Jason Ramapuram

46 papers A* 11A 2B 1Journal 29Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Small-Scale System for Autoregressive Program Synthesis Enabling Controlled Experimentation. CoRR Russ Webb, Jason Ramapuram
2026	J	`jnl`	Path-Constrained Mixture-of-Experts. CoRR Zijin Gu, Tatiana Likhomanenko, Vimal Thilak, Jason Ramapuram, Navdeep Jaitly
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`	Learning Unmasking Policies for Diffusion Language Models. CoRR Metod Jazbec, Theo X. Olausson, Louis Béthune, Pierre Ablin, Michael Kirchhof, João Monteiro, Victor Turrisi, Jason Ramapuram, Marco Cuturi
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`	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	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	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
2021	—	`conf`	Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
2021	J	`jnl`	Challenges of Adversarial Image Augmentations. CoRR Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
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	—	`—`	Finding signals in the void: Improving deep latent variable generative models via supervisory signals present within data. Jason Ramapuram
2021	A*	`conf`	Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding. ICCV Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Ángel Bautista, Nathan Paczan, Russ Webb, Joshua M. Susskind
2021	A*	`conf`	Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. ICLR Jason Ramapuram, Yan Wu, Alexandros Kalousis
2021	J	`jnl`	Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory. CoRR Jason Ramapuram, Yan Wu, Alexandros Kalousis
2021	J	`jnl`	Stochastic Contrastive Learning. CoRR Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb
2020	B	`conf`	Improving Discrete Latent Representations With Differentiable Approximation Bridges. IJCNN Jason Ramapuram, Russ Webb
2020	J	`jnl`	Lifelong generative modeling. Neurocomputing Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
2020	A*	`conf`	Self-Supervised MultiModal Versatile Networks. NeurIPS Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
2020	J	`jnl`	Self-Supervised MultiModal Versatile Networks. CoRR Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider, Relja Arandjelovic, Jason Ramapuram, Jeffrey De Fauw, Lucas Smaira, Sander Dieleman, Andrew Zisserman
2019	J	`jnl`	Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. CoRR Jason Ramapuram, Russ Webb
2019	A	`conf`	Variational Saccading: Efficient Inference for Large Resolution Images. BMVC Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda, Russ Webb, Alexandros Kalousis
2018	A	`conf`	A New Benchmark and Progress Toward Improved Weakly Supervised Learning. BMVC Jason Ramapuram, Russ Webb
2018	J	`jnl`	A New Benchmark and Progress Toward Improved Weakly Supervised Learning. CoRR Jason Ramapuram, Russ Webb
2018	J	`jnl`	Continual Classification Learning Using Generative Models. CoRR Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
2018	—	`conf`	Large-Scale Nonlinear Variable Selection via Kernel Random Features. ECML/PKDD (2) Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
2018	J	`jnl`	Large-scale Nonlinear Variable Selection via Kernel Random Features. CoRR Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
2018	J	`jnl`	Variational Saccading: Efficient Inference for Large Resolution Images. CoRR Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis
2017	J	`jnl`	Lifelong Generative Modeling. CoRR Jason Ramapuram, Magda Gregorova, Alexandros Kalousis