Parallel sparse FFT. - Cheng Wang; Mauricio Araya-Polo; Sunita Chandrasekaran; Amik St.-Cyr; Barbara M. Chapman; Detlef Hohl (IA3@SC, 2013)

Automatic fault localization using the generalized Earth Mover's distance. - Ludwig Schmidt; Chinmay Hegde; Piotr Indyk; Jonathan Kane; Ligang Lu; Detlef Hohl (ICASSP, 2014)

Using GPU Shared Memory with a Directive-Based Approach. - Wei Ding 003; Ligang Lu; Mauricio Araya-Polo; Amik St.-Cyr; Detlef Hohl; Barbara M. Chapman (IPDPS Workshops, 2014)

Seismic feature extraction using steiner tree methods. - Ludwig Schmidt; Chinmay Hegde; Piotr Indyk; Ligang Lu; Xingang Chi; Detlef Hohl (ICASSP, 2015)

Simulating stencil-based application on future Xeon Phi processor. - Chitra Natarajan; Carl J. Beckmann; Anthony Nguyen; Mauricio Araya-Polo; Tryggve Fossum; Detlef Hohl (PMBS@SC, 2015)

Performance Analysis and Optimization of a Hybrid Seismic Imaging Application. - Sri Raj Paul; Mauricio Araya-Polo; John M. Mellor-Crummey; Detlef Hohl (ICCS, 2016)

Fast SNR and rate control for JPEG XR. - Yiding Liu; Zixiang Xiong; Ligang Lu; Detlef Hohl (ICSPCS, 2016)

Performance Analysis and Optimization of a Hybrid Distributed Reverse Time Migration Application. - Sri Raj Paul; John M. Mellor-Crummey; Mauricio Araya-Polo; Detlef Hohl (CoRR, 2016)

HEVC-based compression of high bit-depth 3D seismic data. - Milos Radosavljevic; Zixiang Xiong; Ligang Lu; Detlef Hohl; Dejan Vukobratovic (ICIP, 2017)

A data-driven workflow for predicting horizontal well production using vertical well logs. - Jorge Guevara Diaz; Matthias Kormaksson; Bianca Zadrozny; Ligang Lu; John Tolle; Tyler Croft; Mingqi Wu; Jan Limbeck; Detlef Hohl (CoRR, 2017)

High Bit-Depth Seismic Data Compression: A Novel Codec Under the Framework of HEVC. - Milos Radosavljevic; Zixiang Xiong; Ligang Lu; Detlef Hohl; Dejan Vukobratovic (IEEE Access, 2020)

Deep Neural Network Learning with Second-Order Optimizers - a Practical Study with a Stochastic Quasi-Gauss-Newton Method. - Christopher Thiele; Mauricio Araya-Polo; Detlef Hohl (CoRR, 2020)

Multi-modal graph neural networks for localized off-grid weather forecasting. - Qidong Yang; Jonathan Giezendanner; Daniel Salles Civitarese; Johannes Jakubik; Eric Schmitt; Anirban Chandra; Jeremy Vila; Detlef Hohl; Christopher Hill; Campbell D. Watson; Sherrie Wang (CoRR, 2024)

Fourier Neural Operator based surrogates for CO2 storage in realistic geologies. - Anirban Chandra; Marius Koch; Suraj Pawar; Aniruddha Panda; Kamyar Azizzadenesheli; Jeroen Snippe; Faruk O. Alpak; Farah Hariri; Clement Etienam; Pandu Devarakota; Anima Anandkumar; Detlef Hohl (CoRR, 2025)

AI and the Net-Zero Journey: Energy Demand, Emissions, and the Potential for Transition. - Pandu Devarakota; Nicolas Tsesmetzis; Faruk O. Alpak; Apurva Gala; Detlef Hohl (CoRR, 2025)