Publications on Jonas Adlerhttps://jonasadler.com/publications/Recent content in Publications on Jonas AdlerHugoenTue, 17 Jun 2025 00:00:00 +0000Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilitieshttps://jonasadler.com/publications/gemini-2-5/Tue, 17 Jun 2025 00:00:00 +0000https://jonasadler.com/publications/gemini-2-5/The Gemini 2.5 model family, advancing reasoning, multimodality, long context and agentic capabilities.Accurate structure prediction of biomolecular interactions with AlphaFold 3https://jonasadler.com/publications/alphafold3/Wed, 08 May 2024 00:00:00 +0000https://jonasadler.com/publications/alphafold3/AlphaFold 3 — accurate prediction of the structure of complexes including proteins, nucleic acids, ligands and more. (Nature)Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contexthttps://jonasadler.com/publications/gemini-1-5/Fri, 08 Mar 2024 00:00:00 +0000https://jonasadler.com/publications/gemini-1-5/A compute-efficient multimodal model with recall and reasoning over millions of tokens of context.Gemini: A Family of Highly Capable Multimodal Modelshttps://jonasadler.com/publications/gemini/Wed, 06 Dec 2023 00:00:00 +0000https://jonasadler.com/publications/gemini/Google DeepMind’s family of natively multimodal models across text, images, audio, video and code.Continuous diffusion for categorical datahttps://jonasadler.com/publications/continuous-diffusion/Mon, 28 Nov 2022 00:00:00 +0000https://jonasadler.com/publications/continuous-diffusion/A framework (CDCD) for modelling categorical data such as text with continuous diffusion models.Highly accurate protein structure prediction for the human proteomehttps://jonasadler.com/publications/alphafold-human-proteome/Thu, 22 Jul 2021 00:00:00 +0000https://jonasadler.com/publications/alphafold-human-proteome/Applying AlphaFold at scale to predict structures across the entire human proteome. (Nature)Highly accurate protein structure prediction with AlphaFoldhttps://jonasadler.com/publications/alphafold/Thu, 15 Jul 2021 00:00:00 +0000https://jonasadler.com/publications/alphafold/AlphaFold — the deep learning system that solved the protein structure prediction problem. (Nature)Accelerated Forward-Backward Optimization using Deep Learninghttps://jonasadler.com/publications/accelerated_fb/Wed, 12 May 2021 00:00:00 +0000https://jonasadler.com/publications/accelerated_fb/Provably convergent convex optimization using Deep Learning.Deep Bayesian Inversionhttps://jonasadler.com/publications/deep_bayesian/Fri, 16 Nov 2018 00:00:00 +0000https://jonasadler.com/publications/deep_bayesian/We use deep learning to perform bayesian inversion.Task adapted reconstruction for inverse problemshttps://jonasadler.com/publications/task_adapted_recon/Mon, 27 Aug 2018 00:00:00 +0000https://jonasadler.com/publications/task_adapted_recon/Task adapted reconstruction for inverse problems.Deep Learning Framework for Digital Breast Tomosynthesis Reconstructionhttps://jonasadler.com/publications/deep_learning_digital_breast_tomosynthesis/Tue, 14 Aug 2018 00:00:00 +0000https://jonasadler.com/publications/deep_learning_digital_breast_tomosynthesis/Learned Primal-Dual for DBTData-driven Nonsmooth Optimizationhttps://jonasadler.com/publications/data_driven_nonsmooth_optimization/Thu, 02 Aug 2018 00:00:00 +0000https://jonasadler.com/publications/data_driven_nonsmooth_optimization/We show how learning can be applied to proximal Primal-Dual schemes while still guaranteeing convergence.EDS tomographic reconstruction regularized by total nuclear variation joined with HAADF-STEM tomographyhttps://jonasadler.com/publications/eds_tomo_recon/Wed, 01 Aug 2018 00:00:00 +0000https://jonasadler.com/publications/eds_tomo_recon/UltramicroscopyBanach Wasserstein GANhttps://jonasadler.com/publications/bwgan/Mon, 18 Jun 2018 00:00:00 +0000https://jonasadler.com/publications/bwgan/Generalizing Wasserstein GAN with gradient penalty to Banach Spaces.Learning to solve inverse problems using Wasserstein losshttps://jonasadler.com/publications/learning_inverse_wasserstein/Mon, 30 Oct 2017 00:00:00 +0000https://jonasadler.com/publications/learning_inverse_wasserstein/Compute the image-space Wasserstein loss using Sinkhorn iterations and use it for learning to solve inverse problems.Model based learning for accelerated, limited-view 3D photoacoustic tomographyhttps://jonasadler.com/publications/model-based-learning-photoacoustic/Thu, 31 Aug 2017 00:00:00 +0000https://jonasadler.com/publications/model-based-learning-photoacoustic/Using gradient boosting we scale learned iterative reconstruction to a very large scale inverse problem.Learned Primal-Dual Reconstructionhttps://jonasadler.com/publications/learned-primal-dual/Wed, 05 Jul 2017 00:00:00 +0000https://jonasadler.com/publications/learned-primal-dual/By learning in both reconstruction and data domain, we can improve image reconstruction.GPUMCI: a flexible platform for x-ray imaging on the GPUhttps://jonasadler.com/publications/gpumci/Thu, 01 Jun 2017 00:00:00 +0000https://jonasadler.com/publications/gpumci/Fully3DSolving ill-posed inverse problems using iterative deep neural networkshttps://jonasadler.com/publications/learning-to-solve/Thu, 13 Apr 2017 00:00:00 +0000https://jonasadler.com/publications/learning-to-solve/A deep learning scheme for solving inverse problems that incorporates knowledge about the data formation process, improving both speed and quality compared to classical methods.A modified fuzzy C means algorithm for shading correction in craniofacial CBCT imageshttps://jonasadler.com/publications/a_modified_fuzzy_c_means/Sun, 01 Jan 2017 00:00:00 +0000https://jonasadler.com/publications/a_modified_fuzzy_c_means/IFMBE ProceedingsSpectral CT reconstruction with anti-correlated noise model and joint priorhttps://jonasadler.com/publications/spectral_ct_anticorrelated/Sun, 01 Jan 2017 00:00:00 +0000https://jonasadler.com/publications/spectral_ct_anticorrelated/Fully3D