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2020 – today
- 2024
[i16]Tom Overman, Diego Klabjan, Jean Utke:
IIFE: Interaction Information Based Automated Feature Engineering. CoRR abs/2409.04665 (2024)- [i15]Yintai Ma, Diego Klabjan, Jean Utke:
Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient. CoRR abs/2410.20657 (2024) - 2023
- [j11]Jaehoon Koo
, Diego Klabjan, Jean Utke:
An inverse classification framework with limited budget and maximum number of perturbed samples. Expert Syst. Appl. 212: 118761 (2023) - [c19]Stephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan, Jean Utke:
Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event Types. IEEE Big Data 2023: 1109-1116 - [c18]Alexander Cao, Jean Utke, Diego Klabjan:
A Policy for Early Sequence Classification. ICANN (1) 2023: 50-61 - [c17]Andrea Treviño Gavito, Diego Klabjan, Jean Utke:
Gradient-Boosted Based Structured and Unstructured Learning. ICANN (3) 2023: 439-451 - [c16]Alexander Cao, Jean Utke, Diego Klabjan:
Early Classifying Multimodal Sequences. ICMI 2023: 183-189 - [i14]Andrea Treviño Gavito, Diego Klabjan, Jean Utke:
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data. CoRR abs/2302.14278 (2023) - [i13]Andrea Treviño Gavito, Diego Klabjan, Jean Utke:
Gradient-Boosted Based Structured and Unstructured Learning. CoRR abs/2302.14299 (2023) - [i12]Alexander Cao, Jean Utke, Diego Klabjan:
A Policy for Early Sequence Classification. CoRR abs/2304.03463 (2023) - [i11]Alexander Cao, Jean Utke, Diego Klabjan:
Early Classifying Multimodal Sequences. CoRR abs/2305.01151 (2023) - [i10]Ye Xue, Diego Klabjan, Jean Utke:
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. CoRR abs/2307.00226 (2023) - [i9]Bo-Ru Lu, Nikita Haduong, Chia-Hsuan Lee, Zeqiu Wu, Hao Cheng, Paul Koester, Jean Utke, Tao Yu, Noah A. Smith, Mari Ostendorf:
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations. CoRR abs/2307.07047 (2023) - [i8]Hanqing Li, Diego Klabjan, Jean Utke:
Unsupervised Video Summarization. CoRR abs/2311.03745 (2023) - 2022
- [c15]Abdolghani Ebrahimi, Alexander Stec, Diego Klabjan, Jean Utke:
Nested Multi-view Image Classification. ICPR 2022: 5125-5131 - [i7]Biyi Fang, Jean Utke, Diego Klabjan:
Tricks and Plugins to GBM on Images and Sequences. CoRR abs/2203.00761 (2022) - 2021
- [c14]Stephanie Ger, Diego Klabjan, Jean Utke:
Classification Models for Partially Ordered Sequences. ICANN (1) 2021: 294-305 - [i6]Stephanie Ger, Diego Klabjan, Jean Utke:
Classification Models for Partially Ordered Sequences. CoRR abs/2102.00380 (2021) - 2020
- [c13]Jaehoon Koo, Diego Klabjan, Jean Utke:
Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. IEEE BigData 2020: 1354-1361 - [i5]Jaehoon Koo, Diego Klabjan, Jean Utke:
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. CoRR abs/2009.14111 (2020)
2010 – 2019
- 2018
- [i4]Alexander Stec, Diego Klabjan, Jean Utke:
Nested multi-instance classification. CoRR abs/1808.10430 (2018) - [i3]Alexander Stec, Diego Klabjan, Jean Utke:
Unified recurrent neural network for many feature types. CoRR abs/1809.08717 (2018) - [i2]Jaehoon Koo, Diego Klabjan, Jean Utke:
Combined convolutional and recurrent neural networks for hierarchical classification of images. CoRR abs/1809.09574 (2018) - 2016
- [j10]Laurent Hascoët, Jean Utke:
Programming language features, usage patterns, and the efficiency of generated adjoint code. Optim. Methods Softw. 31(5): 885-903 (2016) - [c12]Alexander Hück, Jean Utke, Christian H. Bischof:
Source Transformation of C++ Codes for Compatibility with Operator Overloading. ICCS 2016: 1485-1496 - 2015
- [c11]Alexander Hück, Christian H. Bischof, Jean Utke:
Checking C++ codes for compatibility with operator overloading. SCAM 2015: 91-100 - 2013
- [c10]Jean Utke, Bradley T. Rearden, Robert A. Lefebvre:
Sensitivity Analysis for Mixed-Language Numerical Models. ICCS 2013: 1794-1803 - 2012
- [j9]Bruce Christianson, Uwe Naumann, Jean Utke, Andrea Walther:
Preface. Optim. Methods Softw. 27(2): 175 (2012) - [j8]Andrew Lyons, Ilya Safro, Jean Utke:
Randomized heuristics for exploiting Jacobian scarcity. Optim. Methods Softw. 27(2): 311-322 (2012) - 2010
- [j7]Darius Buntinas, Alexis J. Malozemoff, Jean Utke:
Multithreaded derivative computation with generated libraries. J. Comput. Sci. 1(2): 89-97 (2010) - [c9]Darius Buntinas, Alexis Malozemoff, Jean Utke:
Efficient generated libraries for asynchronous derivative computation. ICCS 2010: 1785-1793 - [c8]Michel Schanen, Uwe Naumann, Laurent Hascoët, Jean Utke:
Interpretative adjoints for numerical simulation codes using MPI. ICCS 2010: 1825-1833
2000 – 2009
- 2009
- [j6]Isabelle Charpentier, Jean Utke:
Fast higher-order derivative tensors with Rapsodia. Optim. Methods Softw. 24(1): 1-14 (2009) - [c7]Jean Utke, Laurent Hascoët, Patrick Heimbach, Chris Hill, Paul D. Hovland, Uwe Naumann:
Toward adjoinable MPI. IPDPS 2009: 1-8 - [i1]Jean Utke, Uwe Naumann:
Combinatorial Problems in OpenAD. Combinatorial Scientific Computing 2009 - 2008
- [j5]Laurent Hascoët, Jean Utke, Uwe Naumann:
Cheaper adjoints by reversing address computations. Sci. Program. 16(1): 81-92 (2008) - [j4]Jean Utke, Uwe Naumann, Michael W. Fagan, Nathan R. Tallent, Michelle Mills Strout, Patrick Heimbach, Chris Hill, Carl Wunsch:
OpenAD/F: A Modular Open-Source Tool for Automatic Differentiation of Fortran Codes. ACM Trans. Math. Softw. 34(4): 18:1-18:36 (2008) - [c6]Uwe Naumann, Laurent Hascoët, Chris Hill, Paul D. Hovland, Jan Riehme, Jean Utke:
A Framework for Proving Correctness of Adjoint Message-Passing Programs. PVM/MPI 2008: 316-321 - 2006
- [j3]Jean Utke, Andrew Lyons, Uwe Naumann:
Efficient reversal of the intraprocedural flow of control in adjoint computations. J. Syst. Softw. 79(9): 1280-1294 (2006) - [c5]Michael W. Fagan, Laurent Hascoët, Jean Utke:
Data Representation Alternatives in Semantically Augmented Numerical Models. SCAM 2006: 85-94 - [c4]Paul D. Hovland, Boyana Norris, Michelle Mills Strout, Jean Utke:
Term Graphs for Computing Derivatives in Imperative Languages. TERMGRAPH@ETAPS 2006: 99-111 - 2005
- [c3]Uwe Naumann, Jean Utke:
Source Templates for the Automatic Generation of Adjoint Code Through Static Call Graph Reversal. International Conference on Computational Science (1) 2005: 338-346 - 2004
- [c2]Jean Utke, Uwe Naumann:
Separating language dependent and independent tasks for the semantic transformation of numerical programs. IASTED Conf. on Software Engineering and Applications 2004: 552-558 - [c1]Uwe Naumann, Jean Utke, Andrew Lyons, Michael W. Fagan:
Control Flow Reversal for Adjoint Code Generation. SCAM 2004: 55-64 - 2000
- [j2]Andreas Griewank, Jean Utke, Andrea Walther:
Evaluating higher derivative tensors by forward propagation of univariate Taylor series. Math. Comput. 69(231): 1117-1130 (2000)
1990 – 1999
- 1996
- [j1]Andreas Griewank, David W. Juedes, Jean Utke:
Algorithm 755: ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/C++. ACM Trans. Math. Softw. 22(2): 131-167 (1996)
Coauthor Index
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