Josh M. Susskind

34 papers A* 2Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adapting Self-Supervised Representations as a Latent Space for Efficient Generation. CoRR Ming Gui, Johannes Schusterbauer, Timy Phan, Felix Krause, Josh M. Susskind, Miguel Ángel Bautista, Björn Ommer
2025	J	`jnl`	Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers. CoRR Xianhang Li, Chen Huang, Chun-Liang Li, Eran Malach, Josh M. Susskind, Vimal Thilak, Etai Littwin
2025	J	`jnl`	STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis. CoRR Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Ángel Bautista, Josh M. Susskind, Shuangfei Zhai
2025	J	`jnl`	TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics. CoRR Tianrong Chen, Huangjie Zheng, David Berthelot, Jiatao Gu, Josh M. Susskind, Shuangfei Zhai
2024	J	`jnl`	Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. CoRR Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh M. Susskind
2024	—	`conf`	Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images. 3DV Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind
2024	J	`jnl`	DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation. CoRR Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Josh M. Susskind, Shuangfei Zhai
2024	J	`jnl`	How Far Are We from Intelligent Visual Deductive Reasoning? CoRR Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
2024	J	`jnl`	Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
2024	J	`jnl`	Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. CoRR Yuhang Zang, Hanlin Goh, Josh M. Susskind, Chen Huang
2024	J	`jnl`	TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models. CoRR Georgia Gabriela Sampaio, Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Josh M. Susskind, Navdeep Jaitly, Yizhe Zhang
2023	J	`jnl`	Adaptivity and Modularity for Efficient Generalization Over Task Complexity. CoRR Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio
2023	J	`jnl`	BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping. CoRR Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh M. Susskind
2023	J	`jnl`	Boolformer: Symbolic Regression of Logic Functions with Transformers. CoRR Stéphane d'Ascoli, Samy Bengio, Josh M. Susskind, Emmanuel Abbe
2023	J	`jnl`	Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. CoRR 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
2023	J	`jnl`	Generative Modeling with Phase Stochastic Bridges. CoRR Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Josh M. Susskind, Shuangfei Zhai
2023	J	`jnl`	Learning Controllable 3D Diffusion Models from Single-view Images. CoRR Jiatao Gu, Qingzhe Gao, Shuangfei Zhai, Baoquan Chen, Lingjie Liu, Josh M. Susskind
2023	J	`jnl`	MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. CoRR Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind
2023	J	`jnl`	Matryoshka Diffusion Models. CoRR Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh M. Susskind, Navdeep Jaitly
2023	J	`jnl`	NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion. CoRR Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
2023	J	`jnl`	PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. CoRR Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
2023	J	`jnl`	What Algorithms can Transformers Learn? A Study in Length Generalization. CoRR Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Josh M. Susskind, Samy Bengio, Preetum Nakkiran
2022	J	`jnl`	Efficient Representation Learning via Adaptive Context Pooling. CoRR Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind
2022	J	`jnl`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR 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
2022	J	`jnl`	Learning Representation from Neural Fisher Kernel with Low-rank Approximation. CoRR Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind
2022	J	`jnl`	f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. CoRR Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Josh M. Susskind
2021	J	`jnl`	An Attention Free Transformer. CoRR Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
2021	A*	`conf`	MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. CVPR Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
2021	J	`jnl`	MetricOpt: Learning to Optimize Black-Box Evaluation Metrics. CoRR Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
2021	J	`jnl`	Regularized Training of Nearest Neighbor Language Models. CoRR Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh M. Susskind
2021	J	`jnl`	Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind
2020	A*	`conf`	Equivariant Neural Rendering. ICML Emilien Dupont, Miguel Bautista Martin, Alex Colburn, Aditya Sankar, Josh M. Susskind, Qi Shan
2020	J	`jnl`	Equivariant Neural Rendering. CoRR Emilien Dupont, Miguel Ángel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan
2020	J	`jnl`	Set Distribution Networks: a Generative Model for Sets of Images. CoRR Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Carlos Guestrin, Josh M. Susskind