Jesse Hoogland

14 papers A* 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayesian Influence Functions for Hessian-Free Data Attribution.
CoRR
Philipp Alexander Kreer, Wilson Wu, Maxwell Adam, Zach Furman, Jesse Hoogland
2025 J jnl
Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory.
CoRR
Einar Urdshals, Edmund Lau, Jesse Hoogland, Stan van Wingerden, Daniel Murfet
2025 A* conf
Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient.
ICLR
George Wang, Jesse Hoogland, Stan van Wingerden, Zach Furman, Daniel Murfet
2025 J jnl
Dynamics of Transient Structure in In-Context Linear Regression Transformers.
CoRR
Liam Carroll, Jesse Hoogland, Matthew Farrugia-Roberts, Daniel Murfet
2025 J jnl
From Global to Local: A Scalable Benchmark for Local Posterior Sampling.
CoRR
Rohan Hitchcock, Jesse Hoogland
2025 J jnl
Influence Dynamics and Stagewise Data Attribution.
CoRR
Jin Hwa Lee, Matthew Smith, Maxwell Adam, Jesse Hoogland
2025 J jnl
Loss Landscape Degeneracy and Stagewise Development in Transformers.
Trans. Mach. Learn. Res.
Jesse Hoogland, George Wang, Matthew Farrugia-Roberts, Liam Carroll, Susan Wei, Daniel Murfet
2025 J jnl
Open Problems in Mechanistic Interpretability.
CoRR
Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeff Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, Eric J. Michaud, Stephen Casper, Max Tegmark, William Saunders, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath
2025 J jnl
Open Problems in Mechanistic Interpretability.
Trans. Mach. Learn. Res.
Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, William Saunders, Eric J. Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Tom McGrath
2025 J jnl
Studying Small Language Models with Susceptibilities.
CoRR
Garrett Baker, George Wang, Jesse Hoogland, Daniel Murfet
2025 J jnl
The Loss Kernel: A Geometric Probe for Deep Learning Interpretability.
CoRR
Adam Maxwell, Zach Furman, Jesse Hoogland
2025 J jnl
You Are What You Eat - AI Alignment Requires Understanding How Data Shapes Structure and Generalisation.
CoRR
Simon Pepin Lehalleur, Jesse Hoogland, Matthew Farrugia-Roberts, Susan Wei, Alexander Gietelink Oldenziel, George Wang, Liam Carroll, Daniel Murfet
2024 J jnl
Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient.
CoRR
George Wang, Jesse Hoogland, Stan van Wingerden, Zach Furman, Daniel Murfet
2024 J jnl
The Developmental Landscape of In-Context Learning.
CoRR
Jesse Hoogland, George Wang, Matthew Farrugia-Roberts, Liam Carroll, Susan Wei, Daniel Murfet