Karl Pazdernik

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models. CoRR Souradeep Chattopadhyay, Brendan Kennedy, Sai Munikoti, Soumik Sarkar, Karl Pazdernik
2026	J	`jnl`	Generalist multimodal AI: A review of architectures, challenges and opportunities. Neurocomputing Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik
2026	J	`jnl`	Uncertainty Quantification for Named Entity Recognition via Full-Sequence and Subsequence Conformal Prediction. CoRR Matthew Singer, Srijan Sengupta, Karl Pazdernik
2025	J	`jnl`	Bayesian SegNet for Semantic Segmentation with Improved Interpretation of Microstructural Evolution During Irradiation of Materials. CoRR Marjolein T. Oostrom, Alex Hagen, Nicole LaHaye, Karl Pazdernik
2024	J	`jnl`	Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities. CoRR Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E. Thompson, Karl Pazdernik
2024	J	`jnl`	RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana
2024	J	`jnl`	Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models. CoRR Ian Stewart, Sameera Horawalavithana, Brendan Kennedy, Sai Munikoti, Karl Pazdernik
2023	J	`jnl`	On the Behavior of Audio-Visual Fusion Architectures in Identity Verification Tasks. CoRR Daniel Claborne, Eric Slyman, Karl Pazdernik
2022	J	`jnl`	DBCal: Density Based Calibration of classifier predictions for uncertainty quantification. CoRR Alex Hagen, Karl Pazdernik, Nicole LaHaye, Marjolein T. Oostrom
2021	J	`jnl`	Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance. CoRR Alex Hagen, Shane Jackson, James Kahn, Jan Strube, Isabel Haide, Karl Pazdernik, Connor Hainje
2021	J	`jnl`	Estimating basis functions in massive fields under the spatial mixed effects model. Stat. Anal. Data Min. Karl Pazdernik, Ranjan Maitra
2021	J	`jnl`	NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains. CoRR Lee Burke, Karl Pazdernik, Daniel Fortin, Benjamin Wilson, Rustam Goychayev, John K. Mattingly
2019	J	`jnl`	Determining Individual Origin Similarity (DInOS): Binary Classification of Authors Using Stylometric Features. CoRR A. Kingsland, Daniel Fortin, E. Cary, S. Smith, Karl Pazdernik, R. Perko
2019	—	`conf`	Simultaneous Multivariate Outlier and Trend Detection. DSW Karl Pazdernik, Bryan Stanfill, Lisa Bramer, Kellie J. MacPhee
2018	J	`jnl`	Twitter Geolocation: A Hybrid Approach. ACM Trans. Knowl. Discov. Data Jordan Bakerman, Karl Pazdernik, Alyson G. Wilson, Geoffrey Fairchild, Rian Bahran