Title
Generative Distribution Embeddings Nic Fishman Gokul Gowri Peng Yin Jonathan Gootenberg Omar Abudayyeh SyDa 818 0 0 23 May 2025
Virtual Cells: Predict, Explain, Discover Emmanuel Noutahi Jason Hartford Prudencio Tossou Shawn T. Whitfield Alisandra K. Denton ... Emmanuel Bengio Dominique Beaini Christopher Gibson Daniel Cohen Berton Earnshaw 41 0 0 20 May 2025
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction Sepideh Maleki Jan-Christian Huetter Kangway V Chuang Gabriele Scalia Tommaso Biancalani Tommaso Biancalani AI4CE 109 2 0 18 Dec 2024
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language Yoel Shoshan Moshiko Raboh Michal Ozery-Flato Vadim Ratner Alex Golts ... Sharon Kurant Joseph A. Morrone Parthasarathy Suryanarayanan Michal Rosen-Zvi Efrat Hexter 63 1 0 28 Oct 2024
LipidBERT: A Lipid Language Model Pre-trained on METiS de novo Lipid Library Tianhao Yu Cai Yao Zhuorui Sun Feng Shi Lin Zhang ... Xicheng Zhang Jiali Zou Wenshou Wang C. Lai Kai Wang 26 3 0 12 Aug 2024
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf Roohani Jian Vora Qian Huang Zach Steinhart Alex Marson Percy Liang J. Leskovec Percy Liang Jure Leskovec LLMAG LM&Ro 98 16 0 27 May 2024
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder Michael D. Bereket Theofanis Karaletsos DRL 30 18 0 05 Nov 2023
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution Eric N. D. Nguyen Michael Poli Marjan Faizi A. Thomas Callum Birch-Sykes ... Stefano Massaroli Yoshua Bengio Stefano Ermon S. Baccus Christopher Ré MedIm 56 239 0 27 Jun 2023
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor Wesley J. Maddox Pavel Izmailov A. Wilson BDL UD 47 50 0 30 Mar 2022
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 135 607 0 15 Jul 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 408 40,217 0 22 Oct 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 123 1,734 0 29 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 507 41,106 0 28 May 2020
Energy-based Graph Convolutional Networks for Scoring Protein Docking Models Yue Cao Yang Shen 33 45 0 28 Dec 2019
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity Joseph Gomes Bharath Ramsundar Evan N. Feinberg Vijay S. Pande 44 192 0 30 Mar 2017