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2020 – today
- 2024
[j1]Jack W. Miller, Charles O'Neill, Thang D. Bui:
Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity. Trans. Mach. Learn. Res. 2024 (2024)- [i12]Ernest Perkowski, Rui Pan, Tuan Dung Nguyen, Yuan-Sen Ting
, Sandor Kruk, Tong Zhang, Charlie O'Neill, Maja Jablonska, Zechang Sun, Michael J. Smith, Huiling Liu, Kevin Schawinski, Kartheik Iyer, Ioana Ciuca, UniverseTBD:
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. CoRR abs/2401.01916 (2024) - [i11]Jack W. Miller, Patrick Gleeson, Charles O'Neill, Thang D. Bui, Noam Levi:
Measuring Sharpness in Grokking. CoRR abs/2402.08946 (2024) - [i10]Charles O'Neill, Thang D. Bui:
Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Models. CoRR abs/2405.12522 (2024) - [i9]John F. Wu, Alina Hyk, Kiera McCormick, Christine Ye, Simone Astarita, Elina Baral, Jo Ciuca, Jesse Cranney, Anjalie Field, Kartheik Iyer, Philipp Koehn, Jenn Kotler, Sandor Kruk, Michelle Ntampaka, Charles O'Neill, Joshua E. G. Peek, Sanjib Sharma, Mikaeel Yunus:
Designing an Evaluation Framework for Large Language Models in Astronomy Research. CoRR abs/2405.20389 (2024) - [i8]Charles O'Neill, Christine Ye, Kartheik Iyer, John F. Wu:
Disentangling Dense Embeddings with Sparse Autoencoders. CoRR abs/2408.00657 (2024) - [i7]Kartheik Iyer, Mikaeel Yunus, Charles O'Neill, Christine Ye, Alina Hyk, Kiera McCormick, Ioana Ciuca, John F. Wu, Alberto Accomazzi, Simone Astarita, Rishabh Chakrabarty, Jesse Cranney, Anjalie Field, Tirthankar Ghosal, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Huiling Liu, Gabriel Marchidan, Rohit Mistry, Jill P. Naiman, Joshua E. G. Peek, Mugdha Polimera, Sergio J. Rodríguez Méndez, Kevin Schawinski, Sanjib Sharma, Michael J. Smith, Yuan-Sen Ting, Mike Walmsley:
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. CoRR abs/2408.01556 (2024) - 2023
- [i6]Charles O'Neill:
Rice paddy disease classifications using CNNs. CoRR abs/2303.08415 (2023) - [i5]Charles O'Neill, Yuan-Sen Ting, Ioana Ciuca, Jack W. Miller, Thang D. Bui:
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation. CoRR abs/2308.07645 (2023) - [i4]Charles O'Neill, Jack W. Miller, Ioana Ciuca, Yuan-Sen Ting, Thang D. Bui:
Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content. CoRR abs/2308.13768 (2023) - [i3]Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciuca, Charlie O'Neill, Zechang Sun, Maja Jablonska, Sandor Kruk, Ernest Perkowski, Jack W. Miller, Jason Li, Josh Peek, Kartheik Iyer, Tomasz Rózanski, Pranav Khetarpal, Sharaf Zaman, David Brodrick, Sergio J. Rodríguez Méndez, Thang D. Bui, Alyssa Goodman, Alberto Accomazzi, Jill P. Naiman, Jesse Cranney, Kevin Schawinski, UniverseTBD:
AstroLLaMA: Towards Specialized Foundation Models in Astronomy. CoRR abs/2309.06126 (2023) - [i2]Jack W. Miller, Charles O'Neill, Thang D. Bui:
Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity. CoRR abs/2310.17247 (2023) - 2022
- [i1]Jack W. Miller, Charles O'Neill, Navid C. Constantinou, Omri Azencot:
Eigenvalue initialisation and regularisation for Koopman autoencoders. CoRR abs/2212.12086 (2022)
2000 – 2009
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