Joshua M. Susskind
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
9
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Multimodal Autoregressive Pre-training of Large Vision Encoders. | Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor G. Turrisi da Costa, Louis Bthune, Zhe Gan, Alexander Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby |
| 2025 | CVPR | World-consistent Video Diffusion with Explicit 3D Modeling. | Qihang Zhang, Shuangfei Zhai, Miguel ngel Bautista Martin, Kevin Miao, Alexander Toshev, Joshua M. Susskind, Jiatao Gu |
| 2025 | ICCV | Scaling Laws for Native Multimodal Models. | Mustafa Shukor, Enrico Fini, Victor Guilherme Turrisi da Costa, Matthieu Cord, Joshua M. Susskind, Alaaeldin El-Nouby |
| 2025 | ICLR | Denoising Autoregressive Transformers for Scalable Text-to-Image Generation. | Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Joshua M. Susskind, Shuangfei Zhai |
| 2025 | ICML | Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. | Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind |
| 2025 | ICML | Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models. | Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin El-Nouby, Joshua M. Susskind, Vimal Thilak |
| 2025 | ICML | Mechanisms of Projective Composition of Diffusion Models. | Arwen Bradley, Preetum Nakkiran, David Berthelot, James Thornton, Joshua M. Susskind |
| 2025 | ICML | INRFlow: Flow Matching for INRs in Ambient Space. | Yuyang Wang, Anurag Ranjan, Joshua M. Susskind, Miguel ngel Bautista |
| 2025 | ICML | Normalizing Flows are Capable Generative Models. | Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel ngel Bautista, Navdeep Jaitly, Joshua M. Susskind |
| 2025 | ICML | Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. | Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly |
| 2024 | COLING | Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. | Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Joshua M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly |
| 2024 | ICLR | Pseudo-Generalized Dynamic View Synthesis from a Video. | Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel ngel Bautista, Joshua M. Susskind, Alexander G. Schwing |
| 2024 | ICLR | When can transformers reason with abstract symbols? | Enric Boix-Adser, Omid Saremi, Emmanuel Abbe, Samy Bengio, Etai Littwin, Joshua M. Susskind |
| 2024 | ICLR | Generative Modeling with Phase Stochastic Bridge. | Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua M. Susskind, Shuangfei Zhai |
| 2024 | ICLR | Manifold Diffusion Fields. | Ahmed A. A. Elhag, Yuyang Wang, Joshua M. Susskind, Miguel ngel Bautista |
| 2024 | ICLR | Matryoshka Diffusion Models. | Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly |
| 2024 | ICLR | Vanishing Gradients in Reinforcement Finetuning of Language Models. | Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin |
| 2024 | ICLR | LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. | Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin |
| 2024 | ICLR | Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. | Yuhang Zang, Hanlin Goh, Joshua M. Susskind, Chen Huang |
| 2024 | ICLR | What Algorithms can Transformers Learn? A Study in Length Generalization. | Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua M. Susskind, Samy Bengio, Preetum Nakkiran |
| 2024 | ICML | Scalable Pre-training of Large Autoregressive Image Models. | Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel ngel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin |
| 2024 | ICML | Data-free Distillation of Diffusion Models with Bootstrapping. | Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind |
| 2024 | ICML | Swallowing the Bitter Pill: Simplified Scalable Conformer Generation. | Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel ngel Bautista |
| 2023 | ICLR | MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. | Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind |
| 2023 | ICLR | f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. | Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel ngel Bautista, Joshua M. Susskind |
| 2023 | ICLR | Diffusion Probabilistic Fields. | Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel ngel Bautista |
| 2023 | ICML | NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion. | Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi |
| 2023 | ICML | Stabilizing Transformer Training by Preventing Attention Entropy Collapse. | Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind |
| 2022 | ICLR | Learning Representation from Neural Fisher Kernel with Low-rank Approximation. | Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind |
| 2022 | ICML | Efficient Representation Learning via Adaptive Context Pooling. | Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind |
| 2022 | ICML | Position Prediction as an Effective Pretraining Strategy. | Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind |
| 2022 | NAACL | Regularized Training of Nearest Neighbor Language Models. | Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind |
| 2022 | WACV | Fast and Explicit Neural View Synthesis. | Pengsheng Guo, Miguel ngel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan |
| 2021 | ICCV | Unconstrained Scene Generation with Locally Conditioned Radiance Fields. | Terrance DeVries, Miguel ngel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind |
| 2021 | ICCV | Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding. | Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel ngel Bautista, Nathan Paczan, Russ Webb, Joshua M. Susskind |
| 2021 | ICML | Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. | Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh |
| 2021 | WACV | On the generalization of learning-based 3D reconstruction. | Miguel ngel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind |
| 2019 | ICML | Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. | Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel ngel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind |
| 2012 | ECCV | Emotion Mirror: A Novel Intervention for Autism Based on Real-Time Expression Recognition. | David M. Deriso, Joshua M. Susskind, Lauren Krieger, Marian Stewart Bartlett |
| 2012 | ECCV | Exploring the Facial Expression Perception-Production Link Using Real-Time Automated Facial Expression Recognition. | David M. Deriso, Joshua M. Susskind, Jim Tanaka, Piotr Winkielman, John D. Herrington, Robert T. Schultz, Marian Stewart Bartlett |
| 2012 | ECCV | Exploring Bag of Words Architectures in the Facial Expression Domain. | Karan Sikka, Tingfan Wu, Joshua M. Susskind, Marian Stewart Bartlett |
| 2011 | CVPR | On deep generative models with applications to recognition. | Marc'Aurelio Ranzato, Joshua M. Susskind, Volodymyr Mnih, Geoffrey E. Hinton |
| 2011 | CVPR | Modeling the joint density of two images under a variety of transformations. | Joshua M. Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys |
| 2008 | ICANN | Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. | Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton |
| 2004 | CVPR | Dynamics of Facial Expression Extracted Automatically from Video. | Gwen Littlewort, Marian Stewart Bartlett, Ian R. Fasel, Joshua M. Susskind, Javier R. Movellan |