Josh M. Susskind

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Distribution Networks

Repetitive Patterns

Diffusion Models

Top Venues

Publications

Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR (2024)
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind
Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images. 3DV (2024)
Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
How Far Are We from Intelligent Visual Deductive Reasoning? CoRR (2024)
Yuhang Zang, Hanlin Goh, Josh M. Susskind, Chen Huang
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. CoRR (2024)
Stéphane d'Ascoli, Samy Bengio, Josh M. Susskind, Emmanuel Abbe
Boolformer: Symbolic Regression of Logic Functions with Transformers. CoRR (2023)
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion. CoRR (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly
Matryoshka Diffusion Models. CoRR (2023)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh M. Susskind
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping. CoRR (2023)
Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. CoRR (2023)
Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. CoRR (2023)
Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Josh M. Susskind, Samy Bengio, Preetum Nakkiran
What Algorithms can Transformers Learn? A Study in Length Generalization. CoRR (2023)
Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio
Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR (2023)
Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Josh M. Susskind, Shuangfei Zhai
Generative Modeling with Phase Stochastic Bridges. CoRR (2023)
Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind
Learning Controllable 3D Diffusion Models from Single-view Images. CoRR (2023)
Ali Mousavi, Xin Zhan, He Bai, Peng Shi, Theodoros Rekatsinas, Benjamin Han, Yunyao Li, Jeffrey Pound, Josh M. Susskind, Natalie Schluter, Ihab F. Ilyas, Navdeep Jaitly
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR (2023)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR (2022)
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. CoRR (2022)
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Josh M. Susskind
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. CoRR (2022)
Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind
Efficient Representation Learning via Adaptive Context Pooling. CoRR (2022)
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
An Attention Free Transformer. CoRR (2021)
Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics. CoRR (2021)
Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. CVPR (2021)
Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR (2021)
Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh M. Susskind
Regularized Training of Nearest Neighbor Language Models. CoRR (2021)
Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind
Set Distribution Networks: a Generative Model for Sets of Images. CoRR (2020)
Emilien Dupont, Miguel Ángel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan
Equivariant Neural Rendering. CoRR (2020)
Emilien Dupont, Miguel Bautista Martin, Alex Colburn, Aditya Sankar, Josh M. Susskind, Qi Shan
Equivariant Neural Rendering. ICML (2020)