Augmentation Inside the Network. - Maciej Sypetkowski; Jakub Jasiulewicz; Zbigniew Wojna (CoRR, 2020)

Insights From the NeurIPS 2021 NetHack Challenge. - Eric Hambro; Sharada P. Mohanty; Dmitrii Babaev; Minwoo Byeon; Dipam Chakraborty; Edward Grefenstette; Minqi Jiang; DaeJin Jo; Anssi Kanervisto; Jongmin Kim 006; Sungwoong Kim; Robert Kirk; et al. (NeurIPS (Competition and Demos), 2021)

RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods. - Maciej Sypetkowski; Morteza Rezanejad; Saber Saberian; Oren Kraus; John Urbanik; James Taylor; Ben Mabey; Mason Victors; Jason Yosinski; Alborz Rezazadeh Sereshkeh; Imran S. Haque; Berton Earnshaw (CVPR Workshops, 2023)

Spatial Latent Representations in Generative Adversarial Networks for Image Generation. - Maciej Sypetkowski (CoRR, 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; et al. (CoRR, 2023)

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. - Dominique Beaini; Shenyang Huang; Joao Alex Cunha; Zhiyi Li; Gabriela Moisescu-Pareja; Oleksandr Dymov; Samuel Maddrell-Mander; Callum McLean; Frederik Wenkel; Luis Müller; Jama Hussein Mohamud; Ali Parviz; et al. (CoRR, 2023)

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; et al. (CVPR, 2024)

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. - Dominique Beaini; Shenyang Huang; Joao Alex Cunha; Zhiyi Li; Gabriela Moisescu-Pareja; Oleksandr Dymov; Samuel Maddrell-Mander; Callum McLean; Frederik Wenkel; Luis Müller; Jama Hussein Mohamud; Ali Parviz; et al. (ICLR, 2024)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. - Philip Fradkin; Puria Azadi Moghadam; Karush Suri; Frederik Wenkel; Ali Bashashati; Maciej Sypetkowski; Dominique Beaini (NeurIPS, 2024)

On the Scalability of GNNs for Molecular Graphs. - Maciej Sypetkowski; Frederik Wenkel; Farimah Poursafaei; Nia Dickson; Karush Suri; Philip Fradkin; Dominique Beaini (NeurIPS, 2024)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. - Philip Fradkin; Puria Azadi; Karush Suri; Frederik Wenkel; Ali Bashashati; Maciej Sypetkowski; Dominique Beaini (CoRR, 2024)