Showing 1–20 of 26 results
/ Date/ Name
Jan 28, 2022FastFlows: Flow-Based Models for Molecular Graph GenerationJan 28, 2022Benchmarking Resource Usage for Efficient Distributed Deep LearningFeb 15, 2023SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular ConformersJun 1, 2020High-throughput search for magnetic and topological order in transition metal oxidesJul 5, 2019Feature-Based Image Clustering and Segmentation Using WaveletsMay 31, 2023Protein Design with Guided Discrete DiffusionJun 8, 2023Protein Discovery with Discrete Walk-Jump SamplingMar 31, 2022SELFIES and the future of molecular string representationsOct 19, 2022A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequencesJul 4, 2018Fisher information analysis of list-mode SPECT emission data for joint estimation of activity and attenuation distributionDec 6, 2019Generating Anthropomorphic Phantoms Using Fully Unsupervised Deformable Image Registration with Convolutional Neural NetworksApr 13, 2021ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image RegistrationDec 9, 2021Bringing Atomistic Deep Learning to Prime TimeDec 6, 2021Scalable Geometric Deep Learning on Molecular GraphsDec 6, 2017Universal fluctuations in growth dynamics of economic systemsMar 17, 2025Strain Problems got you in a Twist? Try StrainRelief: A Quantum-Accurate Tool for Ligand Strain CalculationsMay 13, 2025The Open Molecules 2025 (OMol25) Dataset, Evaluations, and ModelsNov 13, 2021The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency RegimesNov 19, 2021TransMorph: Transformer for unsupervised medical image registrationNov 9, 2024Concept Bottleneck Language Models For protein design