Sophie Fellenz

Gabriel Vicente Rodrigues

Andriy Balinskyy

CoRR, May, 2026

Using large language models for solving textbook-style thermodynamic problems.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2026

Continual Neural Topic Model.

[BibT_eX]

[DOI]

Charu Karakkaparambil James

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Reimagining Anomalies: What If Anomalies Were Normal?

[BibT_eX]

[DOI]

Sebastian Josef Vollmer

Charu Karakkaparambil James

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Formally Exploring Time-Series Anomaly Detection Evaluation Metrics.

[BibT_eX]

[DOI]

CoRR, October, 2025

DiffStyleTS: Diffusion Model for Style Transfer in Time Series.

[BibT_eX]

[DOI]

CoRR, October, 2025

PIANO: Physics Informed Autoregressive Network.

[BibT_eX]

[DOI]

CoRR, August, 2025

Continual Neural Topic Model.

[BibT_eX]

[DOI]

Waleed Mustafa

CoRR, August, 2025

Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems.

[BibT_eX]

[DOI]

CoRR, August, 2025

Superstudent intelligence in thermodynamics.

[BibT_eX]

[DOI]

CoRR, June, 2025

Using Large Language Models for Solving Thermodynamic Problems.

[BibT_eX]

[DOI]

CoRR, February, 2025

Sparse Data Generation Using Diffusion Models.

[BibT_eX]

[DOI]

CoRR, February, 2025

Multi-level Supervised Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, February, 2025

Challenging Assumptions in Learning Generic Text Style Embeddings.

[BibT_eX]

[DOI]

Phil Ostheimer

CoRR, January, 2025

On the Challenges and Opportunities in Generative AI.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings.

[BibT_eX]

[DOI]

Carola-Bibiane Schönlieb

Trans. Mach. Learn. Res., 2025

Style Transfer for High-Fidelity Time Series Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Mitigating Spurious Features in Contrastive Learning with Spectral Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors.

[BibT_eX]

[DOI]

Phil Ostheimer

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Enabling Transparent Problem Solving in Thermodynamics with Ontologies and Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of the ESWC 2025 Workshops and Tutorials co-located with 22nd Extended Semantic Web Conference (ESWC 2025), 2025

BBPOS: BERT-based Part-of-Speech Tagging for Uzbek.

[BibT_eX]

[DOI]

Latofat Bobojonova

Arofat Akhundjanova

Phil Sidney Ostheimer

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

KnowTD─An Actionable Knowledge Representation System for Thermodynamics.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

SetPINNs: Set-based Physics-informed Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Comgra: A Tool for Analyzing and Debugging Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

HANNA: Hard-constraint Neural Network for Consistent Activity Coefficient Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

On the Challenges and Opportunities in Generative AI.

[BibT_eX]

[DOI]

CoRR, 2024

Reimagining Anomalies: What If Anomalies Were Normal?

[BibT_eX]

[DOI]

CoRR, 2024

A Benchmark Suite for Verifying Neural Anomaly Detectors in Distillation Processes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Putting Back the Stops: Integrating Syntax with Neural Topic Models.

[BibT_eX]

[DOI]

Charu Karakkaparambil James

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Characterizing Text Datasets with Psycholinguistic Features.

[BibT_eX]

[DOI]

Marcio Monteiro

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Text Style Transfer Evaluation Using Large Language Models.

[BibT_eX]

[DOI]

Phil Sidney Ostheimer

Mayank Kumar Nagda

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Evaluating Dynamic Topic Models.

[BibT_eX]

[DOI]

Charu James

Nooshin Haji Ghassemi

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Deep Anomaly Detection on Tennessee Eastman Process Data.

[BibT_eX]

[DOI]

CoRR, 2023

Potential-based reward shaping for learning to play text-based adventure games.

[BibT_eX]

[DOI]

Weichen Li

Rati Devidze

CoRR, 2023

Ordinal Regression for Difficulty Estimation of StepMania Levels.

[BibT_eX]

[DOI]

CoRR, 2023

Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning.

[BibT_eX]

[DOI]

Weichen Li

Rati Devidze

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Ordinal Regression for Difficulty Prediction of StepMania Levels.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Constraint-Based Parameterization and Disentanglement of Aerodynamic Shapes Using Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

A Call for Standardization and Validation of Text Style Transfer Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021

Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2021

Focusing Knowledge-based Graph Argument Mining via Topic Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

Topic-Guided Knowledge Graph Construction for Argument Mining.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

Towards Identifying Drug Side Effects from Social Media Using Active Learning andCrowd Sourcing.

[BibT_eX]

[DOI]

Miguel A. Andrade-Navarro

Julia Siekiera

Josua Glodde

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

A Survey of Multi-Label Topic Models.

[BibT_eX]

[DOI]

SIGKDD Explor., 2019

Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

2018

Online Multi-label Text Classification using Topic Models.

[BibT_eX]

[DOI]

PhD thesis, 2018

Online multi-label dependency topic models for text classification.

[BibT_eX]

[DOI]

Mach. Learn., 2018

2017

Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Multi-label Classification Using Stacked Hierarchical Dirichlet Processes with Reduced Sampling Complexity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Knowledge, 2017

2015

On the spectrum between binary relevance and classifier chains in multi-label classification.

[BibT_eX]

[DOI]