C. Bayan Bruss

According to our database1, C. Bayan Bruss authored at least 15 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Double-Hashing Algorithm for Frequency Estimation in Data Streams.
CoRR, 2022

Counterfactual Explanations via Latent Space Projection and Interpolation.
CoRR, 2021

MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data.
CoRR, 2021

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.
CoRR, 2021

Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations.
CoRR, 2020

DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue.
CoRR, 2020

Machine Learning for Temporal Data in Finance: Challenges and Opportunities.
CoRR, 2020

Towards Ground Truth Explainability on Tabular Data.
CoRR, 2020

Quantifying Challenges in the Application of Graph Representation Learning.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Navigating the dynamics of financial embeddings over time.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

On the Interpretability and Evaluation of Graph Representation Learning.
CoRR, 2019

DeepTrax: Embedding Graphs of Financial Transactions.
CoRR, 2019

Graph Embeddings at Scale.
CoRR, 2019

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

DeepTrax: Embedding Graphs of Financial Transactions.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019