Bobby He - RankMe

22 papers A* 9A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Revisiting Knowledge Distillation: The Hidden Role of Dataset Size. CoRR Giulia Lanzillotta, Felix Sarnthein, Gil Kur, Thomas Hofmann, Bobby He
2025	A*	`conf`	The Directionality of Optimization Trajectories in Neural Networks. ICLR Sidak Pal Singh, Bobby He, Thomas Hofmann, Bernhard Schölkopf
2024	J	`jnl`	Hallmarks of Optimization Trajectories in Neural Networks and LLMs: The Lengths, Bends, and Dead Ends. CoRR Sidak Pal Singh, Bobby He, Thomas Hofmann, Bernhard Schölkopf
2024	A*	`conf`	Recurrent Distance Filtering for Graph Representation Learning. ICML Yuhui Ding, Antonio Orvieto, Bobby He, Thomas Hofmann
2024	A*	`conf`	Simplifying Transformer Blocks. ICLR Bobby He, Thomas Hofmann
2024	J	`jnl`	Understanding and Minimising Outlier Features in Neural Network Training. CoRR Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann
2024	A*	`conf`	Understanding and Minimising Outlier Features in Transformer Training. NeurIPS Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann
2023	A*	`conf`	Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation. ICLR Bobby He, James Martens, Guodong Zhang, Aleksandar Botev, Andrew Brock, Samuel L. Smith, Yee Whye Teh
2023	J	`jnl`	Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation. CoRR Bobby He, James Martens, Guodong Zhang, Aleksandar Botev, Andrew Brock, Samuel L. Smith, Yee Whye Teh
2023	J	`jnl`	Recurrent Distance-Encoding Neural Networks for Graph Representation Learning. CoRR Yuhui Ding, Antonio Orvieto, Bobby He, Thomas Hofmann
2023	J	`jnl`	Simplifying Transformer Blocks. CoRR Bobby He, Thomas Hofmann
2023	A*	`conf`	The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit. NeurIPS Lorenzo Noci, Chuning Li, Mufan Bill Li, Bobby He, Thomas Hofmann, Chris J. Maddison, Dan Roy
2023	J	`jnl`	The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit. CoRR Lorenzo Noci, Chuning Li, Mufan Bill Li, Bobby He, Thomas Hofmann, Chris J. Maddison, Daniel M. Roy
2023	J	`jnl`	UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography. Trans. Mach. Learn. Res. Francisca Vasconcelos, Bobby He, Nalini M. Singh, Yee Whye Teh
2022	A*	`conf`	Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning. ICML Bobby He, Mete Ozay
2022	A*	`conf`	Feature Kernel Distillation. ICLR Bobby He, Mete Ozay
2022	J	`jnl`	UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography. CoRR Francisca Vasconcelos, Bobby He, Nalini M. Singh, Yee Whye Teh
2021	J	`jnl`	Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning. CoRR Soufiane Hayou, Bobby He, Gintare Karolina Dziugaite
2021	A	`conf`	Stable ResNet. AISTATS Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau
2020	A*	`conf`	Bayesian Deep Ensembles via the Neural Tangent Kernel. NeurIPS Bobby He, Balaji Lakshminarayanan, Yee Whye Teh
2020	J	`jnl`	Bayesian Deep Ensembles via the Neural Tangent Kernel. CoRR Bobby He, Balaji Lakshminarayanan, Yee Whye Teh
2020	J	`jnl`	Stable ResNet. CoRR Soufiane Hayou, Eugenio Clerico, Bobby He, George Deligiannidis, Arnaud Doucet, Judith Rousseau