Jean Utke - RankMe

56 papers A* 1A 1B 5C 4Misc 5Journal 30Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	PromptFE: Automated Feature Engineering by Prompting. EACL (Volume 1: Long Papers) Yufeng Zou, Jean Utke, Diego Klabjan, Han Liu
2026	J	`jnl`	Video to Video Generative Adversarial Network for Few-Shot Learning Based on Policy Gradient. IEEE Trans. Neural Networks Learn. Syst. Yintai Ma, Diego Klabjan, Jean Utke
2025	J	`jnl`	BoostTransformer: Enhancing Transformer Models with Subgrid Selection and Importance Sampling. CoRR Biyi Fang, Jean Utke, Truong Vo, Diego Klabjan
2025	J	`jnl`	Modular Framework for Uncertainty Prediction in Autonomous Vehicle Motion Forecasting within Complex Traffic Scenarios. CoRR Han Wang, Yuneil Yeo, Antonio R. Paiva, Jean Utke, Maria Laura Delle Monache
2025	J	`jnl`	Subgrid BoostCNN: Efficient Boosting of Convolutional Networks via Gradient-Guided Feature Selection. CoRR Biyi Fang, Jean Utke, Truong Vo, Diego Klabjan
2025	B	`conf`	Tricks and Plug-Ins for Gradient Boosting in Image Classification. IEEE Big Data Biyi Fang, Truong Vo, Jean Utke, Diego Klabjan
2024	A*	`conf`	IIFE: Interaction Information Based Automated Feature Engineering. ICDM Tom Overman, Diego Klabjan, Jean Utke
2024	J	`jnl`	IIFE: Interaction Information Based Automated Feature Engineering. CoRR Tom Overman, Diego Klabjan, Jean Utke
2024	C	`conf`	Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. ICMLA Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2024	B	`conf`	Multimodal Learning on Temporal Data. IEEE Big Data Ye Xue, Diego Klabjan, Jean Utke
2024	—	`conf`	Unsupervised Video Summarization via Iterative Training and Simplified GAN. ACCV (8) Hanqing Li, Diego Klabjan, Jean Utke
2024	J	`jnl`	Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient. CoRR Yintai Ma, Diego Klabjan, Jean Utke
2023	—	`conf`	A Policy for Early Sequence Classification. ICANN (1) Alexander Cao, Jean Utke, Diego Klabjan
2023	J	`jnl`	A Policy for Early Sequence Classification. CoRR Alexander Cao, Jean Utke, Diego Klabjan
2023	J	`jnl`	An inverse classification framework with limited budget and maximum number of perturbed samples. Expert Syst. Appl. Jaehoon Koo, Diego Klabjan, Jean Utke
2023	B	`conf`	Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. IEEE Big Data Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan, Jean Utke
2023	J	`jnl`	DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations. CoRR Bo-Ru Lu, Nikita Haduong, Chia-Hsuan Lee, Zeqiu Wu, Hao Cheng, Paul Koester, Jean Utke, Tao Yu, Noah A. Smith, Mari Ostendorf
2023	B	`conf`	Early Classifying Multimodal Sequences. ICMI Alexander Cao, Jean Utke, Diego Klabjan
2023	J	`jnl`	Early Classifying Multimodal Sequences. CoRR Alexander Cao, Jean Utke, Diego Klabjan
2023	—	`conf`	Gradient-Boosted Based Structured and Unstructured Learning. ICANN (3) Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2023	J	`jnl`	Gradient-Boosted Based Structured and Unstructured Learning. CoRR Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2023	J	`jnl`	Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. CoRR Andrea Treviño Gavito, Diego Klabjan, Jean Utke
2023	J	`jnl`	S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. CoRR Ye Xue, Diego Klabjan, Jean Utke
2023	J	`jnl`	Unsupervised Video Summarization. CoRR Hanqing Li, Diego Klabjan, Jean Utke
2022	B	`conf`	Nested Multi-view Image Classification. ICPR Abdolghani Ebrahimi, Alexander Stec, Diego Klabjan, Jean Utke
2022	J	`jnl`	Tricks and Plugins to GBM on Images and Sequences. CoRR Biyi Fang, Jean Utke, Diego Klabjan
2021	—	`conf`	Classification Models for Partially Ordered Sequences. ICANN (1) Stephanie Ger, Diego Klabjan, Jean Utke
2021	J	`jnl`	Classification Models for Partially Ordered Sequences. CoRR Stephanie Ger, Diego Klabjan, Jean Utke
2020	—	`conf`	Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. IEEE BigData Jaehoon Koo, Diego Klabjan, Jean Utke
2020	J	`jnl`	Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. CoRR Jaehoon Koo, Diego Klabjan, Jean Utke
2018	J	`jnl`	Combined convolutional and recurrent neural networks for hierarchical classification of images. CoRR Jaehoon Koo, Diego Klabjan, Jean Utke
2018	J	`jnl`	Nested multi-instance classification. CoRR Alexander Stec, Diego Klabjan, Jean Utke
2018	J	`jnl`	Unified recurrent neural network for many feature types. CoRR Alexander Stec, Diego Klabjan, Jean Utke
2016	J	`jnl`	Programming language features, usage patterns, and the efficiency of generated adjoint code. Optim. Methods Softw. Laurent Hascoët, Jean Utke
2016	Misc	`conf`	Source Transformation of C++ Codes for Compatibility with Operator Overloading. ICCS Alexander Hück, Jean Utke, Christian H. Bischof
2015	C	`conf`	Checking C++ codes for compatibility with operator overloading. SCAM Alexander Hück, Christian H. Bischof, Jean Utke
2013	Misc	`conf`	Sensitivity Analysis for Mixed-Language Numerical Models. ICCS Jean Utke, Bradley T. Rearden, Robert A. Lefebvre
2012	J	`jnl`	Preface. Optim. Methods Softw. Bruce Christianson, Uwe Naumann, Jean Utke, Andrea Walther
2012	J	`jnl`	Randomized heuristics for exploiting Jacobian scarcity. Optim. Methods Softw. Andrew Lyons, Ilya Safro, Jean Utke
2010	Misc	`conf`	Efficient generated libraries for asynchronous derivative computation. ICCS Darius Buntinas, Alexis Malozemoff, Jean Utke
2010	Misc	`conf`	Interpretative adjoints for numerical simulation codes using MPI. ICCS Michel Schanen, Uwe Naumann, Laurent Hascoët, Jean Utke
2010	J	`jnl`	Multithreaded derivative computation with generated libraries. J. Comput. Sci. Darius Buntinas, Alexis J. Malozemoff, Jean Utke
2009	—	`conf`	Combinatorial Problems in OpenAD. Combinatorial Scientific Computing Jean Utke, Uwe Naumann
2009	J	`jnl`	Fast higher-order derivative tensors with Rapsodia. Optim. Methods Softw. Isabelle Charpentier, Jean Utke
2009	A	`conf`	Toward adjoinable MPI. IPDPS Jean Utke, Laurent Hascoët, Patrick Heimbach, Chris Hill, Paul D. Hovland, Uwe Naumann
2008	—	`conf`	A Framework for Proving Correctness of Adjoint Message-Passing Programs. PVM/MPI Uwe Naumann, Laurent Hascoët, Chris Hill, Paul D. Hovland, Jan Riehme, Jean Utke
2008	J	`jnl`	Cheaper adjoints by reversing address computations. Sci. Program. Laurent Hascoët, Jean Utke, Uwe Naumann
2008	J	`jnl`	OpenAD/F: A Modular Open-Source Tool for Automatic Differentiation of Fortran Codes. ACM Trans. Math. Softw. Jean Utke, Uwe Naumann, Michael W. Fagan, Nathan R. Tallent, Michelle Mills Strout, Patrick Heimbach, Chris Hill, Carl Wunsch
2006	C	`conf`	Data Representation Alternatives in Semantically Augmented Numerical Models. SCAM Michael W. Fagan, Laurent Hascoët, Jean Utke
2006	J	`jnl`	Efficient reversal of the intraprocedural flow of control in adjoint computations. J. Syst. Softw. Jean Utke, Andrew Lyons, Uwe Naumann
2006	—	`conf`	Term Graphs for Computing Derivatives in Imperative Languages. TERMGRAPH@ETAPS Paul D. Hovland, Boyana Norris, Michelle Mills Strout, Jean Utke
2005	Misc	`conf`	Source Templates for the Automatic Generation of Adjoint Code Through Static Call Graph Reversal. International Conference on Computational Science (1) Uwe Naumann, Jean Utke
2004	C	`conf`	Control Flow Reversal for Adjoint Code Generation. SCAM Uwe Naumann, Jean Utke, Andrew Lyons, Michael W. Fagan
2004	—	`conf`	Separating language dependent and independent tasks for the semantic transformation of numerical programs. IASTED Conf. on Software Engineering and Applications Jean Utke, Uwe Naumann
2000	J	`jnl`	Evaluating higher derivative tensors by forward propagation of univariate Taylor series. Math. Comput. Andreas Griewank, Jean Utke, Andrea Walther
1996	J	`jnl`	Algorithm 755: ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/C++. ACM Trans. Math. Softw. Andreas Griewank, David W. Juedes, Jean Utke