Mathias Niepert

Orcid: 0000-0002-8401-3751

Affiliations:
  • University of Stuttgart, Germany
  • NEC Laboratories Europe, Heidelberg, Germany


According to our database1, Mathias Niepert authored at least 122 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
L2XGNN: learning to explain graph neural networks.
Mach. Learn., September, 2024

MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning.
CoRR, 2024

LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model.
CoRR, 2024

Discrete Copula Diffusion.
CoRR, 2024

A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions.
CoRR, 2024

Physics-Informed Weakly Supervised Learning for Interatomic Potentials.
CoRR, 2024

Active Learning for Neural PDE Solvers.
CoRR, 2024

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model.
CoRR, 2024

Probabilistic Graph Rewiring via Virtual Nodes.
CoRR, 2024

Accelerating Transformers with Spectrum-Preserving Token Merging.
CoRR, 2024

Learning to Discretize Denoising Diffusion ODEs.
CoRR, 2024

Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing.
CoRR, 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Probabilistically Rewired Message-Passing Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Inpainting via Tractable Steering of Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Approximate Answering of Graph Queries.
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching.
CoRR, 2023

On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation.
CoRR, 2023

Continual Invariant Risk Minimization.
CoRR, 2023

Approximate Answering of Graph Queries.
CoRR, 2023

Learning Disentangled Discrete Representations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Neural PDE Solvers with Parameter-Guided Channel Attention.
Proceedings of the International Conference on Machine Learning, 2023

SIMPLE: A Gradient Estimator for k-Subset Sampling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Joint Multilingual Knowledge Graph Completion and Alignment.
CoRR, 2022

Learning to Explain Graph Neural Networks.
CoRR, 2022

PDEBench: An Extensive Benchmark for Scientific Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ordered Subgraph Aggregation Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Joint Multilingual Knowledge Graph Completion and Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MILIE: Modular & Iterative Multilingual Open Information Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction.
CoRR, 2021

BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens.
CoRR, 2021

VEGN: Variant Effect Prediction with Graph Neural Networks.
CoRR, 2021

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Learning of Discrete-Continuous Computation Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Backpropagating through Markov Logic Networks.
Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021

Learning Sparsity of Representations with Discrete Latent Variables.
Proceedings of the International Joint Conference on Neural Networks, 2021

Interpreting Node Embedding with Text-labeled Graphs.
Proceedings of the International Joint Conference on Neural Networks, 2021

Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs.
Proceedings of the 9th International Conference on Learning Representations, 2021

User profiling by network observers.
Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

Wayfinder: towards automatically deriving optimal OS configurations.
Proceedings of the APSys '21: 12th ACM SIGOPS Asia-Pacific Workshop on Systems, 2021

Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Explaining Neural Matrix Factorization with Gradient Rollback.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst., 2020

TransRev: Modeling Reviews as Translations from Users to Items.
Proceedings of the Advances in Information Retrieval, 2020

2019
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

State-Regularized Recurrent Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Discrete Structures for Graph Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

MMKG: Multi-modal Knowledge Graphs.
Proceedings of the Semantic Web - 16th International Conference, 2019

Attending to Future Tokens for Bidirectional Sequence Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Early Detection of Infection Chains & Outbreaks: Use Case Infection Control.
Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2018
Learning Representations of Missing Data for Predicting Patient Outcomes.
CoRR, 2018

On embeddings as an alternative paradigm for relational learning.
CoRR, 2018

Contextual Hourglass Networks for Segmentation and Density Estimation.
CoRR, 2018

BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism.
CoRR, 2018

Representation Learning for Resource Usage Prediction.
CoRR, 2018

KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

LRMM: Learning to Recommend with Missing Modalities.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Sequence Encoders for Temporal Knowledge Graph Completion.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Towards a Spectrum of Graph Convolutional Networks.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Knowledge Graph Completion to Predict Polypharmacy Side Effects.
Proceedings of the Data Integration in the Life Sciences - 13th International Conference, 2018

Learning Short-Cut Connections for Object Counting.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
An infrastructure for probabilistic reasoning with web ontologies.
Semantic Web, 2017

Representation Learning for Visual-Relational Knowledge Graphs.
CoRR, 2017

Net2Vec: Deep Learning for the Network.
Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 2017

Network Data Monetization Using Net2Vec.
Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

Learning Graph Representations with Embedding Propagation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Discriminative Gaifman Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Convolutional Neural Networks for Graphs.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Learning and Inference in Tractable Probabilistic Knowledge Bases.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Lifted Probabilistic Inference for Asymmetric Graphical Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
On the completeness of the semigraphoid axioms for deriving arbitrary from saturated conditional independence statements.
Inf. Process. Lett., 2014

Completeness and optimality in ontology alignment debugging.
Proceedings of the 9th International Workshop on Ontology Matching collocated with the 13th International Semantic Web Conference (ISWC 2014), 2014

LODE: Linking digital humanities content to the web of data.
Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

Exchangeable Variable Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Tractable Probabilistic Knowledge Bases: Wikipedia and Beyond.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
On the conditional independence implication problem: A lattice-theoretic approach.
Artif. Intell., 2013

Integrating Open and Closed Information Extraction: Challenges and First Steps.
Proceedings of the NLP & DBpedia workshop co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

Statistical Relational Data Integration for Information Extraction.
Proceedings of the Reasoning Web. Semantic Technologies for Intelligent Data Access - 9th International Summer School 2013, Mannheim, Germany, July 30, 2013

Computing Incoherence Explanations for Learned Ontologies.
Proceedings of the Web Reasoning and Rule Systems - 7th International Conference, 2013

RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models.
Proceedings of the Statistical Relational Artificial Intelligence, 2013

Symmetry-Aware Marginal Density Estimation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Markov Chains on Orbits of Permutation Groups.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Lifted Probabilistic Inference: An MCMC Perspective.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Towards Distributed MCMC Inference in Probabilistic Knowledge Bases.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

Probabilistic Optimization of Semantic Process Model Matching.
Proceedings of the Business Process Management - 10th International Conference, 2012

2011
From encyclopedia to ontology: toward dynamic representation of the discipline of philosophy.
Synth., 2011

Recognizing interleaved and concurrent activities using qualitative and quantitative temporal relationships.
Pervasive Mob. Comput., 2011

Coherent Top-k Ontology Alignment for OWL EL.
Proceedings of the Scalable Uncertainty Management - 5th International Conference, 2011

Reasoning under Uncertainty with Log-Linear Description Logics.
Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), 2011

Probabilistic-Logical Web Data Integration.
Proceedings of the Reasoning Web. Semantic Technologies for the Web of Data, 2011

ELOG: A Probabilistic Reasoner for OWL EL.
Proceedings of the Web Reasoning and Rule Systems - 5th International Conference, 2011

Recognizing interleaved and concurrent activities: A statistical-relational approach.
Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

Fine-Grained Sentiment Analysis with Structural Features.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Log-Linear Description Logics.
Proceedings of the IJCAI 2011, 2011

Statistical Schema Induction.
Proceedings of the Semantic Web: Research and Applications, 2011

2010
"Towards Collaboratively Learning and Populating Ontologies for the Social-Semantic Web" by Mathias Niepert, with Jessica Rubart as coordinator.
SIGWEB Newsl., 2010

Logical and algorithmic properties of stable conditional independence.
Int. J. Approx. Reason., 2010

A Delayed Column Generation Strategy for Exact k-Bounded MAP Inference in Markov Logic Networks.
Proceedings of the UAI 2010, 2010

BRAMBLE: A Web-based Framework for Interactive RDF-Graph Visualisation.
Proceedings of the ISWC 2010 Posters & Demonstrations Track: Collected Abstracts, 2010

CODI: Combinatorial Optimization for Data Integration: results for OAEI 2010.
Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), 2010

Crowdsourcing the assembly of concept hierarchies.
Proceedings of the 2010 Joint International Conference on Digital Libraries, 2010

A Statistical-Relational Activity Recognition Framework for Ambient Assisted Living Systems.
Proceedings of the Ambient Intelligence and Future Trends, 2010

Thesaurus Extension Using Web Search Engines.
Proceedings of the Role of Digital Libraries in a Time of Global Change, 2010

Leveraging Terminological Structure for Object Reconciliation.
Proceedings of the Semantic Web: Research and Applications, 2010

A Probabilistic-Logical Framework for Ontology Matching.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
InPhO: A System for Collaboratively Populating and Extending a Dynamic Ontology.
Bull. IEEE Tech. Comm. Digit. Libr., 2009

Logical Inference Algorithms and Matrix Representations for Probabilistic Conditional Independence.
Proceedings of the UAI 2009, 2009

2008
The World is Not Flat: Expertise and InPhO.
First Monday, 2008

On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach.
Proceedings of the UAI 2008, 2008

Answer Set Programming on Expert Feedback to Populate and Extend Dynamic Ontologies.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
A dynamic ontology for a dynamic reference work.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007


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