Karl Pazdernik

According to our database, Karl Pazdernik authored at least 16 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding.

Sai Munikoti, Ian Stewart, Chengping Chai, Lisa Linville, Scott Vasquez, Sameera Horawalavithana, Karl Pazdernik

CoRR, May, 2026

Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models.

Sameera Horawalavithana, Lauren Phillips, Ian Stewart, Sai Munikoti, Karl Pazdernik

CoRR, April, 2026

Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models.

Souradeep Chattopadhyay, Brendan Kennedy, Sai Munikoti, Soumik Sarkar, Karl Pazdernik

CoRR, February, 2026

Uncertainty Quantification for Named Entity Recognition via Full-Sequence and Subsequence Conformal Prediction.

Matthew Singer, Srijan Sengupta, Karl Pazdernik

CoRR, January, 2026

Generalist multimodal AI: A review of architectures, challenges and opportunities.

Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik

Neurocomputing, 2026

2025

Bayesian SegNet for Semantic Segmentation with Improved Interpretation of Microstructural Evolution During Irradiation of Materials.

Marjolein T. Oostrom, Alex Hagen, Nicole LaHaye, Karl Pazdernik

CoRR, February, 2025

2024

Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models.

Ian Stewart, Sameera Horawalavithana, Brendan Kennedy, Sai Munikoti, Karl Pazdernik

CoRR, 2024

RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension.

Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana

CoRR, 2024

2023

On the Behavior of Audio-Visual Fusion Architectures in Identity Verification Tasks.

Daniel Claborne, Eric Slyman, Karl Pazdernik

CoRR, 2023

2022

DBCal: Density Based Calibration of classifier predictions for uncertainty quantification.

Alex Hagen, Karl Pazdernik, Nicole LaHaye, Marjolein T. Oostrom

CoRR, 2022

2021

Estimating basis functions in massive fields under the spatial mixed effects model.

Karl Pazdernik, Ranjan Maitra

Stat. Anal. Data Min., 2021

Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance.

Alex Hagen, Shane Jackson, James Kahn, Jan Strube, Isabel Haide, Karl Pazdernik, Connor Hainje

CoRR, 2021

NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains.

Lee Burke, Karl Pazdernik, Daniel Fortin, Benjamin Wilson, Rustam Goychayev, John K. Mattingly

CoRR, 2021

2019

Determining Individual Origin Similarity (DInOS): Binary Classification of Authors Using Stylometric Features.

A. Kingsland, Daniel Fortin, E. Cary, S. Smith, Karl Pazdernik, R. Perko

CoRR, 2019

Simultaneous Multivariate Outlier and Trend Detection.

Karl Pazdernik, Bryan Stanfill, Lisa Bramer, Kellie J. MacPhee

Proceedings of the IEEE Data Science Workshop, 2019

2018

Twitter Geolocation: A Hybrid Approach.

Jordan Bakerman, Karl Pazdernik, Alyson G. Wilson, Geoffrey Fairchild, Rian Bahran

ACM Trans. Knowl. Discov. Data, 2018