A Simple Way to Incorporate Novelty Detection in World Models. - Geigh Zollicoffer; Kenneth Eaton; Jonathan C. Balloch; Julia M. Kim; Mark O. Riedl; Robert Wright (CoRR, 2023)

Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning. - Jonathan C. Balloch; Rishav Bhagat; Geigh Zollicoffer; Ruoran Jia; Julia M. Kim; Mark O. Riedl (CoRR, 2024)

Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization. - Kshitij Bhatta; Geigh Zollicoffer; Manish Bhattarai; Phil Romero; Christian F. A. Negre; Anders M. N. Niklasson; Adetokunbo Adedoyin (CoRR, 2024)

Towards Faster Matrix Diagonalization with Graph Isomorphism Networks and the AlphaZero Framework. - Geigh Zollicoffer; Kshitij Bhatta; Manish Bhattarai; Phil Romero; Christian F. A. Negre; Anders M. N. Niklasson; Adetokunbo Adedoyin (CoRR, 2024)

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization. - Minh N. Vu; Ben Nebgen; Erik Skau; Geigh Zollicoffer; Juan Castorena; Kim Ø. Rasmussen; Boian S. Alexandrov; Manish Bhattarai (CoRR, 2024)

LoRID: Low-Rank Iterative Diffusion for Adversarial Purification. - Geigh Zollicoffer; Minh N. Vu; Ben Nebgen; Juan Castorena; Boian S. Alexandrov; Manish Bhattarai (AAAI, 2025)

Topological Signatures of Adversaries in Multimodal Alignments. - Minh N. Vu; Geigh Zollicoffer; Huy Mai; Ben Nebgen; Boian S. Alexandrov; Manish Bhattarai (CoRR, 2025)

Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation. - Geigh Zollicoffer; Minh N. Vu; Manish Bhattarai (CoRR, 2025)