Heatflip: Temporal-Spatial Sampling for Progressive Heat Maps on Social Media Data. - Niklas Stoehr; Johannes Meyer; Volker Markl; Qiushi Bai; Taewoo Kim 001; De-Yu Chen; Chen Li 001 (IEEE BigData, 2018)

From Accuracy to Versatility: Analysing Text Classification Models Regarding Transfer Learning. - Niklas Stoehr; Luis Sanchez; Daniil Gannota; Fabian Falck (SNAMS, 2019)

Disentangling Interpretable Generative Parameters of Random and Real-World Graphs. - Niklas Stoehr; Marc Brockschmidt; Jan Stuehmer; Emine Yilmaz (CoRR, 2019)

Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends. - Niklas Stoehr; Fabian Braesemann; Michael Frommelt; Shi Zhou (CoRR, 2019)

Classifying Dyads for Militarized Conflict Analysis. - Niklas Stoehr; Lucas Torroba Hennigen; Samin Ahbab; Robert West 001; Ryan Cotterell (EMNLP (1), 2021)

What About the Precedent: An Information-Theoretic Analysis of Common Law. - Josef Valvoda; Tiago Pimentel; Niklas Stoehr; Ryan Cotterell; Simone Teufel (NAACL-HLT, 2021)

Recovering Barabási-Albert Parameters of Graphs through Disentanglement. - Cristina Guzman; Daphna Keidar; Tristan Meynier; Andreas Opedal; Niklas Stoehr (CoRR, 2021)

SeismographAPI: Visualising Temporal-Spatial Crisis Data. - Raphael Lepuschitz; Niklas Stoehr (CoRR, 2021)

Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022. - Ali Hürriyetoglu; Osman Mutlu; Firat Durusan; Onur Uca; Alaeddin Selçuk Gürel; Benjamin J. Radford; Yaoyao Dai; Hansi Hettiarachchi; Niklas Stoehr; Tadashi Nomoto; Milena Slavcheva; Francielle Vargas; et al. (CASE@EMNLP, 2022)

Attentional Probe: Estimating a Module's Functional Potential. - Tiago Pimentel; Josef Valvoda; Niklas Stoehr; Ryan Cotterell (EMNLP, 2022)

UniMorph 4.0: Universal Morphology. - Khuyagbaatar Batsuren; Omer Goldman; Salam Khalifa; Nizar Habash; Witold Kieras; Gábor Bella; Brian Leonard; Garrett Nicolai; Kyle Gorman; Yustinus Ghanggo Ate; Maria Ryskina; Sabrina J. Mielke; et al. (LREC, 2022)

Rethinking the Event Coding Pipeline with Prompt Entailment. - Clément Lefebvre; Niklas Stoehr (CoRR, 2022)

The Architectural Bottleneck Principle. - Tiago Pimentel; Josef Valvoda; Niklas Stoehr; Ryan Cotterell (CoRR, 2022)

The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. - Niklas Stoehr; Benjamin J. Radford; Ryan Cotterell; Aaron Schein (CoRR, 2022)

Fear-anger contests: Governmental and populist politics of emotion. - Jörg Friedrichs; Niklas Stoehr; Giuliano Formisano (Online Soc. Networks Media, 2022)

Generalizing Backpropagation for Gradient-Based Interpretability. - Kevin Du; Lucas Torroba Hennigen; Niklas Stoehr; Alex Warstadt; Ryan Cotterell (ACL (1), 2023)

World Models for Math Story Problems. - Andreas Opedal; Niklas Stoehr; Abulhair Saparov; Mrinmaya Sachan (ACL (Findings), 2023)

An Ordinal Latent Variable Model of Conflict Intensity. - Niklas Stoehr; Lucas Torroba Hennigen; Josef Valvoda; Robert West 001; Ryan Cotterell; Aaron Schein (ACL (1), 2023)

The Ordered Matrix Dirichlet for State-Space Models. - Niklas Stoehr; Benjamin J. Radford; Ryan Cotterell; Aaron Schein (AISTATS, 2023)

Sentiment as an Ordinal Latent Variable. - Niklas Stoehr; Ryan Cotterell; Aaron Schein (EACL, 2023)

Extracting Victim Counts from Text. - Mian Zhong; Shehzaad Dhuliawala; Niklas Stoehr (EACL, 2023)

ACTI at EVALITA 2023: Automatic Conspiracy Theory Identification Task Overview (short paper). - Giuseppe Russo Latona; Niklas Stoehr; Manoel Horta Ribeiro (EVALITA, 2023)

ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task. - Giuseppe Russo Latona; Niklas Stoehr; Manoel Horta Ribeiro (CoRR, 2023)

Context versus Prior Knowledge in Language Models. - Kevin Du; Vésteinn Snæbjarnarson; Niklas Stoehr; Jennifer C. White; Aaron Schein; Ryan Cotterell (ACL (1), 2024)

Unsupervised Contrast-Consistent Ranking with Language Models. - Niklas Stoehr; Pengxiang Cheng 001; Jing Wang 069; Daniel Preotiuc-Pietro; Rajarshi Bhowmik (EACL (1), 2024)

Activation Scaling for Steering and Interpreting Language Models. - Niklas Stoehr; Kevin Du; Vésteinn Snæbjarnarson; Robert West 001; Ryan Cotterell; Aaron Schein (EMNLP (Findings), 2024)

Localizing Paragraph Memorization in Language Models. - Niklas Stoehr; Mitchell Gordon; Chiyuan Zhang; Owen Lewis (CoRR, 2024)

Taxonomy-Aware Evaluation of Vision-Language Models. - Vésteinn Snæbjarnarson; Kevin Du; Niklas Stoehr; Serge J. Belongie; Ryan Cotterell; Nico Lang; Stella Frank (CVPR, 2025)

Controllable Context Sensitivity and the Knob Behind It. - Julian Minder; Kevin Du; Niklas Stoehr; Giovanni Monea; Chris Wendler; Robert West 001; Ryan Cotterell (ICLR, 2025)