Presentations
"Lilian Ngweta; Simple Disentanglement of Style and Content in Visual Representations", ICML 2023 2023
Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
""An Eye for AI: Towards Scientific Approaches for Evaluating and Improving Robustness and Safety of Foundational Models" ", 2023
Pin-Yu Chen
Poster snip "Biomechanics-guided Facial Action Unit Detection Through Force Modeling", Computer Vision & Pattern Recognition (CVPR) Conference 2023
Zijun Cui, Chenyi Kuang, Tian Gao, Karik Talamadupula, Qiang Ji
Poster for "Zeroth-order Optimization for Composite Problems with Functional Constraints" presentation "Zeroth-order Optimization for Composite Problems with Functional Constraints", AAAI-22 2022
Zichong Li , Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
Poster for "Scalable Intervention Target Estimation in Linear Models" presentation "Scalable Intervention Target Estimation in Linear Models.", NeurIPS 2021
Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer
Screenshot of "Learning of Shared Subgraphs in Ising Model Pairs" presentation "Learning of Shared Subgraphs in Ising Model Pairs", AISTATS 2021
Burak Varici, Saurabh Sihag, Ali Tajer
Screenshot of "Can a Fruit Fly Learn Word Embeddings?" presentation "Can a Fruit Fly Learn Word Embeddings?", ICLR 2021
Yuchen Liang, Chaitanya Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed Zaki, Dmitry Krotov
Small thumbnail of the "Rate-improved Inexact Augmented Lagrangian Method for Constrained Nonconvex Optimization" presentation "Rate-improved Inexact Augmented Lagrangian Method for Constrained Nonconvex Optimization", Artificial Intelligence and Statistics (AISTATS) 2021
Zichong Li, Pin-Yu Chen*, Sijia Liu*, Yangyang Xu, Songtao Lu
Screenshot of "Sparse Graph Based Sketching for Numerical Linear Algebra" presentation "Sparse Graph Based Sketching for Numerical Linear Algebra", ICASSP 2021
Dong Hu, Shashanka Ubaru, Alex Gittens, Lior Horesh, Kenneth L. Clarkson, Vassillis Kalantzis
Screenshot of "Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation" presentation "Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation", 12th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics 2021
Xiao Shou, Tian Gao, Dharmashankar Subramanian, Kristin P. Bennett
Screenshot of the "Causal Inference for Event Pairs in Multivariate Point Processes" presentation "Causal Inference for Event Pairs in Multivariate Point Processes", NeurIPS 2021
Tian Gao, Debarun Bhattacharjya, Shankar Subramaniam, Xiao Shou, Nicholas Mattei, Kristin Bennett
Screenshot of "Type-augmented Relation Prediction in Knowledge Graphs" presentation "Type-augmented Relation Prediction in Knowledge Graphs", Proceedings of the National Conference on Artificial Intelligence (AAAI), virtual conference 2021
Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji
Screenshot of the "AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray" presentation "AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray", MICCAI 2021
Nkechinyere Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James Hendler
Screenshot of "Knowledge Augmented Deep Neural Network for Joint Facial Expression and Action Unit Recognition" presentation "Knowledge Augmented Deep Neural Network for Joint Facial Expression and Action Unit Recognition ", NeurIPS 2020
Zijun Cui,, Tengfei Song,, Yuru Wang,, Qiang Ji
Screenshot of the "Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case" presentation "Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case", International Conference on Machine Learning (ICML) 2020
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Screenshot of the "Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases" presentation "Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases", The European Conference on Computer Vision (ECCV) 2020
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
Screenshot of "Predicting Human Choice in a Multi-Demensional N-Armed Bandit Task Using Actor-Critic Feature Reinforcement Learning." presentation "Predicting Human Choice in a Multi-Demensional N-Armed Bandit Task Using Actor-Critic Feature Reinforcement Learning.", RLDM 2019
Malloy, T. J., Lerch, R. A., Fang, Z. , Sims, C. R.

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