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Marc Brockschmidt
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- affiliation: RWTH Aachen University, Germany
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2020 – today
- 2023
- [c42]Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka:
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. NeurIPS 2023 - [i29]Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka:
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics. CoRR abs/2302.01170 (2023) - 2022
- [j5]Dobrik Georgiev, Marc Brockschmidt, Miltiadis Allamanis:
HEAT: Hyperedge Attention Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c41]Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis:
Learning to Complete Code with Sketches. ICLR 2022 - [c40]Krzysztof Maziarz, Henry Richard Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marwin H. S. Segler, Marc Brockschmidt:
Learning to Extend Molecular Scaffolds with Structural Motifs. ICLR 2022 - [c39]Chencheng Liang, Philipp Rümmer, Marc Brockschmidt:
Exploring Representation of Horn clauses using GNNs. PAAR@IJCAR 2022 - [i28]Dobrik Georgiev, Marc Brockschmidt, Miltiadis Allamanis:
HEAT: Hyperedge Attention Networks. CoRR abs/2201.12113 (2022) - [i27]Chencheng Liang, Philipp Rümmer, Marc Brockschmidt:
Exploring Representation of Horn Clauses using GNNs (Extended Technique Report). CoRR abs/2206.06986 (2022) - 2021
- [c38]Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt:
Copy That! Editing Sequences by Copying Spans. AAAI 2021: 13622-13630 - [c37]Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt:
Self-Supervised Bug Detection and Repair. NeurIPS 2021: 27865-27876 - [c36]Megan Stanley, John Bronskill, Krzysztof Maziarz, Hubert Misztela, Jessica Lanini, Marwin H. S. Segler, Nadine Schneider, Marc Brockschmidt:
FS-Mol: A Few-Shot Learning Dataset of Molecules. NeurIPS Datasets and Benchmarks 2021 - [i26]Krzysztof Maziarz, Henry Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marc Brockschmidt:
Learning to Extend Molecular Scaffolds with Structural Motifs. CoRR abs/2103.03864 (2021) - [i25]Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt:
Self-Supervised Bug Detection and Repair. CoRR abs/2105.12787 (2021) - [i24]Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis:
Learning to Generate Code Sketches. CoRR abs/2106.10158 (2021) - 2020
- [j4]Florian Frohn
, Matthias Naaf, Marc Brockschmidt, Jürgen Giesl
Inferring Lower Runtime Bounds for Integer Programs. ACM Trans. Program. Lang. Syst. 42(3): 13:1-13:50 (2020) - [c35]Santiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Olga Ohrimenko
Analyzing Information Leakage of Updates to Natural Language Models. CCS 2020: 363-375 - [c34]Marc Brockschmidt:
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation. ICML 2020: 1144-1152 - [i23]Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt:
Copy that! Editing Sequences by Copying Spans. CoRR abs/2006.04771 (2020)
2010 – 2019
- 2019
- [c33]Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov:
Generative Code Modeling with Graphs. ICLR (Poster) 2019 - [c32]Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt:
Structured Neural Summarization. ICLR (Poster) 2019 - [c31]Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt:
Learning to Represent Edits. ICLR (Poster) 2019 - [c30]Matthew Danish
Learning units-of-measure from scientific code. SE4Science@ICSE 2019: 43-46 - [c29]Eui Chul Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Alex Polozov:
Program Synthesis and Semantic Parsing with Learned Code Idioms. NeurIPS 2019: 10824-10834 - [i22]Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov:
Program Synthesis and Semantic Parsing with Learned Code Idioms. CoRR abs/1906.10816 (2019) - [i21]Marc Brockschmidt:
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation. CoRR abs/1906.12192 (2019) - [i20]Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, Marc Brockschmidt:
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search. CoRR abs/1909.09436 (2019) - [i19]Niklas Stoehr, Marc Brockschmidt, Jan Stuehmer, Emine Yilmaz:
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs. CoRR abs/1910.05639 (2019) - [i18]Florian Frohn, Matthias Naaf, Marc Brockschmidt, Jürgen Giesl:
Inferring Lower Runtime Bounds for Integer Programs. CoRR abs/1911.01077 (2019) - [i17]Shruti Tople, Marc Brockschmidt, Boris Köpf, Olga Ohrimenko, Santiago Zanella Béguelin
Analyzing Privacy Loss in Updates of Natural Language Models. CoRR abs/1912.07942 (2019) - 2018
- [c28]Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi:
Learning to Represent Programs with Graphs. ICLR 2018 - [c27]Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard S. Zemel:
Graph Partition Neural Networks for Semi-Supervised Classification. ICLR (Workshop) 2018 - [c26]Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt:
Constrained Graph Variational Autoencoders for Molecule Design. NeurIPS 2018: 7806-7815 - [c25]Marc Brockschmidt:
Learning from code with graphs (keynote). NL4SE@ESEC/SIGSOFT FSE 2018: 1 - [i16]Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard S. Zemel:
Graph Partition Neural Networks for Semi-Supervised Classification. CoRR abs/1803.06272 (2018) - [i15]Marc Brockschmidt, Miltiadis Allamanis, Alexander L. Gaunt, Oleksandr Polozov:
Generative Code Modeling with Graphs. CoRR abs/1805.08490 (2018) - [i14]Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt:
Constrained Graph Variational Autoencoders for Molecule Design. CoRR abs/1805.09076 (2018) - [i13]Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh:
Execution-Guided Neural Program Decoding. CoRR abs/1807.03100 (2018) - [i12]Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt:
Learning to Represent Edits. CoRR abs/1810.13337 (2018) - [i11]Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt:
Structured Neural Summarization. CoRR abs/1811.01824 (2018) - 2017
- [j3]Jürgen Giesl
Analyzing Program Termination and Complexity Automatically with AProVE. J. Autom. Reason. 58(1): 3-31 (2017) - [j2]Thomas Ströder, Jürgen Giesl
Automatically Proving Termination and Memory Safety for Programs with Pointer Arithmetic. J. Autom. Reason. 58(1): 33-65 (2017) - [c24]Marc Brockschmidt, Sebastiaan J. C. Joosten, René Thiemann
Certifying Safety and Termination Proofs for Integer Transition Systems. CADE 2017: 454-471 - [c23]Matthias Naaf, Florian Frohn
Complexity Analysis for Term Rewriting by Integer Transition Systems. FroCoS 2017: 132-150 - [c22]Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow:
DeepCoder: Learning to Write Programs. ICLR (Poster) 2017 - [c21]John K. Feser, Marc Brockschmidt, Alexander L. Gaunt, Daniel Tarlow:
Neural Functional Programming. ICLR (Workshop) 2017 - [c20]Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow:
Lifelong Perceptual Programming By Example. ICLR (Workshop) 2017 - [c19]Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman:
Neural Program Lattices. ICLR (Poster) 2017 - [c18]Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow:
Differentiable Programs with Neural Libraries. ICML 2017: 1213-1222 - [c17]Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow:
Learning Shape Analysis. SAS 2017: 66-87 - [c16]Cristina Borralleras
Proving Termination Through Conditional Termination. TACAS (1) 2017: 99-117 - [i10]Miltiadis Allamanis, Marc Brockschmidt:
SmartPaste: Learning to Adapt Source Code. CoRR abs/1705.07867 (2017) - [i9]Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi:
Learning to Represent Programs with Graphs. CoRR abs/1711.00740 (2017) - 2016
- [j1]Marc Brockschmidt, Fabian Emmes, Stephan Falke, Carsten Fuhs, Jürgen Giesl:
Analyzing Runtime and Size Complexity of Integer Programs. ACM Trans. Program. Lang. Syst. 38(4): 13:1-13:50 (2016) - [c15]Florian Frohn
Lower Runtime Bounds for Integer Programs. IJCAR 2016: 550-567 - [c14]Marc Brockschmidt, Byron Cook, Samin Ishtiaq, Heidy Khlaaf, Nir Piterman
T2: Temporal Property Verification. TACAS 2016: 387-393 - [c13]Yujia Li, Daniel Tarlow, Marc Brockschmidt, Richard S. Zemel:
Gated Graph Sequence Neural Networks. ICLR (Poster) 2016 - [i8]Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow:
TerpreT: A Probabilistic Programming Language for Program Induction. CoRR abs/1608.04428 (2016) - [i7]John K. Feser, Marc Brockschmidt, Alexander L. Gaunt, Daniel Tarlow:
Neural Functional Programming. CoRR abs/1611.01988 (2016) - [i6]Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow:
DeepCoder: Learning to Write Programs. CoRR abs/1611.01989 (2016) - [i5]Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow:
Lifelong Perceptual Programming By Example. CoRR abs/1611.02109 (2016) - [i4]Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow:
Summary - TerpreT: A Probabilistic Programming Language for Program Induction. CoRR abs/1612.00817 (2016) - 2015
- [c12]Marc Brockschmidt, Daniel Larraz
Compositional Safety Verification with Max-SMT. FMCAD 2015: 33-40 - [i3]Marc Brockschmidt, Daniel Larraz, Albert Oliveras, Enric Rodríguez-Carbonell, Albert Rubio:
Compositional Safety Verification with Max-SMT. CoRR abs/1507.03851 (2015) - [i2]Marc Brockschmidt, Byron Cook, Samin Ishtiaq, Heidy Khlaaf, Nir Piterman:
T2: Temporal Property Verification. CoRR abs/1512.08689 (2015) - 2014
- [b1]Marc Manuel Johannes Brockschmidt:
Termination analysis for imperative programs operating on the heap. RWTH Aachen University, 2014 - [c11]Jürgen Giesl
Proving Termination of Programs Automatically with AProVE. IJCAR 2014: 184-191 - [c10]Thomas Ströder, Jürgen Giesl
Proving Termination and Memory Safety for Programs with Pointer Arithmetic. IJCAR 2014: 208-223 - [c9]Tewodros A. Beyene, Marc Brockschmidt, Andrey Rybalchenko:
CTL+FO verification as constraint solving. SPIN 2014: 101-104 - [c8]Marc Brockschmidt, Fabian Emmes, Stephan Falke, Carsten Fuhs, Jürgen Giesl
Alternating Runtime and Size Complexity Analysis of Integer Programs. TACAS 2014: 140-155 - [i1]Tewodros A. Beyene, Marc Brockschmidt, Andrey Rybalchenko:
CTL+FO Verification as Constraint Solving. CoRR abs/1406.3988 (2014) - 2013
- [c7]Marc Brockschmidt, Byron Cook, Carsten Fuhs:
Better Termination Proving through Cooperation. CAV 2013: 413-429 - 2012
- [c6]Marc Brockschmidt, Richard Musiol, Carsten Otto, Jürgen Giesl
Automated Termination Proofs for Java Programs with Cyclic Data. CAV 2012: 105-122 - 2011
- [c5]Thorsten Bormer, Marc Brockschmidt, Dino Distefano, Gidon Ernst
The COST IC0701 Verification Competition 2011. FoVeOOS 2011: 3-21 - [c4]Marc Brockschmidt, Thomas Ströder, Carsten Otto, Jürgen Giesl
Automated Detection of Non-termination and NullPointerExceptions for Java Bytecode. FoVeOOS 2011: 123-141 - [c3]Marc Brockschmidt, Carsten Otto, Jürgen Giesl
Modular Termination Proofs of Recursive Java Bytecode Programs by Term Rewriting. RTA 2011: 155-170 - 2010
- [c2]Marc Brockschmidt, Carsten Otto, Christian von Essen, Jürgen Giesl:
Termination Graphs for Java Bytecode. Verification, Induction, Termination Analysis 2010: 17-37 - [c1]Carsten Otto, Marc Brockschmidt, Christian von Essen, Jürgen Giesl
Automated Termination Analysis of Java Bytecode by Term Rewriting. RTA 2010: 259-276
Coauthor Index
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