Kian Kenyon-Dean

According to our database, Kian Kenyon-Dean authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models.

Konstantin Donhauser, Kristina Ulicna, Gemma E. Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason Hartford

CoRR, 2024

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy.

Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Marta M. Fay, Juan Sebastian Rodriguez Vera, Imran S. Haque, Oren Kraus

CoRR, 2024

Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all.

Ihab Bendidi, Shawn Whitfield, Kian Kenyon-Dean, Hanene Ben Yedder, Yassir El Mesbahi, Emmanuel Noutahi, Alisandra K. Denton

CoRR, 2024

Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology.

Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Dominique Beaini, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Masked autoencoders are scalable learners of cellular morphology.

Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam Fallah, Peter McLean, Jess Leung, Vasudev Sharma, Ayla Khan, Jia Balakrishnan, Safiye Celik, Maciej Sypetkowski, Chi Vicky Cheng, Kristen Morse, Maureen Makes, Ben Mabey, Berton Earnshaw

CoRR, 2023

2020

Deconstructing word embedding algorithms.

Kian Kenyon-Dean, Edward Newell, Jackie Chi Kit Cheung

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Efficient Task-Specific Meta-Embeddings with Word Prisms.

Jingyi He, Konstantinos C. Tsiolis, Kian Kenyon-Dean, Jackie Chi Kit Cheung

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Deconstructing and reconstructing word embedding algorithms.

Edward Newell, Kian Kenyon-Dean, Jackie Chi Kit Cheung

CoRR, 2019

Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form.

Kian Kenyon-Dean

CoRR, 2019

2018

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss.

Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung, Doina Precup

CoRR, 2018

Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization.

Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Sentiment Analysis: It's Complicated!

Kian Kenyon-Dean, Eisha Ahmed, Scott Fujimoto, Jeremy Georges-Filteau, Christopher Glasz, Barleen Kaur, Auguste Lalande, Shruti Bhanderi, Robert Belfer, Nirmal Kanagasabai, Roman Sarrazingendron, Rohit Verma, Derek Ruths

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2016

Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms.

Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016