Oscar Chang

Publication Activity (10 Years)

Years Active: 1981-2024
Publications (10 Years): 33

Top Topics

Variational Bayesian

Cooperative Search

Top Venues

Publications

Laura Weidinger, Joslyn Barnhart, Jenny Brennan, Christina Butterfield, Susie Young, Will Hawkins, Lisa Anne Hendricks, Ramona Comanescu, Oscar Chang, Mikel Rodriguez, Jennifer Beroshi, Dawn Bloxwich, Lev Proleev, Jilin Chen, Sebastian Farquhar, Lewis Ho, Iason Gabriel, Allan Dafoe, William Isaac
Holistic Safety and Responsibility Evaluations of Advanced AI Models. CoRR (2024)
Oscar Chang, Hank Liao, Dmitriy Serdyuk, Ankit Shahy, Olivier Siohan
Conformer is All You Need for Visual Speech Recognition. ICASSP (2024)
Carlos Macancela, Manuel Eugenio Morocho Cayamcela, Oscar Chang
Deep Reinforcement Learning for Efficient Digital Pap Smear Analysis. Comput. 11 (12) (2023)
Richard Rose, Oscar Chang, Olivier Siohan
Cascaded encoders for fine-tuning ASR models on overlapped speech. CoRR (2023)
Oscar Chang, Hod Lipson
Accelerating Meta-Learning by Sharing Gradients. CoRR (2023)
Oscar Chang, Dongseong Hwang, Olivier Siohan
Revisiting the Entropy Semiring for Neural Speech Recognition. ICLR (2023)
Luis Zhinin-Vera, Jonathan Zhiminaicela-Cabrera, Elena Pretel, Pamela Suárez, Oscar Chang, Francesc Anton Castro, Francisco López de la Rosa
Artificial Vision Technique to Detect and Classify Cocoa Beans. IWANN (2) (2023)
Oscar Chang, Hank Liao, Dmitriy Serdyuk, Ankit Shah, Olivier Siohan
Conformers are All You Need for Visual Speech Recogntion. CoRR (2023)
Oscar Chang, Otavio Braga, Hank Liao, Dmitriy Serdyuk, Olivier Siohan
On Robustness to Missing Video for Audiovisual Speech Recognition. CoRR (2023)
Oscar Chang, Dongseong Hwang, Olivier Siohan
Revisiting the Entropy Semiring for Neural Speech Recognition. CoRR (2023)
Oscar Chang, Hod Lipson
Balanced and Deterministic Weight-sharing Helps Network Performance. CoRR (2023)
Oscar Chang, Lampros Flokas, Hod Lipson
Principled Weight Initialization for Hypernetworks. CoRR (2023)
Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger
Assessing SATNet's Ability to Solve the Symbol Grounding Problem. CoRR (2023)
Richard Rose, Oscar Chang, Olivier Siohan
Cascaded encoders for fine-tuning ASR models on overlapped speech. INTERSPEECH (2023)
Oscar Chang, Dung N. Tran, Kazuhito Koishida
Single-channel speech enhancement using learnable loss mixup. CoRR (2023)
Oscar Chang, Otavio Braga, Hank Liao, Dmitriy Serdyuk, Olivier Siohan
On Robustness to Missing Video for Audiovisual Speech Recognition. Trans. Mach. Learn. Res. 2022 (2022)
Rafael Valencia-Ramos, Luis Zhinin-Vera, Gissela E. Pilliza, Oscar Chang
An Asymetric-key Cryptosystem based on Artificial Neural Network. ICAART (3) (2022)
Oscar Chang, Fernando A. Gonzales-Zubiate, Luis Zhinin-Vera, Rafael Valencia-Ramos, Israel Pineda, Antonio Diaz-Barrios
A protein folding robot driven by a self-taught agent. Biosyst. 201 (2021)
Oscar Chang, Dung N. Tran, Kazuhito Koishida
Single-Channel Speech Enhancement Using Learnable Loss Mixup. Interspeech (2021)
Luis Zhinin-Vera, Oscar Chang, Rafael Valencia-Ramos, Ronny Velastegui, Gissela E. Pilliza, Francisco Quinga-Socasi
Q-Credit Card Fraud Detector for Imbalanced Classification using Reinforcement Learning. ICAART (1) (2020)
Francisco Quinga-Socasi, Ronny Velastegui, Luis Zhinin-Vera, Rafael Valencia-Ramos, Francisco Ortega-Zamorano, Oscar Chang
Digital Cryptography Implementation using Neurocomputational Model with Autoencoder Architecture. ICAART (2) (2020)
Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger
Assessing SATNet's Ability to Solve the Symbol Grounding Problem. NeurIPS (2020)
Oscar Chang, Lampros Flokas, Hod Lipson
Principled Weight Initialization for Hypernetworks. ICLR (2020)
Oscar Chang, Robert Kwiatkowski, Siyuan Chen, Hod Lipson
Agent Embeddings: A Latent Representation for Pole-Balancing Networks. AAMAS (2019)
Oscar Chang, Yuling Yao, David Williams-King, Hod Lipson
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network. CoRR (2019)
Oscar Chang, Hod Lipson
Seven Myths in Machine Learning Research. CoRR (2019)
Payel Das, Kahini Wadhawan, Oscar Chang, Tom Sercu, Cícero Nogueira dos Santos, Matthew Riemer, Inkit Padhi, Vijil Chenthamarakshan, Aleksandra Mojsilovic
PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences. CoRR (2018)
Oscar Chang
Self-programming Robots Boosted by Neural Agents. BI (2018)
Oscar Chang, Hod Lipson
Neural Network Quine. ALIFE (2018)
Oscar Chang, Hod Lipson
Balanced and Deterministic Weight-Sharing Helps Network Performance. ICANN (3) (2018)
Oscar Chang, Robert Kwiatkowski, Siyuan Chen, Hod Lipson
Agent Embeddings: A Latent Representation for Pole-Balancing Networks. CoRR (2018)
Oscar Chang, Hod Lipson
Neural Network Quine. CoRR (2018)
Oscar Chang, Patricia Constante, Andrés Gordon, Marco Singaña
A Novel Deep Neural Network that Uses Space-Time Features for Tracking and Recognizing a Moving Object. J. Artif. Intell. Soft Comput. Res. 7 (2) (2017)
Oscar Chang
Reliable object recognition by using cooperative neural agents. IJCNN (2014)
Oscar Chang
A Bio-Inspired Robot with Visual Perception of Affordances. ECCV Workshops (2) (2014)
Oscar Chang, Pascual Campoy Cervera, Carol Martínez, Miguel A. Olivares-Méndez
A robotic eye controller based on cooperative neural agents. IJCNN (2010)
Ricardo E. Suarez, Oscar Chang, Vladimir Adam
Design of a Dynamically Programmable Logic Gate. IEEE Trans. Computers 30 (1) (1981)