - [i24]Chi-Ning Chou, Alexander Golovnev, Amirbehshad Shahrasbi, Madhu Sudan, Santhoshini Velusamy:
Sketching Approximability of (Weak) Monarchy Predicates. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- [c9]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Approximability of all finite CSPs with linear sketches. FOCS 2021: 1197-1208 - [c8]Boaz Barak, Chi-Ning Chou, Xun Gao:
Spoofing Linear Cross-Entropy Benchmarking in Shallow Quantum Circuits. ITCS 2021: 30:1-30:20 - [i23]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Classification of the streaming approximability of Boolean CSPs. CoRR abs/2102.12351 (2021) - [i22]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Approximability of all finite CSPs in the dynamic streaming setting. CoRR abs/2105.01161 (2021) - [i21]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Ameya Velingker, Santhoshini Velusamy:
Linear Space Streaming Lower Bounds for Approximating CSPs. CoRR abs/2106.13078 (2021) - [i20]Nai-Hui Chia, Chi-Ning Chou, Jiayu Zhang, Ruizhe Zhang:
Quantum Meets the Minimum Circuit Size Problem. CoRR abs/2108.03171 (2021) - [i19]Chi-Ning Chou, Peter J. Love, Juspreet Singh Sandhu, Jonathan Shi:
Limitations of Local Quantum Algorithms on Maximum Cuts of Sparse Hypergraphs and Beyond. CoRR abs/2108.06049 (2021) - [i18]Xun Gao, Marcin Kalinowski, Chi-Ning Chou, Mikhail D. Lukin, Boaz Barak, Soonwon Choi:
Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage. CoRR abs/2112.01657 (2021) - [i17]Andres E. Lombo, Jesus E. Lares, Matteo Castellani, Chi-Ning Chou, Nancy A. Lynch, Karl K. Berggren:
A Superconducting Nanowire-based Architecture for Neuromorphic Computing. CoRR abs/2112.08928 (2021) - [i16]Nai-Hui Chia, Chi-Ning Chou, Jiayu Zhang, Ruizhe Zhang:
Quantum Meets the Minimum Circuit Size Problem. Electron. Colloquium Comput. Complex. TR21 (2021) - [i15]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Classification of the streaming approximability of Boolean CSPs. Electron. Colloquium Comput. Complex. TR21 (2021) - [i14]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Santhoshini Velusamy:
Approximability of all finite CSPs in the dynamic streaming setting. Electron. Colloquium Comput. Complex. TR21 (2021) - [i13]Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, Ameya Velingker, Santhoshini Velusamy:
Linear Space Streaming Lower Bounds for Approximating CSPs. Electron. Colloquium Comput. Complex. TR21 (2021) - 2020
- [c7]Chi-Ning Chou, Mien Brabeeba Wang:
ODE-Inspired Analysis for the Biological Version of Oja's Rule in Solving Streaming PCA. COLT 2020: 1339-1343 - [c6]Chi-Ning Chou, Alexander Golovnev, Santhoshini Velusamy:
Optimal Streaming Approximations for all Boolean Max-2CSPs and Max-ksat. FOCS 2020: 330-341 - [i12]Chi-Ning Chou, Alexander Golovnev, Santhoshini Velusamy:
Optimal Streaming Approximations for all Boolean Max-2CSPs. CoRR abs/2004.11796 (2020) - [i11]Boaz Barak, Chi-Ning Chou, Xun Gao:
Spoofing Linear Cross-Entropy Benchmarking in Shallow Quantum Circuits. CoRR abs/2005.02421 (2020) - [i10]Chi-Ning Chou, Juspreet Singh Sandhu, Mien Brabeeba Wang, Tiancheng Yu:
A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms. CoRR abs/2006.06171 (2020)
2010 – 2019
- 2019
- [j1]Chi-Ning Chou, Mrinal Kumar, Noam Solomon:
Closure Results for Polynomial Factorization. Theory Comput. 15: 1-34 (2019) - [c5]Chi-Ning Chou, Zhixian Lei, Preetum Nakkiran:
Tracking the l2 Norm with Constant Update Time. APPROX-RANDOM 2019: 2:1-2:15 - [c4]Chi-Ning Chou, Kai-Min Chung, Chi-Jen Lu:
On the Algorithmic Power of Spiking Neural Networks. ITCS 2019: 26:1-26:20 - [c3]Boaz Barak, Chi-Ning Chou, Zhixian Lei, Tselil Schramm, Yueqi Sheng:
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs. NeurIPS 2019: 9186-9194 - [i9]Chi-Ning Chou, Mrinal Kumar, Noam Solomon:
Closure of VP under taking factors: a short and simple proof. CoRR abs/1903.02366 (2019) - [i8]Chi-Ning Chou, Mien Brabeeba Wang:
ODE-Inspired Analysis for the Biological Version of Oja's Rule in Solving Streaming PCA. CoRR abs/1911.02363 (2019) - [i7]Chi-Ning Chou, Mrinal Kumar, Noam Solomon:
Closure of VP under taking factors: a short and simple proof. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [c2]Chi-Ning Chou, Mrinal Kumar, Noam Solomon:
Hardness vs Randomness for Bounded Depth Arithmetic Circuits. CCC 2018: 13:1-13:17 - [c1]Chi-Ning Chou, Yu-Jing Lin, Ren Chen, Hsiu-Yao Chang, I-Ping Tu, Shih-Wei Liao:
Personalized Difficulty Adjustment for Countering the Double-Spending Attack in Proof-of-Work Consensus Protocols. iThings/GreenCom/CPSCom/SmartData 2018: 1456-1462 - [i6]Chi-Ning Chou, Mrinal Kumar, Noam Solomon:
Some Closure Results for Polynomial Factorization and Applications. CoRR abs/1803.05933 (2018) - [i5]Chi-Ning Chou, Kai-Min Chung, Chi-Jen Lu:
On the Algorithmic Power of Spiking Neural Networks. CoRR abs/1803.10375 (2018) - [i4]Boaz Barak, Chi-Ning Chou, Zhixian Lei, Tselil Schramm, Yueqi Sheng:
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs. CoRR abs/1805.02349 (2018) - [i3]Chi-Ning Chou, Yu-Jing Lin, Ren Chen, Hsiu-Yao Chang, I-Ping Tu, Shih-wei Liao:
Personalized Difficulty Adjustment for Countering the Double-Spending Attack in Proof-of-Work Consensus Protocols. CoRR abs/1807.02933 (2018) - [i2]Chi-Ning Chou, Zhixian Lei, Preetum Nakkiran:
Tracking the 𝓁2 Norm with Constant Update Time. CoRR abs/1807.06479 (2018) - [i1]Chi-Ning Chou, Mrinal Kumar, Noam Solomon:
Some Closure Results for Polynomial Factorization and Applications. Electron. Colloquium Comput. Complex. TR18 (2018)
Coauthor Index
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