Sicong Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Compression Rate

Polyphonic Music

Multimodal Image Registration

Top Venues

Publications

Sicong Huang, Jiawei He, Kry Yik Chau Lui
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection. CoRR (2024)
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger B. Grosse
Efficient Parametric Approximations of Neural Network Function Space Distance. CoRR (2023)
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger B. Grosse, Alireza Makhzani
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. CoRR (2023)
Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
Inverse Scaling: When Bigger Isn't Better. CoRR (2023)
Haoxiang Qin, Zhenyu Song, Weijuan Zhang, Sicong Huang, Wentao Yao, Ge Liu, Xiaoqi Jia, Haichao Du
Protecting Encrypted Virtual Machines from Nested Page Fault Controlled Channel. CODASPY (2023)
Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi
ArterialNet: Arterial Blood Pressure Reconstruction. BHI (2023)
Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse
Efficient Parametric Approximations of Neural Network Function Space Distance. ICML (2023)
Lida Zhang, Sicong Huang, Anurag Das, Edmund Do, Namino Glantz, Wendy Bevier, Rony Santiago, David Kerr, Ricardo Gutierrez-Osuna, Bobak J. Mortazavi
Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation. BHI (2023)
Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Baker Grosse, Alireza Makhzani
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds. ICLR (2022)
Sicong Huang, Asli Celikyilmaz, Haoran Li
ED-FAITH: Evaluating Dialogue Summarization on Faithfulness. CoRR (2022)
Nicholas B. Link, Sicong Huang, Tianrun Cai, Jiehuan Sun, Kumar Dahal, Lauren Costa, Kelly Cho, Katherine P. Liao, Tianxi Cai, Chuan Hong
Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping. Int. J. Medical Informatics 162 (2022)
Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse
Evaluating Lossy Compression Rates of Deep Generative Models. ICML (2020)
Sicong Huang, Alireza Makhzani, Yanshuai Cao, Roger B. Grosse
Evaluating Lossy Compression Rates of Deep Generative Models. CoRR (2020)
Bryan M. Li, Alexander Imani Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez
RL: Generic reinforcement learning codebase in TensorFlow. J. Open Source Softw. 4 (42) (2019)
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. ICLR (Poster) (2019)
Zhaofeng Wu, Yan Song, Sicong Huang, Yuanhe Tian, Fei Xia
WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference. BioNLP@ACL (2019)
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. CoRR (2018)
Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser
Unsupervised Cipher Cracking Using Discrete GANs. CoRR (2018)
Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser
Unsupervised Cipher Cracking Using Discrete GANs. ICLR (Poster) (2018)