MHGrid: Towards an Ideal Optimization Environment for Global Optimization Problems Using Grid Computing. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (PDCAT, 2007)

A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (IEEE SCC (2), 2008)

Model for dynamic grain sizing through compound parallelization for an optimization problem solving grid application. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (GRID, 2008)

SOAG: Service Oriented Architectured Grids and adoption of application specific QoS attributes. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (GRID, 2008)

Solving Large Instances of Capacitated Vehicle Routing Problem over Cell BE. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (HPCC, 2008)

A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (HPCC, 2008)

Parallel GEAs with Linkage Analysis over Grid. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (Linkage in Evolutionary Computation, 2008)

Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (PDCAT, 2009)

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (Genet. Program. Evolvable Mach., 2009)

A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (IEEE Congress on Evolutionary Computation, 2010)

A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (PDPTA, 2010)

The design, usage, and performance of GridUFO: A Grid based Unified Framework for Optimization. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (Future Gener. Comput. Syst., 2010)

Advanced genetic algorithm to solve MINLP problems over GPU. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (IEEE Congress on Evolutionary Computation, 2011)

Optimization of parallel Genetic Algorithms for nVidia GPUs. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (IEEE Congress on Evolutionary Computation, 2011)

Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (LION, 2011)

A Framework for Cloud Embedded Web Services Utilized by Cloud Applications. - Mohamed Wahib; Asim Munawar; Masaharu Munetomo; Kiyoshi Akama (SERVICES, 2011)

Highly optimized full GPU-acceleration of non-hydrostatic weather model SCALE-LES. - Mohamed Wahib; Naoya Maruyama (CLUSTER, 2013)

arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU. - Asim Munawar; Mohamed Wahib; Masaharu Munetomo; Kiyoshi Akama (Massively Parallel Evolutionary Computation on GPGPUs, 2013)

Scalable Kernel Fusion for Memory-Bound GPU Applications. - Mohamed Wahib; Naoya Maruyama (SC, 2014)

Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications. - Mohamed Wahib; Naoya Maruyama (HPDC, 2015)

Data-centric GPU-based adaptive mesh refinement. - Mohamed Wahib; Naoya Maruyama (IA3@SC, 2015)

Daino: a high-level framework for parallel and efficient AMR on GPUs. - Mohamed Wahib; Naoya Maruyama; Takayuki Aoki (SC, 2016)

Numerical Optimization of ESA's Messenger Space Mission Benchmark. - Martin Schlueter; Mohamed Wahib; Masaharu Munetomo (EvoApplications (1), 2017)

Efficient Algorithms for the Summed Area Tables Primitive on GPUs. - Peng Chen 035; Mohamed Wahib; Shin'ichiro Takizawa; Ryousei Takano; Satoshi Matsuoka (CLUSTER, 2018)

Hierarchical Distributed-Memory Multi-Leader MPI-Allreduce for Deep Learning Workloads. - Truong Thao Nguyen; Mohamed Wahib; Ryousei Takano (CANDAR Workshops, 2018)

Topology-aware Sparse Allreduce for Large-scale Deep Learning. - Truong Thao Nguyen; Mohamed Wahib; Ryousei Takano (IPCCC, 2019)

Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches? - Jens Domke; Kazuaki Matsumura; Mohamed Wahib; Haoyu Zhang; Keita Yashima; Toshiki Tsuchikawa; Yohei Tsuji; Artur Podobas; Satoshi Matsuoka (IPDPS, 2019)

A versatile software systolic execution model for GPU memory-bound kernels. - Peng Chen 035; Mohamed Wahib; Shin'ichiro Takizawa; Ryousei Takano; Satoshi Matsuoka (SC, 2019)

iFDK: a scalable framework for instant high-resolution image reconstruction. - Peng Chen 035; Mohamed Wahib; Shin'ichiro Takizawa; Ryousei Takano; Satoshi Matsuoka (SC, 2019)

AN5D: automated stencil framework for high-degree temporal blocking on GPUs. - Kazuaki Matsumura; Hamid Reza Zohouri; Mohamed Wahib; Toshio Endo; Satoshi Matsuoka (CGO, 2020)

A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. - Lingqi Zhang 001; Mohamed Wahib; Haoyu Zhang; Satoshi Matsuoka (IPDPS, 2020)

Scaling distributed deep learning workloads beyond the memory capacity with KARMA. - Mohamed Wahib; Haoyu Zhang; Truong Thao Nguyen; Aleksandr Drozd; Jens Domke; Lingqi Zhang 001; Ryousei Takano; Satoshi Matsuoka (SC, 2020)

AIMES: Advanced Computation and I/O Methods for Earth-System Simulations. - Julian M. Kunkel; Nabeeh Jumah; Anastasiia Novikova; Thomas Ludwig 002; Hisashi Yashiro; Naoya Maruyama; Mohamed Wahib; John Thuburn (Software for Exascale Computing, 2020)

An Allreduce Algorithm and Network Co-design for Large-Scale Training of Distributed Deep Learning. - Truong Thao Nguyen; Mohamed Wahib (CCGRID, 2021)

Domain-Specific Runtime to Orchestrate Computation on Heterogeneous Platforms. - Jared O'Neal; Mohamed Wahib; Anshu Dubey; Klaus Weide; Tom Klosterman; Johann Rudi (Euro-Par Workshops, 2021)

An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. - Albert Njoroge Kahira; Truong Thao Nguyen; Leonardo Bautista-Gomez; Ryousei Takano; Rosa M. Badia; Mohamed Wahib (HPDC, 2021)

Intra-page Cache Update in SLC-mode with Partial Programming in High Density SSDs. - Jun Li 062; Minjun Li; Zhigang Cai; François Trahay; Mohamed Wahib; Balazs Gerofi; Zhiming Liu 001; Min Huang; Jianwei Liao 001 (ICPP, 2021)

Performance portable back-projection algorithms on CPUs: agnostic data locality and vectorization optimizations. - Peng Chen 035; Mohamed Wahib; Xiao Wang 004; Shin'ichiro Takizawa; Takahiro Hirofuchi; Hirotaka Ogawa; Satoshi Matsuoka (ICS, 2021)

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? - Jens Domke; Emil Vatai; Aleksandr Drozd; Peng Chen 035; Yosuke Oyama; Lingqi Zhang 001; Shweta Salaria; Daichi Mukunoki; Artur Podobas; Mohamed Wahib; Satoshi Matsuoka (IPDPS, 2021)

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (MLHPC@SC, 2021)

Scalable FBP decomposition for cone-beam CT reconstruction. - Peng Chen 035; Mohamed Wahib; Xiao Wang 004; Takahiro Hirofuchi; Hirotaka Ogawa; Ander Biguri; Richard P. Boardman; Thomas Blumensath; Satoshi Matsuoka (SC, 2021)

Efficient MPI-AllReduce for large-scale deep learning on GPU-clusters. - Truong Thao Nguyen; Mohamed Wahib; Ryousei Takano (Concurr. Comput. Pract. Exp., 2021)

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (CoRR, 2021)

Structured Adaptive Mesh Refinement Adaptations to Retain Performance Portability With Increasing Heterogeneity. - Anshu Dubey; Martin Berzins; Carsten Burstedde; Michael L. Norman; Didem Unat; Mohamed Wahib (Comput. Sci. Eng., 2021)

A computational-graph partitioning method for training memory-constrained DNNs. - Fareed Qararyah; Mohamed Wahib; Doga Dikbayir; Mehmet Esat Belviranli; Didem Unat (Parallel Comput., 2021)

GTOPX space mission benchmarks. - Martin Schlueter; Mehdi Neshat; Mohamed Wahib; Masaharu Munetomo; Markus Wagner 007 (SoftwareX, 2021)

Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning. - Truong Thao Nguyen; François Trahay; Jens Domke; Aleksandr Drozd; Emil Vatai; Jianwei Liao 001; Mohamed Wahib; Balazs Gerofi (IPDPS, 2022)

Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction. - Xiao Wang 004; Aristeidis Tsaris; Debangshu Mukherjee; Mohamed Wahib; Peng Chen 035; Mark Oxley; Olga Ovchinnikova; Jacob D. Hinkle (SC, 2022)

Learning from the Past: Regularization by Validation. - Enzhi Zhang; Mohamed Wahib; Masaharu Munetomo (SCIS/ISIS, 2022)

Persistent Kernels for Iterative Memory-bound GPU Applications. - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Satoshi Matsuoka (CoRR, 2022)

At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. - Jens Domke; Emil Vatai; Balazs Gerofi; Yuetsu Kodama; Mohamed Wahib; Artur Podobas; Sparsh Mittal; Miquel Pericàs; Lingqi Zhang 001; Peng Chen 035; Aleksandr Drozd; Satoshi Matsuoka (CoRR, 2022)

Preparing for the Future - Rethinking Proxy Apps. - Satoshi Matsuoka; Jens Domke; Mohamed Wahib; Aleksandr Drozd; Ray Bair; Andrew A. Chien; Jeffrey S. Vetter; John Shalf (CoRR, 2022)

Preparing for the Future - Rethinking Proxy Applications. - Satoshi Matsuoka; Jens Domke; Mohamed Wahib; Aleksandr Drozd; Andrew A. Chien; Raymond Bair; Jeffrey S. Vetter; John Shalf (Comput. Sci. Eng., 2022)

Flash-X: A multiphysics simulation software instrument. - Anshu Dubey; Klaus Weide; Jared O'Neal; Akash Dhruv; Sean M. Couch; James Austin Harris; Tom Klosterman; Rajeev Jain; Johann Rudi; Bronson Messer; Michael Pajkos; Jared Carlson; et al. (SoftwareX, 2022)

Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning. - Jintao Meng 001; Chen Zhuang; Peng Chen 035; Mohamed Wahib; Bertil Schmidt; Xiao Wang 004; Haidong Lan; Dou Wu; Minwen Deng; Yanjie Wei; Shengzhong Feng (IEEE Trans. Parallel Distributed Syst., 2022)

Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt). - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (GPGPU@PPoPP, 2023)

Multi-GPU Communication Schemes for Iterative Solvers: When CPUs are Not in Charge. - Ismayil Ismayilov; Javid Baydamirli; Dogan Sagbili; Mohamed Wahib; Didem Unat (ICS, 2023)

PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications. - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (ICS, 2023)

Revisiting Temporal Blocking Stencil Optimizations. - Lingqi Zhang 001; Mohamed Wahib; Peng Chen 035; Jintao Meng 001; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka (ICS, 2023)

KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training. - Truong Thao Nguyen; Balazs Gerofi; Edgar Josafat Martinez-Noriega; François Trahay; Mohamed Wahib (NeurIPS, 2023)

Training Knowledge Inheritance Through Deep Q-Net. - Enzhi Zhang; Ruqin Wang; Mohamed Wahib; Rui Zhong; Masaharu Munetomo (SMC, 2023)

Ultra-Long Sequence Distributed Transformer. - Xiao Wang 004; Isaac Lyngaas; Aristeidis Tsaris; Peng Chen 035; Sajal Dash; Mayanka Chandra Shekar; Tao Luo 014; Hong-Jun Yoon; Mohamed Wahib; John Gounley (CoRR, 2023)

Myths and legends in high-performance computing. - Satoshi Matsuoka; Jens Domke; Mohamed Wahib; Aleksandr Drozd; Torsten Hoefler (Int. J. High Perform. Comput. Appl., 2023)

Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. - Huaipeng Zhang; Nhut-Minh Ho; Dogukan Yigit Polat; Peng Chen 035; Mohamed Wahib; Truong Thao Nguyen; Jintao Meng 001; Rick Siow Mong Goh; Satoshi Matsuoka; Tao Luo 014; Weng-Fai Wong (IEEE Trans. Parallel Distributed Syst., 2023)

At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. - Jens Domke; Emil Vatai; Balazs Gerofi; Yuetsu Kodama; Mohamed Wahib; Artur Podobas; Sparsh Mittal; Miquel Pericàs; Lingqi Zhang 001; Peng Chen 035; Aleksandr Drozd; Satoshi Matsuoka (ACM Trans. Archit. Code Optim., 2023)

Welcome Message from the IEEE Cluster 2024 Program Chairs. - Yutong Lu; Wuchun Feng; Mohamed Wahib (CLUSTER, 2024)

Asynchronous I/O Optimization for X-Ray Imaging via GPUDirect Storage. - Du Wu; Peng Chen 035; Yiyu Tan; Yusuke Tanimura; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

Investigating Nvidia GPU Architecture Trends via Microbenchmarks. - Lingqi Zhang 001; Ryan Barton; Peng Chen 035; Xiao Wang 004; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

Communication Optimization for Distributed GCN Training on ABCI Supercomputer. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

Surrogate-Assisted Evolutionary Neural Architecture Search with Isomorphic Training and Prediction. - Pengcheng Jiang; Yu Xue 003; Ferrante Neri; Mohamed Wahib (ICIC (2), 2024)

Real-time High-resolution X-Ray Computed Tomography. - Du Wu; Peng Chen 035; Xiao Wang 004; Isaac Lyngaas; Takaaki Miyajima; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (ICS, 2024)

Progressive Neural Predictor with Score-Based Sampling. - Liwen Jiang; Yu Xue 003; Ferrante Neri; Xiaoping Zhao; Mohamed Wahib (IJCNN, 2024)

Validation Loss Landscape Exploration with Deep Q-Learning. - Enzhi Zhang; Rui Zhong; Masaharu Munetomo; Mohamed Wahib (IJCNN, 2024)

autoGEMM: Pushing the Limits of Irregular Matrix Multiplication on Arm Architectures. - Du Wu; Jintao Meng 001; Wenxi Zhu; Minwen Deng; Xiao Wang 004; Tao Luo 014; Mohamed Wahib; Yanjie Wei (SC, 2024)

Adaptive Patching for High-resolution Image Segmentation with Transformers. - Enzhi Zhang; Isaac Lyngaas; Peng Chen 035; Xiao Wang 004; Jun Igarashi; Yuankai Huo; Masaharu Munetomo; Mohamed Wahib (SC, 2024)

Neural architecture search via similarity adaptive guidance. - Yu Xue 003; Jiajie Zha; Mohamed Wahib; Tinghui Ouyang; Xiao Wang 004 (Appl. Soft Comput., 2024)

Sequence Length Scaling in Vision Transformers for Scientific Images on Frontier. - Aristeidis Tsaris; Chengming Zhang 006; Xiao Wang 004; Junqi Yin; Siyan Liu; Moetasim Ashfaq; Ming Fan; Jong-Youl Choi; Mohamed Wahib; Dan Lu 001; Prasanna Balaprakash; Fei-Yue Wang 001 (CoRR, 2024)

A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism. - Yu Xue 003; Chenchen Zhu; MengChu Zhou; Mohamed Wahib; Moncef Gabbouj (CoRR, 2024)

Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness. - Emil Vatai; Aleksandr Drozd; Ivan R. Ivanov; Yinghao Ren; Mohamed Wahib (CoRR, 2024)

SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Rio Yokota; Nikoli Dryden; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CoRR, 2024)

Learning from the Past Training Trajectories: Regularization by Validation. - Enzhi Zhang; Mohamed Wahib; Rui Zhong; Masaharu Munetomo (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Meta generative image and text data augmentation optimization. - Enzhi Zhang; Bochen Dong; Mohamed Wahib; Rui Zhong; Masaharu Munetomo (J. Supercomput., 2024)

Can Tensor Cores Benefit Memory-Bound Kernels? (NO!). - Lingqi Zhang 001; Jiajun Huang 001; Sheng Di; Satoshi Matsuoka; Mohamed Wahib (GPGPU@PPoPP, 2025)

A General and Scalable GCN Training Framework on CPU Supercomputers. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Rio Yokota; Nikoli Dryden; Lingqi Zhang 001; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (PPoPP, 2025)

A Unifying Framework to Enable Artificial Intelligence in High-Performance Computing Workflows. - Jens Domke; Mohamed Wahib; Anshu Dubey; Tal Ben-Nun; Erik W. Draeger (Comput. Sci. Eng., 2025)

Noisy data-based attack: A new type of untargeted attack in Federated Learning and its countermeasures. - Manh Cuong Dao; Phi Le Nguyen; Hieu H. Pham 001; Thanh Hung Nguyen; Peng Chen 035; Mohamed Wahib; Truong Thao Nguyen (Future Gener. Comput. Syst., 2025)

CG-Kit: Code Generation Toolkit for performant and maintainable variants of source code applied to Flash-X hydrodynamics simulations. - Johann Rudi; Youngjun Lee; Aidan H. Chadha; Mohamed Wahib; Klaus Weide; Jared P. O'Neal; Anshu Dubey (Future Gener. Comput. Syst., 2025)

Predictor-assisted evolutionary neural architecture search for spiking neural networks. - Yuting Wang; Yu Xue 003; Wei Ding; Yiyu Tan; Peng Chen 035; Mohamed Wahib (Neurocomputing, 2025)

YOLO-DKR: Differentiable architecture search based on kernel reusing for object detection. - Yu Xue 003; Chenhang Yao; Mohamed Wahib; Moncef Gabbouj (Inf. Sci., 2025)

Vision transformer-based meta loss landscape exploration with actor-critic method. - Enzhi Zhang; Rui Zhong; Xingbang Du; Mohamed Wahib; Masaharu Munetomo (J. Supercomput., 2025)

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. - Xiao Wang 004; Jong-Youl Choi; Takuya Kurihaya; Isaac Lyngaas; Hong-Jun Yoon; Ming Fan; Nasik Muhammad Nafi; Aristeidis Tsaris; Ashwin M. Aji; Maliha Hossain; Mohamed Wahib; Dali Wang; et al. (CoRR, 2025)

Think Before You Attribute: Improving the Performance of LLMs Attribution Systems. - João Eduardo Batista; Emil Vatai; Mohamed Wahib (CoRR, 2025)

Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure. - Du Wu; Enzhi Zhang; Isaac Lyngaas; Xiao Wang 004; Amir Ziabari; Tao Luo 014; Peng Chen 035; Kento Sato; Fumiyoshi Shoji; Takaki Hatsui; Kentaro Uesugi; Akira Seo; et al. (CoRR, 2025)

Balanced and Elastic End-to-end Training of Dynamic LLMs. - Mohamed Wahib; Muhammed Abdullah Soyturk; Didem Unat (CoRR, 2025)

Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. - Aristeidis Tsaris; Isaac Lyngaas; John Lagregren; Mohamed Wahib; Larry M. York; Prasanna Balaprakash; Dan Lu 001; Yi-Fei Wang; Xiao Wang 004 (CoRR, 2025)

Enabling Visual Scene Recovery From Wi-Fi CSI for Occlusion-Free Surveillance. - Cheng Chen; Shoki Ohta; Takayuki Nishio; Mehdi Bennis; Jihong Park; Mohamed Wahib (IEEE Internet Things J., 2025)

RAPTOR: Practical Numerical Profiling of Scientific Applications. - Felix Hörold; Ivan R. Ivanov; Akash Dhruv; William S. Moses; Anshu Dubey; Mohamed Wahib; Jens Domke (CoRR, 2025)