Davis Brown - RankMe

34 papers A* 6Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aggressive Compression Enables LLM Weight Theft. CoRR Davis Brown, Juan Pablo Rivera, Dan Hendrycks, Mantas Mazeika
2026	J	`jnl`	MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning. CoRR Jesse He, Helen Jenne, Max Vargas, Davis Brown, Gal Mishne, Yusu Wang, Henry Kvinge
2026	J	`jnl`	What do Geometric Hallucination Detection Metrics Actually Measure? CoRR Eric Yeats, John Buckheit, Sarah Scullen, Brendan Kennedy, Loc Truong, Davis Brown, Bill Kay, Cliff A. Joslyn, Tegan Emerson, Michael J. Henry, John Emanuello, Henry Kvinge
2025	J	`jnl`	Adaptively evaluating models with task elicitation. CoRR Davis Brown, Prithvi Balehannina, Helen Jin, Shreya Havaldar, Hamed Hassani, Eric Wong
2025	A*	`conf`	Adaptively profiling models with task elicitation. EMNLP Davis Brown, Prithvi Balehannina, Helen Jin, Shreya Havaldar, Hamed Hassani, Eric Wong
2025	J	`jnl`	Benchmarking Misuse Mitigation Against Covert Adversaries. CoRR Davis Brown, Mahdi Sabbaghi, Luze Sun, Alexander Robey, George J. Pappas, Eric Wong, Hamed Hassani
2025	J	`jnl`	BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks. CoRR Sagnik Anupam, Davis Brown, Shuo Li, Eric Wong, Hamed Hassani, Osbert Bastani
2025	J	`jnl`	Even with AI, Bijection Discovery is Still Hard: The Opportunities and Challenges of OpenEvolve for Novel Bijection Construction. CoRR Davis Brown, Jesse He, Helen Jenne, Henry Kvinge, Max Vargas
2025	A*	`conf`	Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics. ICML Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas, Sara C. Billey, Henry Kvinge
2025	J	`jnl`	Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics. CoRR Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas, Sara C. Billey, Henry Kvinge
2025	A*	`conf`	Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes. ICML Jesse He, Helen Jenne, Herman Chau, Davis Brown, Mark Raugas, Sara C. Billey, Henry Kvinge
2024	J	`jnl`	Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes. CoRR Jesse He, Helen Jenne, Herman Chau, Davis Brown, Mark Raugas, Sara C. Billey, Henry Kvinge
2024	J	`jnl`	Model editing for distribution shifts in uranium oxide morphological analysis. CoRR Davis Brown, Cody Nizinski, Madelyn Shapiro, Corey Fallon, Tianzhixi Yin, Henry Kvinge, Jonathan H. Tu
2023	J	`jnl`	Attributing Learned Concepts in Neural Networks to Training Data. CoRR Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan H. Tu, Henry Kvinge, Davis Brown
2023	A*	`conf`	Experimental Observations of the Topology of Convolutional Neural Network Activations. AAAI Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
2023	J	`jnl`	Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension. CoRR Henry Kvinge, Davis Brown, Charles Godfrey
2023	J	`jnl`	Fast computation of permutation equivariant layers with the partition algebra. CoRR Charles Godfrey, Michael G. Rawson, Davis Brown, Henry Kvinge
2023	J	`jnl`	Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus. CoRR Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung H. Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge
2023	—	`conf`	Haldane bundles: a dataset for learning to predict the Chern number of line bundles on the torus. NeurReps Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge
2023	—	`conf`	How many dimensions are required to find an adversarial example? CVPR Workshops Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler
2023	J	`jnl`	How many dimensions are required to find an adversarial example? CoRR Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler
2023	—	`conf`	Internal representations of vision models through the lens of frames on data manifolds. NeurReps Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson
2023	—	`conf`	Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools. CVPR Workshops Davis Brown, Henry Kvinge
2023	J	`jnl`	On Privileged and Convergent Bases in Neural Network Representations. CoRR Davis Brown, Nikhil Vyas, Yamini Bansal
2023	J	`jnl`	Robustness of edited neural networks. CoRR Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan H. Tu, Henry Kvinge
2023	J	`jnl`	Understanding the Inner Workings of Language Models Through Representation Dissimilarity. CoRR Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge
2023	A*	`conf`	Understanding the Inner-workings of Language Models Through Representation Dissimilarity. EMNLP Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge
2022	J	`jnl`	Convolutional networks inherit frequency sensitivity from image statistics. CoRR Charles Godfrey, Elise Bishoff, Myles Mckay, Davis Brown, Grayson Jorgenson, Henry Kvinge, Eleanor Byler
2022	J	`jnl`	Experimental Observations of the Topology of Convolutional Neural Network Activations. CoRR Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
2022	J	`jnl`	Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them. CoRR Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson
2022	A*	`conf`	On the Symmetries of Deep Learning Models and their Internal Representations. NeurIPS Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge
2022	J	`jnl`	On the Symmetries of Deep Learning Models and their Internal Representations. CoRR Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge
2022	J	`jnl`	The SVD of Convolutional Weights: A CNN Interpretability Framework. CoRR Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang
2021	J	`jnl`	Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack. CoRR Davis Brown, Henry Kvinge