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Author

C. Bayan Bruss

Observed names: Bruss, C. Bayan, C. Bruss
ORCID: 0009-0006-2260-7518
Observed ORCID: 0009-0006-2260-7518
OpenAlex ID: A5017427561
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
2021 · Somepalli, Gowthami, Goldblum, Micah, et al. · arXiv (Cornell University) · 560
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Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
2019 · Anh Truong, Austin Walters, et al. · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 317
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DeepTrax: Embedding Graphs of Financial Transactions
2019 · Anish Khazane, Jonathan Rider, et al. · International Conference on Machine Learning and Applications · 60
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Transfer Learning with Deep Tabular Models
2022 · Levin, Roman, Cherepanova, Valeriia, et al. · arXiv (Cornell University) · 58
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BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence
2022 · Hameed, Isha, Sharpe, Samuel, et al. · arXiv (Cornell University) · 34
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Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations
2020 · Balasubramanian, Rachana, Sharpe, Samuel, et al. · arXiv (Cornell University) · 28
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Simplifying Neural Network Training Under Class Imbalance
2023 · Ravid Shwartz-Ziv, Micah Goldblum, et al. · neural information processing systems · 21
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A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
2023 · Valeriia Cherepanova, Roman Levin, et al. · neural information processing systems · 21
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From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management
2023 · Xueying Ding, Nikita Seleznev, et al. · ACM International Conference on AI in Finance (ICAIF) · 18
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DynaGuard: A Dynamic Guardian Model With User-Defined Policies
2025 · Hoover, Monte, Baherwani, Vatsal, et al. · arXiv (Cornell University) · 17
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Towards Ground Truth Explainability on Tabular Data
2020 · Barr, Brian, Xu, Ke, et al. · arXiv (Cornell University) · 17
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On the Interpretability and Evaluation of Graph Representation Learning
2019 · Gogoglou, Antonia, Bruss, C. Bayan, et al. · arXiv (Cornell University) · 13
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Counterfactual Explanations via Latent Space Projection and Interpolation
2021 · Barr, Brian, Harrington, Matthew R., et al. · arXiv (Cornell University) · 12
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Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas
2006 · C. Bayan Bruss, Felix Bollenbeck, et al. · PUB – Publications at Bielefeld University (Bielefeld University) · 11
Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS
2007 · Thomas Villmann, Marc Strickert, et al. · PUB – Publications at Bielefeld University (Bielefeld University) · 10
Just How Flexible are Neural Networks in Practice?
2024 · Shwartz-Ziv, Ravid, Goldblum, Micah, et al. · arXiv (Cornell University) · 9
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Explaining National Trends in Terrestrial Water Storage
2019 · C. Bayan Bruss, Roshanak Nateghi, et al. · Frontiers in Environmental Science · 9
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MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
2021 · Bansal, Arpit, Goldblum, Micah, et al. · arXiv (Cornell University) · 8
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Machine Learning for Temporal Data in Finance: Challenges and Opportunities
2020 · Wittenbach, Jason, d'Alessandro, Brian, et al. · RePEc: Research Papers in Economics · 6
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TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting
2026 · Ankireddy, Sravan Kumar, Seleznev, Nikita, et al. · arXiv (Cornell University) · 5
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Navigating the dynamics of financial embeddings over time
2020 · Antonia Gogoglou, Brian Nguyen, et al. · ACM International Conference on AI in Finance (ICAIF) · 5
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Graph Embeddings at Scale
2019 · Bruss, C. Bayan, Khazane, Anish, et al. · arXiv (Cornell University) · 4
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The Hidden Bias of Process Reward Models:PRISM for Rewarding the Right Reasoning
2026 · Agrawal, Aakriti, Chakraborty, Souradip, et al. · arXiv (Cornell University) · 3
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Revisiting RAG Retrievers: An Information Theoretic Benchmark
2026 · Wenqing Zheng, Dmitri Kalaev, et al. · Automated Knowledge Base Construction · 3
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Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
2024 · Andres Potapczynski, Shikai Qiu, et al. · neural information processing systems · 3
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Works count: 33
Citation count: 1,265
H-index: 12
I10-index: 15
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