Dan Shiebler

According to our database, Dan Shiebler authored at least 13 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Kan Extensions in Data Science and Machine Learning.

Dan Shiebler

CoRR, 2022

2021

Category Theory in Machine Learning.

Dan Shiebler, Bruno Gavranovic, Paul W. Wilson

CoRR, 2021

Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter.

Alim Virani, Jay Baxter, Dan Shiebler, Philip Gautier, Shivam Verma, Yan Xia, Apoorv Sharma, Sumit Binnani, Linlin Chen, Chenguang Yu

CoRR, 2021

Flattening Multiparameter Hierarchical Clustering Functors.

Dan Shiebler

CoRR, 2021

Functorial Manifold Learning and Overlapping Clustering.

Dan Shiebler

Proceedings of the Fourth International Conference on Applied Category Theory, 2021

Categorical Stochastic Processes and Likelihood.

Dan Shiebler

Compositionality, 2021

Generalized Optimization: A First Step Towards Category Theoretic Learning Theory.

Dan Shiebler

ICO, 2021

2020

Developments in AI and Machine Learning for Neuroimaging.

Shane O'Sullivan, Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger, Dan Shiebler, Pradip Moon, Claudio Angione

AI and ML for Digital Pathology, 2020

Incremental Monoidal Grammars.

Dan Shiebler, Alexis Toumi, Mehrnoosh Sadrzadeh

CoRR, 2020

Tuning Word2vec for Large Scale Recommendation Systems.

Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Learning what and where to attend.

Drew Linsley, Dan Shiebler, Sven Eberhardt, Thomas Serre

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Fighting Redundancy and Model Decay with Embeddings.

Dan Shiebler, Luca Belli, Jay Baxter, Hanchen Xiong, Abhishek Tayal

CoRR, 2018

A Correlation Maximization Approach for Cross Domain Co-Embeddings.

Dan Shiebler

CoRR, 2018