Dan Shiebler - RankMe

16 papers A 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Kan Extensions in Data Science and Machine Learning. CoRR Dan Shiebler
2021	J	`jnl`	Categorical Stochastic Processes and Likelihood. Compositionality Dan Shiebler
2021	J	`jnl`	Category Theory in Machine Learning. CoRR Dan Shiebler, Bruno Gavranovic, Paul W. Wilson
2021	J	`jnl`	Flattening Multiparameter Hierarchical Clustering Functors. CoRR Dan Shiebler
2021	—	`conf`	Functorial Manifold Learning and Overlapping Clustering. ACT Dan Shiebler
2021	—	`conf`	Generalized Optimization: A First Step Towards Category Theoretic Learning Theory. ICO Dan Shiebler
2021	J	`jnl`	Generalized Optimization: A First Step Towards Category Theoretic Learning Theory. CoRR Dan Shiebler
2021	J	`jnl`	Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter. CoRR Alim Virani, Jay Baxter, Dan Shiebler, Philip Gautier, Shivam Verma, Yan Xia, Apoorv Sharma, Sumit Binnani, Linlin Chen, Chenguang Yu
2020	J	`jnl`	Categorical Stochastic Processes and Likelihood. CoRR Dan Shiebler
2020	—	`ch.`	Developments in AI and Machine Learning for Neuroimaging. AI and ML for Digital Pathology Shane O'Sullivan, Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger, Dan Shiebler, Pradip Moon, Claudio Angione
2020	J	`jnl`	Incremental Monoidal Grammars. CoRR Dan Shiebler, Alexis Toumi, Mehrnoosh Sadrzadeh
2020	A	`conf`	Tuning Word2vec for Large Scale Recommendation Systems. RecSys Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein
2020	J	`jnl`	Tuning Word2vec for Large Scale Recommendation Systems. CoRR Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein
2019	—	`conf`	Learning what and where to attend. ICLR (Poster) Drew Linsley, Dan Shiebler, Sven Eberhardt, Thomas Serre
2018	J	`jnl`	A Correlation Maximization Approach for Cross Domain Co-Embeddings. CoRR Dan Shiebler
2018	J	`jnl`	Fighting Redundancy and Model Decay with Embeddings. CoRR Dan Shiebler, Luca Belli, Jay Baxter, Hanchen Xiong, Abhishek Tayal