Matejek, Brian

8 publications

TMLR 2025 SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection Brian Matejek, Ashish Gehani, Nathaniel D. Bastian, Daniel J Clouse, Bradford J Kline, Susmit Jha

NeurIPS 2025 SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb

NeurIPSW 2024 Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy, Brian Matejek, Manoj Acharya, Daniel Elenius, Alexander Michael Berenbeim, John A. Pavlik, Nathaniel D. Bastian, Susmit Jha

AAAI 2024 Direct Amortized Likelihood Ratio Estimation Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha

NeurIPSW 2024 SpikingVTG: Saliency Feedback Gating Enabled Spiking Video Temporal Grounding Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb

NeurIPSW 2024 SpikingVTG: Saliency Feedback Gating Enabled Spiking Video Temporal Grounding Malyaban Bal, Brian Matejek, Susmit Jha, Adam D. Cobb

ECML-PKDD 2022 Algorithmic Tools for Understanding the Motif Structure of Networks Tianyi Chen, Brian Matejek, Michael Mitzenmacher, Charalampos E. Tsourakakis

ECCV 2020 Two Stream Active Query Suggestion for Active Learning in Connectomics Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel Berger, Brian Matejek, Lee Kamentsky, Adi Peleg, Daniel Haehn, Thouis Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister