Algorithm 755: ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/C++. - Andreas Griewank; David W. Juedes; Jean Utke (ACM Trans. Math. Softw., 1996)

Evaluating higher derivative tensors by forward propagation of univariate Taylor series. - Andreas Griewank; Jean Utke; Andrea Walther (Math. Comput., 2000)

Separating language dependent and independent tasks for the semantic transformation of numerical programs. - Jean Utke; Uwe Naumann (IASTED Conf. on Software Engineering and Applications, 2004)

Control Flow Reversal for Adjoint Code Generation. - Uwe Naumann; Jean Utke; Andrew Lyons; Michael W. Fagan (SCAM, 2004)

Source Templates for the Automatic Generation of Adjoint Code Through Static Call Graph Reversal. - Uwe Naumann; Jean Utke (International Conference on Computational Science (1), 2005)

Data Representation Alternatives in Semantically Augmented Numerical Models. - Michael W. Fagan; Laurent Hascoët; Jean Utke (SCAM, 2006)

Term Graphs for Computing Derivatives in Imperative Languages. - Paul D. Hovland; Boyana Norris; Michelle Mills Strout; Jean Utke (TERMGRAPH@ETAPS, 2006)

Efficient reversal of the intraprocedural flow of control in adjoint computations. - Jean Utke; Andrew Lyons; Uwe Naumann (J. Syst. Softw., 2006)

A Framework for Proving Correctness of Adjoint Message-Passing Programs. - Uwe Naumann; Laurent Hascoët; Chris Hill; Paul D. Hovland; Jan Riehme; Jean Utke (PVM/MPI, 2008)

Cheaper adjoints by reversing address computations. - Laurent Hascoët; Jean Utke; Uwe Naumann (Sci. Program., 2008)

OpenAD/F: A Modular Open-Source Tool for Automatic Differentiation of Fortran Codes. - Jean Utke; Uwe Naumann; Michael W. Fagan; Nathan R. Tallent; Michelle Mills Strout; Patrick Heimbach; Chris Hill; Carl Wunsch (ACM Trans. Math. Softw., 2008)

Combinatorial Problems in OpenAD. - Jean Utke; Uwe Naumann (Combinatorial Scientific Computing, 2009)

Toward adjoinable MPI. - Jean Utke; Laurent Hascoët; Patrick Heimbach; Chris Hill; Paul D. Hovland; Uwe Naumann (IPDPS, 2009)

Fast higher-order derivative tensors with Rapsodia. - Isabelle Charpentier; Jean Utke (Optim. Methods Softw., 2009)

Multithreaded derivative computation with generated libraries. - Darius Buntinas; Alexis J. Malozemoff; Jean Utke (J. Comput. Sci., 2010)

Efficient generated libraries for asynchronous derivative computation. - Darius Buntinas; Alexis Malozemoff; Jean Utke (ICCS, 2010)

Interpretative adjoints for numerical simulation codes using MPI. - Michel Schanen; Uwe Naumann; Laurent Hascoët; Jean Utke (ICCS, 2010)

Preface. - Bruce Christianson; Uwe Naumann; Jean Utke; Andrea Walther (Optim. Methods Softw., 2012)

Randomized heuristics for exploiting Jacobian scarcity. - Andrew Lyons; Ilya Safro; Jean Utke (Optim. Methods Softw., 2012)

Sensitivity Analysis for Mixed-Language Numerical Models. - Jean Utke; Bradley T. Rearden; Robert A. Lefebvre (ICCS, 2013)

Checking C++ codes for compatibility with operator overloading. - Alexander Hück; Christian H. Bischof; Jean Utke (SCAM, 2015)

Source Transformation of C++ Codes for Compatibility with Operator Overloading. - Alexander Hück; Jean Utke; Christian H. Bischof (ICCS, 2016)

Programming language features, usage patterns, and the efficiency of generated adjoint code. - Laurent Hascoët; Jean Utke (Optim. Methods Softw., 2016)

Nested multi-instance classification. - Alexander Stec; Diego Klabjan; Jean Utke (CoRR, 2018)

Unified recurrent neural network for many feature types. - Alexander Stec; Diego Klabjan; Jean Utke (CoRR, 2018)

Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. - Jaehoon Koo; Diego Klabjan; Jean Utke (IEEE BigData, 2020)

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. - Jaehoon Koo; Diego Klabjan; Jean Utke (CoRR, 2020)

Classification Models for Partially Ordered Sequences. - Stephanie Ger; Diego Klabjan; Jean Utke (ICANN (1), 2021)

Nested Multi-view Image Classification. - Abdolghani Ebrahimi; Alexander Stec; Diego Klabjan; Jean Utke (ICPR, 2022)

Tricks and Plugins to GBM on Images and Sequences. - Biyi Fang; Jean Utke; Diego Klabjan (CoRR, 2022)

Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. - Stephanie Ger; Yegna Subramanian Jambunath; Diego Klabjan; Jean Utke (IEEE Big Data, 2023)

A Policy for Early Sequence Classification. - Alexander Cao; Jean Utke; Diego Klabjan (ICANN (1), 2023)

Gradient-Boosted Based Structured and Unstructured Learning. - Andrea Treviño Gavito; Diego Klabjan; Jean Utke (ICANN (3), 2023)

Early Classifying Multimodal Sequences. - Alexander Cao; Jean Utke; Diego Klabjan (ICMI, 2023)

S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. - Ye Xue; Diego Klabjan; Jean Utke (CoRR, 2023)

DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations. - Bo-Ru Lu; Nikita Haduong; Chia-Hsuan Lee 001; Zeqiu Wu; Hao Cheng 002; Paul Koester; Jean Utke; Tao Yu 009; Noah A. Smith; Mari Ostendorf (CoRR, 2023)

Unsupervised Video Summarization. - Hanqing Li; Diego Klabjan; Jean Utke (CoRR, 2023)

An inverse classification framework with limited budget and maximum number of perturbed samples. - Jaehoon Koo; Diego Klabjan; Jean Utke (Expert Syst. Appl., 2023)

Unsupervised Video Summarization via Iterative Training and Simplified GAN. - Hanqing Li; Diego Klabjan; Jean Utke (ACCV (8), 2024)

Multimodal Learning on Temporal Data. - Ye Xue; Diego Klabjan; Jean Utke (IEEE Big Data, 2024)

IIFE: Interaction Information Based Automated Feature Engineering. - Tom Overman; Diego Klabjan; Jean Utke (ICDM, 2024)

Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. - Andrea Treviño Gavito; Diego Klabjan; Jean Utke (ICMLA, 2024)

Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient. - Yintai Ma; Diego Klabjan; Jean Utke (CoRR, 2024)

Modular Framework for Uncertainty Prediction in Autonomous Vehicle Motion Forecasting within Complex Traffic Scenarios. - Han Wang 024; Yuneil Yeo; Antonio R. Paiva; Jean Utke; Maria Laura Delle Monache (CoRR, 2025)

Subgrid BoostCNN: Efficient Boosting of Convolutional Networks via Gradient-Guided Feature Selection. - Biyi Fang; Jean Utke; Truong Vo; Diego Klabjan (CoRR, 2025)

BoostTransformer: Enhancing Transformer Models with Subgrid Selection and Importance Sampling. - Biyi Fang; Jean Utke; Truong Vo; Diego Klabjan (CoRR, 2025)