J. Utke

发表

Eecient Newton Steps without Jacobians

J. Utke, .

Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C/C++

Andreas Griewank, Jean Utke, David W. Juedes, 1996, TOMS.

ADJOINT CODE BY SOURCE TRANSFORMATION WITH OPENAD/F

Nathan R. Tallent, J. Utke, C. Wunsch, 2006 .

Automatic Computation of Sparse Jacobians by Applying the Method of Newsam and Ramsdell

A. Griewank, J. Utke, U. Geitner, 1995 .

Evaluating higher derivative tensors by forward propagation of univariate Taylor series

Andreas Griewank, Andrea Walther, Jean Utke, 2000, Math. Comput..

Advances in Automatic Differentiation

Jean Utke, Uwe Naumann, H. Martin Bücker, 2008 .

OpenAD/F: A Modular Open-Source Tool for Automatic Differentiation of Fortran Codes

Jean Utke, Uwe Naumann, Carl Wunsch, 2008, TOMS.

Control flow reversal for adjoint code generation

Jean Utke, Uwe Naumann, Andrew Lyons, 2004 .

ADOL-C : 1 A Package for the Automatic Di erentiationof Algorithms

J. Utke, D. Juedes, 1993 .

An Approach to Computing Discrete Adjoints for MPI-Parallelized Models Applied to the Ice Sheet System Model

J. Utke, M. Morlighem, E. Larour, 2016 .

An optimized treatment for algorithmic differentiation of an important glaciological fixed-point problem

J. Utke, Laurent Hascoët, D. Goldberg, 2016 .

Inferred basal friction and surface mass balance of North-East Greenland Ice Stream using data assimilation of ICESat-1 surface altimetry and ISSM

J. Utke, B. Csathó, M. Morlighem, 2014 .

Inferred basal friction and surface mass balance of the Northeast Greenland Ice Stream using data assimilation of ICESat (Ice Cloud and land Elevation Satellite) surface altimetry and ISSM (Ice Sheet System Model)

J. Utke, B. Csathó, M. Morlighem, 2014 .

A Tracing Facility for Nonsmooth Model Behavior

J. Utke, 2014 .

Northeast Greenland Ice Stream using data assimilation of ICESat ( Ice Cloud and land Elevation Satellite ) surface altimetry and ISSM ( Ice Sheet System Model ) Permalink

J. Utke, B. Csathó, M. Morlighem, 2014 .

ADISM v.1.0: an adjoint of a thermomechanical ice-sheet model obtained using an algorithmic differentiation tool

T. Murray, J. Utke, I. Rutt, 2013 .

Applying Automatic Differentiation to the Community Land Model

M. Anitescu, P. Hovland, J. Utke, 2012 .

Timescales and regions of the sensitivity of Atlantic meridional volume and heat transport: Toward observing system design

J. Utke, C. Wunsch, P. Heimbach, 2011 .

Efficient Higher-Order Derivatives of the Hypergeometric Function

J. Utke, I. Charpentier, C. Cappello, 2008 .

On the Practical Exploitation of Scarsity

J. Utke, Andrew Lyons, 2008 .

OPTIMALITY-PRESERVING ELIMINATION OF LINEARITIES IN JACOBIAN ACCUMULATION

J. Utke, U. Naumann, 2005 .

Tricks and Plugins to GBM on Images and Sequences

J. Utke, D. Klabjan, Biyi Fang, 2022, ArXiv.

Fast higher-order derivative tensors with Rapsodia

Jean Utke, Isabelle Charpentier, J. Utke, 2009, Optim. Methods Softw..

An Integer Programming Approach to Optimal Derivative Accumulation

Jean Utke, Jieqiu Chen, Paul D. Hovland, 2012 .

Cheaper adjoints by reversing address computations

Jean Utke, Uwe Naumann, Laurent Hascoët, 2008, Sci. Program..

OpenAD/F: User Manual

Jean Utke, Uwe Naumann, J. Utke, 2006 .

Combining Automatic Differentiation Methods for High-Dimensional Nonlinear Models

Jean Utke, Hany S. Abdel-Khalik, James A. Reed, 2012 .

Combinatorial Problems in OpenAD

Jean Utke, Uwe Naumann, J. Utke, 2009, Combinatorial Scientific Computing.

Efficient reversal of the intraprocedural flow of control in adjoint computations

Jean Utke, Uwe Naumann, Andrew Lyons, 2006, J. Syst. Softw..

Flattening Basic Blocks

Jean Utke, J. Utke, 2006 .

Source Templates for the Automatic Generation of Adjoint Code Through Static Call Graph Reversal

Jean Utke, Uwe Naumann, J. Utke, 2005, International Conference on Computational Science.

Control flow reversal for adjoint code generation

Jean Utke, Uwe Naumann, Andrew Lyons, 2004, Source Code Analysis and Manipulation, Fourth IEEE International Workshop on.

Separating language dependent and independent tasks for the semantic transformation of numerical programs

Jean Utke, Uwe Naumann, J. Utke, 2004, IASTED Conf. on Software Engineering and Applications.

An approach to computing discrete adjoints for MPI-parallelized models applied to Ice Sheet System Model 4.11

Jean Utke, Eric Larour, Anton Bovin, 2016 .

Source Transformation of C++ Codes for Compatibility with Operator Overloading

Christian H. Bischof, Jean Utke, Alexander Hück, 2016, ICCS.

Sensitivity Analysis for Mixed-Language Numerical Models

Jean Utke, Bradley T. Rearden, Robert A. Lefebvre, 2013, ICCS.

A Low Rank Approach to Automatic Differentiation

Jean Utke, Paul D. Hovland, Hany S. Abdel-Khalik, 2008 .

Recent Advances in Algorithmic Differentiation

Andrea Walther, Jean Utke, Paul D. Hovland, 2012 .

S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture

J. Utke, D. Klabjan, Ye Xue, 2023, ArXiv.

Unified recurrent neural network for many feature types pdf

Diego Klabjan, Jean Utke, Alexander Stec, 2018, ArXiv.

DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations

Noah A. Smith, Mari Ostendorf, J. Utke, 2023, ArXiv.

Programming language features, usage patterns, and the efficiency of generated adjoint code

Jean Utke, Laurent Hascoët, J. Utke, 2016, Optim. Methods Softw..

Automatic differentiation of codes in nuclear engineering applications.

Jean Utke, Paul D. Hovland, Oleg Roderick, 2009 .

Early Classifying Multimodal Sequences

J. Utke, D. Klabjan, Alexander Cao, 2023, arXiv.org.

Classification Models for Partially Ordered Sequences

Diego Klabjan, Jean Utke, Stephanie Ger, 2021, ICANN.

A Policy for Early Sequence Classification

J. Utke, D. Klabjan, Alexander Cao, 2023, ArXiv.

Nested multi-instance classification

J. Utke, D. Klabjan, Alexander Stec, 2018, 1808.10430.

Multi-Layer Attention-Based Explainability via Transformers for Tabular Data

J. Utke, D. Klabjan, Andrea Trevino Gavito, 2023, ArXiv.

Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images pdf

Diego Klabjan, Jean Utke, Jaehoon Koo, 2018, 2020 IEEE International Conference on Big Data (Big Data).

An inverse classification framework with limited budget and maximum number of perturbed samples

J. Utke, D. Klabjan, Jaehoon Koo, 2022, Expert Syst. Appl..

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples pdf

Diego Klabjan, Jean Utke, Jaehoon Koo, 2020, ArXiv.

Gradient-Boosted Based Structured and Unstructured Learning

J. Utke, D. Klabjan, Andrea Trevino Gavito, 2023, ArXiv.

Checking C++ codes for compatibility with operator overloading

Christian H. Bischof, Jean Utke, Alexander Huck, 2015, 2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation (SCAM).

Interpretative adjoints for numerical simulation codes using MPI

Jean Utke, Uwe Naumann, Laurent Hascoët, 2010, ICCS.

Toward adjoinable MPI

Jean Utke, Uwe Naumann, Patrick Heimbach, 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

Does Collaborative Human-LM Dialogue Generation Help Information Extraction from Human Dialogues?

Noah A. Smith, Mari Ostendorf, J. Utke, 2023, 2307.07047.

Multithreaded derivative computation with generated libraries

Jean Utke, Darius Buntinas, Alexis J. Malozemoff, 2010, J. Comput. Sci..

Storing Versus Recomputation on Multiple DAGs

Jean Utke, Heather Cole-Mullen, Andrew Lyons, 2012 .

Combinatorial Algorithms Enabling Petascale Computational Science.

Jean Utke, Paul D. Hovland, Boyana Norris, 2007 .