Tyler Cody - RankMe

64 papers A* 3B 1C 4Journal 33Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures. CoRR Haohui Wang, Jingyuan Qi, Jianpeng Chen, Jun Wu, Lifu Huang, Lecheng Zheng, Kevin Choi, Balaji Veeramani, Edward Bowen, Alison Hu, Tyler Cody, Dawei Zhou
2025	J	`jnl`	Exploring Core and Periphery Precepts in Biological and Artificial Intelligence: An Outcome-Based Perspective. CoRR Niloofar Shadab, Tyler Cody, Alejandro Salado, Taylan G. Topcu, Mohammad Shadab, Peter A. Beling
2025	A*	`conf`	From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing. EMNLP Lanxiao Huang, Daksh Dave, Tyler Cody, Peter A. Beling, Ming Jin
2025	J	`jnl`	From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing. CoRR Lanxiao Huang, Daksh Dave, Ming Jin, Tyler Cody, Peter A. Beling
2025	—	`conf`	GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. EMNLP (Findings) Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025	J	`jnl`	GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. CoRR Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025	—	`conf`	Improving Novel Anomaly Detection with Domain-Invariant Latent Representations. ECML/PKDD (1) Padmaksha Roy, Ming Jin, Himanshu Singhal, Tyler Cody, Kevin Choi
2025	J	`jnl`	LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. CoRR Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou
2025	A*	`conf`	LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. ICML Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou
2025	—	`conf`	MeTTa-TMPAL: MeTTa-Based Architecture for a Self-writing Process Algebra of Learning. AGI (1) Tyler Cody
2025	—	`conf`	Measuring Resilience from Cascading Transfer Learning in Manufacturing Systems. ICDM (Workshops) Tyler Cody, Peter A. Beling
2024	—	`conf`	A Systems Theoretic Approach to Online Machine Learning. SysCon Anli du Preez, Peter A. Beling, Tyler Cody
2024	J	`jnl`	A Systems Theoretic Approach to Online Machine Learning. CoRR Anli du Preez, Peter A. Beling, Tyler Cody
2024	J	`jnl`	Assured Autonomy Through Combinatorial Methods. Computer D. Richard Kuhn, M. S. Raunak, Raghu N. Kacker, Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman
2024	J	`jnl`	Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. CoRR Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen
2024	J	`jnl`	Discovering Command and Control Channels Using Reinforcement Learning. CoRR Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen
2024	—	`conf`	Estimating Contact Force Rate Using Skin Deformation Cues. EuroHaptics (1) Bingxu Li, Gregory J. Gerling, Tyler Cody
2024	A*	`conf`	EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou
2024	J	`jnl`	Leveraging Combinatorial Coverage in the Machine Learning Product Lifecycle. Computer Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman, Raghu N. Kacker, M. S. Raunak, D. Richard Kuhn
2024	—	`conf`	On Extending the Automatic Test Markup Language (ATML) for Machine Learning. SysCon Tyler Cody, Bingtong Li, Peter A. Beling
2024	J	`jnl`	On Extending the Automatic Test Markup Language (ATML) for Machine Learning. CoRR Tyler Cody, Bingtong Li, Peter A. Beling
2024	—	`conf`	Towards a Process Algebra and Operator Theory for Learning System Objects. AGI Tyler Cody, Peter A. Beling
2023	J	`jnl`	A Systems Theory of Transfer Learning. IEEE Syst. J. Tyler Cody, Peter A. Beling
2023	J	`jnl`	A Systems-Theoretical Formalization of Closed Systems. CoRR Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling
2023	J	`jnl`	Active Learning with Combinatorial Coverage. CoRR Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
2023	—	`conf`	Cascading Negative Transfer in Networks of Machine Learning Systems. ICAA Tyler Cody, Peter A. Beling
2023	—	`conf`	Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CAMLIS Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen
2023	J	`jnl`	Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CoRR Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen
2023	J	`jnl`	Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. CoRR Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin
2023	—	`conf`	Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. ICSTW Tyler Cody, Laura J. Freeman
2023	J	`jnl`	Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. CoRR Tyler Cody, Laura J. Freeman
2023	J	`jnl`	Test & Evaluation Best Practices for Machine Learning-Enabled Systems. CoRR Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy, Erin Lanus, Laura J. Freeman
2023	C	`conf`	Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments. ICMLA Stephen C. Adams, Tyler Cody, Ramin Salman Roughani, Peter A. Beling
2023	J	`jnl`	Whole Campaign Emulation with Reinforcement Learning for Cyber Test. IEEE Instrum. Meas. Mag. Tyler Cody, Emma Meno, Peter A. Beling, Laura J. Freeman
2022	J	`jnl`	A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack Graphs. CoRR Tyler Cody
2022	J	`jnl`	A survey of inverse reinforcement learning. Artif. Intell. Rev. Stephen C. Adams, Tyler Cody, Peter A. Beling
2022	C	`conf`	Active Learning with Combinatorial Coverage. ICMLA Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
2022	—	`conf`	Closed Systems Paradigm for Intelligent Systems. SysCon Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling
2022	—	`conf`	Core and Periphery as Closed-System Precepts for Engineering General Intelligence. AGI Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling
2022	J	`jnl`	Core and Periphery as Closed-System Precepts for Engineering General Intelligence. CoRR Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling
2022	—	`conf`	Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. DSC Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. CoRR Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Empirically Measuring Transfer Distance for System Design and Operation. IEEE Syst. J. Tyler Cody, Stephen C. Adams, Peter A. Beling
2022	C	`conf`	Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Generative adversarial networks for data augmentation and transfer in credit card fraud detection. J. Oper. Res. Soc. Alex Langevin, Tyler Cody, Stephen C. Adams, Peter A. Beling
2022	J	`jnl`	Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems. CoRR Tyler Cody
2022	—	`conf`	Homomorphisms Between Transfer, Multi-task, and Meta-learning Systems. AGI Tyler Cody
2022	—	`conf`	On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems. COINS Tyler Cody, Stephen C. Adams, Peter A. Beling, Laura J. Freeman
2022	—	`conf`	Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. ICST Workshops Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman
2022	J	`jnl`	Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. CoRR Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman
2022	—	`conf`	Using Cyber Terrain in Reinforcement Learning for Penetration Testing. COINS Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark, Christopher Redino
2021	J	`jnl`	A Systems Theory of Transfer Learning. CoRR Tyler Cody, Peter A. Beling
2021	—	`conf`	Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. SSCI Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park
2021	J	`jnl`	Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. CoRR Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park
2021	J	`jnl`	Empirically Measuring Transfer Distance for System Design and Operation. CoRR Tyler Cody, Stephen C. Adams, Peter A. Beling
2021	—	`conf`	Mesarovician Abstract Learning Systems. AGI Tyler Cody
2021	J	`jnl`	Mesarovician Abstract Learning Systems. CoRR Tyler Cody
2021	B	`conf`	Pareto-Optimal Active Learning with Cost. SMC Stephen C. Adams, Tyler Cody, Peter A. Beling
2021	C	`conf`	Trade-offs in Metric Learning for Bearing Fault Diagnosis. ICMLA Tyler Cody, Stephen C. Adams, Peter A. Beling
2021	J	`jnl`	Using Cyber Terrain in Reinforcement Learning for Penetration Testing. CoRR Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark
2020	—	`conf`	Hierarchical Classification for Unknown Faults. ICPHM Stephen C. Adams, Tyler Cody, Peter A. Beling, Sherwood Polter, Kevin Farinholt
2019	—	`conf`	A Systems Theoretic Perspective on Transfer Learning. SysCon Tyler Cody, Stephen C. Adams, Peter A. Beling
2019	—	`conf`	Transferring Random Samples in Actuator Systems for Binary Damage Detection. ICPHM Tyler Cody, Stephen C. Adams, Peter A. Beling, Sherwood Polter, Kevin Farinholt, Nathan Hipwell, Ali Chaudhry, Kennet Castillo, Ryan Meekins