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Steeg, Greg Ver

  1. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified\n Neighborhood Mixing
    2019/04/30 by Sami Abu-El-Haija, Bryan Perozzi, Abu-El-Haija, Sami +13 · 29 citations
    Computer Science · Health Professions · #Advanced Graph Neural Networks #Artificial Intelligence in Healthcare #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Social and Information Networks (cs.SI)
  2. Efficient Estimation of Mutual Information for Strongly Dependent Variables
    2014/11/07 by Shuyang Gao, Gao, Shuyang, Greg Ver Steeg +3 · 16 citations
    Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an)
  3. Invariant Representations without Adversarial Training
    2018/05/24 by Moyer, Daniel, Gao, Shuyang, Brekelmans, Rob +2 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
    2021/01/11 by Gupta, Umang, Ferber, Aaron M, Dilkina, Bistra +1 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Information-Theoretic Diffusion
    2023/02/07 by Kong, Xianghao, Brekelmans, Rob, Steeg, Greg Ver · 7 citations
    #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  6. Prompt Perturbation Consistency Learning for Robust Language Models
    2024/02/24 by Qiang, Yao, Subhrangshu Nandi, Nandi, Subhrangshu +10 · 8 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  7. Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
    2022/03/23 by Umang Gupta, Gupta, Umang, Jwala Dhamala +16 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text Readability and Simplification
  8. Scanner Invariant Representations for Diffusion MRI Harmonization
    2019/04/10 by Moyer, Daniel, Steeg, Greg Ver, Tax, Chantal M. W. +1 · 3 citations
    #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
  9. Interpretable Diffusion via Information Decomposition
    2023/10/12 by Kong, Xianghao, Liu, Ollie, Li, Han +2 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
  10. Auto-Encoding Total Correlation Explanation
    2018/02/16 by Shuyang Gao, Gao, Shuyang, Rob Brekelmans +5 · 5 citations
    Computer Science · #Time Series Analysis and Forecasting #Neural Networks and Applications #Algorithms and Data Compression
  11. Information-theoretic generalization bounds for black-box learning algorithms
    2021/10/04 by Harutyunyan, Hrayr, Raginsky, Maxim, Steeg, Greg Ver +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
    2020/07/01 by Rob Brekelmans, Vaden Masrani, Brekelmans, Rob +7 · 1 voice · 2 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Nuclear reactor physics and engineering #Statistical Methods and Inference #cs.LG #stat.ML
  13. Invariant Representations through Adversarial Forgetting
    2019/11/11 by Jaiswal, Ayush, Moyer, Daniel, Steeg, Greg Ver +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. q-Paths: Generalizing the Geometric Annealing Path using Power Means
    2021/07/01 by Masrani, Vaden, Brekelmans, Rob, Bui, Thang +4 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Information Transfer in Social Media
    2011/10/12 by Greg Ver Steeg, Steeg, Greg Ver, Aram Galstyan +1 · 1 citation
    Physics and Astronomy · Social Sciences · #Applications (stat.AP) #Complex Network Analysis Techniques #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #FOS: Physical sciences #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  16. Information-Theoretic Measures of Influence Based on Content Dynamics
    2012/08/22 by Steeg, Greg Ver, Galstyan, Aram · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  17. Maximally Informative Hierarchical Representations of High-Dimensional Data
    2014/10/27 by Steeg, Greg Ver, Galstyan, Aram · 1 citation
    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an)
  18. Estimating Mutual Information by Local Gaussian Approximation
    2015/08/03 by Gao, Shuyang, Steeg, Greg Ver, Galstyan, Aram · 1 citation
    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Statistics and Probability (physics.data-an)
  19. Variational Information Maximization for Feature Selection
    2016/06/09 by Gao, Shuyang, Steeg, Greg Ver, Galstyan, Aram · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Maximizing Multivariate Information with Error-Correcting Codes
    2018/11/27 by Reing, Kyle, Steeg, Greg Ver, Galstyan, Aram · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  21. Improving Generalization by Controlling Label-Noise Information in Neural Network Weights
    2020/02/19 by Harutyunyan, Hrayr, Reing, Kyle, Steeg, Greg Ver +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Compressing Deep Neural Networks via Layer Fusion
    2020/07/29 by James O’Neill, Neill, James O', Greg Ver Steeg +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  23. Attributing Fair Decisions with Attention Interventions
    2021/09/08 by Ninareh Mehrabi, Umang Gupta, Mehrabi, Ninareh +7 · 1 citation
    Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
  24. Partial Identification of Dose Responses with Hidden Confounders
    2022/04/24 by Marmarelis, Myrl G., Haddad, Elizabeth, Jesson, Andrew +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  25. Inferring topological transitions in pattern-forming processes with self-supervised learning
    2022/03/19 by Abram, Marcin, Burghardt, Keith, Steeg, Greg Ver +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #I.2.6 #I.4.7 #I.5.4 #I.6.m #J.2 #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  26. Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
    2024/02/14 by Achille, Alessandro, Steeg, Greg Ver, Liu, Tian Yu +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Towards Sparsified Federated Neuroimaging Models via Weight Pruning
    2022/08/24 by Stripelis, Dimitris, Gupta, Umang, Dhinagar, Nikhil +3 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
  28. Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning
    2023/05/30 by Umang Gupta, Gupta, Umang, Aram Galstyan +3 · 1 citation
    Computer Science · #Speech Recognition and Synthesis #Topic Modeling #Domain Adaptation and Few-Shot Learning
  29. Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
    2023/12/22 by Shahgir, Haz Sameen, Kong, Xianghao, Steeg, Greg Ver +1 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Improved Brain Age Estimation with Slice-based Set Networks
    2021/02/08 by Gupta, Umang, Lam, Pradeep K., Steeg, Greg Ver +1 · 1 citation
    #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
  31. Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
    2024/07/12 by Yunshu Wu, Yingtao Luo, Wu, Yunshu +7 · 1 citation
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
  32. Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models
    2023/03/02 by Umang Gupta, Tamoghna Chattopadhyay, Gupta, Umang +9 · 1 citation
    Engineering · Medicine · #COVID-19 diagnosis using AI #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Imaging and Analysis #Quantitative Methods (q-bio.QM) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  33. Exploring the Design Space of Diffusion Bridge Models
    2024/10/28 by Shaorong Zhang, Zhang, Shaorong, Yuanbin Cheng +3 · 1 citation
    Engineering · #Concrete Corrosion and Durability #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Structural Engineering and Vibration Analysis
  34. Diffusion Bridge Models for 3D Medical Image Translation
    2025/04/21 by Zhang, Shaorong, Chattopadhyay, Tamoghna, Thomopoulos, Sophia I. +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  35. KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs
    2025/04/09 by Elan Markowitz, Markowitz, Elan, Krupa Galiya +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Multimodal Machine Learning Applications