Dan Busbridge - RankMe

40 papers A* 10A 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Design Space of Tri-Modal Masked Diffusion Models. CoRR Louis Béthune, Victor Turrisi, Bruno Kacper Mlodozeniec, Pau Rodríguez López, Lokesh Boominathan, Nikhil Bhendawade, Amitis Shidani, Joris Pelemans, Theo X. Olausson, R. Devon Hjelm, Paul Dixon, João Monteiro, Pierre Ablin, Vishnu Banna, Arno Blaas, Nick Henderson, Kari Noriy, Dan Busbridge, Joshua M. Susskind, Marco Cuturi, Irina Belousova, Luca Zappella, Russ Webb, Jason Ramapuram
2025	J	`jnl`	Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration. CoRR Bruno Mlodozeniec, Pierre Ablin, Louis Béthune, Dan Busbridge, Michal Klein, Jason Ramapuram, Marco Cuturi
2025	A*	`conf`	Distillation Scaling Laws. ICML Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russell Webb
2025	J	`jnl`	Distillation Scaling Laws. CoRR Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russ Webb
2025	J	`jnl`	How PARTs assemble into wholes: Learning the relative composition of images. CoRR Melika Ayoughi, Samira Abnar, Chen Huang, Christopher Michael Sandino, Sayeri Lala, Eeshan Gunesh Dhekane, Dan Busbridge, Shuangfei Zhai, Vimal Thilak, Joshua M. Susskind, Pascal Mettes, Paul Groth, Hanlin Goh
2025	A*	`conf`	Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. ICML Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin El-Nouby, Joshua M. Susskind, Vimal Thilak
2025	J	`jnl`	Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. CoRR Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin Mohamed Elnouby Ali, Joshua M. Susskind, Vimal Thilak
2025	J	`jnl`	Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training. CoRR Jakub Krajewski, Amitis Shidani, Dan Busbridge, Sam Wiseman, Jason Ramapuram
2025	A*	`conf`	Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection. ICML Louis Béthune, David Grangier, Dan Busbridge, Eleonora Gualdoni, Marco Cuturi, Pierre Ablin
2025	J	`jnl`	Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection. CoRR Louis Béthune, David Grangier, Dan Busbridge, Eleonora Gualdoni, Marco Cuturi, Pierre Ablin
2025	J	`jnl`	Scaling Laws for Optimal Data Mixtures. CoRR Mustafa Shukor, Louis Béthune, Dan Busbridge, David Grangier, Enrico Fini, Alaaeldin El-Nouby, Pierre Ablin
2025	A*	`conf`	Theory, Analysis, and Best Practices for Sigmoid Self-Attention. ICLR Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane, Floris Weers, Dan Busbridge, Pierre Ablin, Tatiana Likhomanenko, Jagrit Digani, Zijin Gu, Amitis Shidani, Russell Webb
2024	A*	`conf`	Poly-View Contrastive Learning. ICLR Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russell Webb, Eeshan Gunesh Dhekane, Dan Busbridge
2024	J	`jnl`	Poly-View Contrastive Learning. CoRR Amitis Shidani, R. Devon Hjelm, Jason Ramapuram, Russ Webb, Eeshan Gunesh Dhekane, Dan Busbridge
2024	A	`conf`	REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. WACV Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge
2024	J	`jnl`	Theory, Analysis, and Best Practices for Sigmoid Self-Attention. CoRR Jason Ramapuram, Federico Danieli, Eeshan Gunesh Dhekane, Floris Weers, Dan Busbridge, Pierre Ablin, Tatiana Likhomanenko, Jagrit Digani, Zijin Gu, Amitis Shidani, Russ Webb
2023	J	`jnl`	Bootstrap Your Own Variance. CoRR Polina Turishcheva, Jason Ramapuram, Sinead Williamson, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb
2023	A*	`conf`	DUET: 2D Structured and Approximately Equivariant Representations. ICML Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	J	`jnl`	DUET: 2D Structured and Approximately Equivariant Representations. CoRR Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	A*	`conf`	How to Scale Your EMA. NeurIPS Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb
2023	J	`jnl`	How to Scale Your EMA. CoRR Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau, Russ Webb
2023	J	`jnl`	REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation. CoRR Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge
2023	A*	`conf`	Stabilizing Transformer Training by Preventing Attention Entropy Collapse. ICML Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
2023	J	`jnl`	Stabilizing Transformer Training by Preventing Attention Entropy Collapse. CoRR Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind
2023	A*	`conf`	The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	J	`jnl`	The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
2022	J	`jnl`	Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer. CoRR Andrius Ovsianas, Jason Ramapuram, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb
2022	A*	`conf`	Position Prediction as an Effective Pretraining Strategy. ICML Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	J	`jnl`	Position Prediction as an Effective Pretraining Strategy. CoRR Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022	J	`jnl`	The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study. CoRR Claire Woodcock, Brent D. Mittelstadt, Dan Busbridge, Grant Blank
2021	J	`jnl`	Do Self-Supervised and Supervised Methods Learn Similar Visual Representations? CoRR Tom George Grigg, Dan Busbridge, Jason Ramapuram, Russ Webb
2021	J	`jnl`	Evaluating the fairness of fine-tuning strategies in self-supervised learning. CoRR Jason Ramapuram, Dan Busbridge, Russ Webb
2021	J	`jnl`	Stochastic Contrastive Learning. CoRR Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb
2020	J	`jnl`	Learning medical triage from clinicians using Deep Q-Learning. CoRR Albert Buchard, Baptiste Bouvier, Giulia Prando, Rory Beard, Michail Livieratos, Dan Busbridge, Daniel H. Thompson, Jonathan G. Richens, Yuanzhao Zhang, Adam Baker, Yura Perov, Kostis Gourgoulias, Saurabh Johri
2020	—	`conf`	Neural Temporal Point Processes For Modelling Electronic Health Records. ML4H@NeurIPS Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Hammerla
2020	J	`jnl`	Neural Temporal Point Processes For Modelling Electronic Health Records. CoRR Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Y. Hammerla
2019	J	`jnl`	Neural Language Priors. CoRR Joseph Enguehard, Dan Busbridge, Vitalii Zhelezniak, Nils Y. Hammerla
2019	J	`jnl`	Relational Graph Attention Networks. CoRR Dan Busbridge, Dane Sherburn, Pietro Cavallo, Nils Y. Hammerla
2018	—	`conf`	Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks. ICLR (Workshop) Vitalii Zhelezniak, Dan Busbridge, April Shen, Samuel L. Smith, Nils Y. Hammerla
2018	J	`jnl`	Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks. CoRR Vitalii Zhelezniak, Dan Busbridge, April Shen, Samuel L. Smith, Nils Y. Hammerla