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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 240: Machine Learning in Computational Biology, 30-1 December 2023, Seattle, WA, USA

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Editors: David A. Knowles, Sara Mostafavi

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Filter Authors: Filter Titles:

A Masked Image Modeling Approach to CyCIF Panel Reduction and Marker Imputation

; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:1-9

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Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction

You Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:10-22

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Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks

Renming Liu, Arjun Krishnan; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:23-59

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Disentangling shared and private latent factors in multimodal Variational Autoencoders

Kaspar Märtens, Christopher Yau; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:60-75

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Evaluating Tuning Strategies for Sequence Generation with Protein Language Models

Andrea Nathansen, Kevin Klein, Bernhard Renard, Melania Nowicka, Jakub M Bartoszewicz; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:76-89

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A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data

Xinming Tu, Jan-Christian Hütter, Zitong Jerry Wang, Takamasa Kudo, Aviv Regev, Romain Lopez; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:90-100

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A Transductive Approach to Survival Ranking for Cancer Risk Stratification

Ethar Alzaid, Muhammad Dawood, Fayyaz Minhas; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:101-109

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Towards creating longer genetic sequences with GANs: Generation in principal component space

Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:110-122

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On Modelability and Generalizability: Are Machine Learning Models for Drug Synergy Exploiting Artefacts and Biases in Available Data?

Arushi G. K. Majha, Ian Stott, Andreas Bender; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:123-134

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A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images

Jennifer Yu, Zhenqin Wu, Aaron Mayer, Alexandro Trevino, James Zou; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:135-147

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ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings

Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:148-162

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Investigating RNA splicing as a source of cellular diversity using a binomial mixture model

Keren Isaev, David A. Knowles; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:163-175

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Model-based imputation enables improved resolution for identifying differential chromatin contacts in single-cell Hi-C data

Neda Shokraneh Kenari, Megan Andrews, Max Libbrecht; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:176-193

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TCR-BERT: learning the grammar of T-cell receptors for flexible antigen-binding analyses

Kevin E. Wu, Kathryn Yost, Bence Daniel, Julia Belk, Yu Xia, Takeshi Egawa, Ansuman Satpathy, Howard Chang, James Zou; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:194-229

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H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing

Gian Marco Visani, William Galvin, Michael Pun, Armita Nourmohammad; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:230-249

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GUANinE v1.0: Benchmark Datasets for Genomic AI Sequence-to-Function Models

eyes s. robson, Nilah Ioannidis; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:250-266

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Improving transformer secondary structure predictions with secondary structure ”fixing” task

Juneki Hong, Dezhong Deng, David A. Hendrix; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:267-278

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Characterizing uncertainty in predictions of genomic sequence-to-activity models

Ayesha Bajwa, Ruchir Rastogi, Pooja Kathail, Richard W. Shuai, Nilah Ioannidis; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:279-297

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