Joshua M. Susskind

96 papers A* 43A 2Journal 48Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Coupling Within: Flow Matching via Distilled Normalizing Flows. CoRR David Berthelot, Tianrong Chen, Jiatao Gu, Marco Cuturi, Laurent Dinh, Bhavik Chandna, Michal Klein, Joshua M. Susskind, Shuangfei Zhai
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	A*	`conf`	Denoising Autoregressive Transformers for Scalable Text-to-Image Generation. ICLR Jiatao Gu, Yuyang Wang, Yizhe Zhang, Qihang Zhang, Dinghuai Zhang, Navdeep Jaitly, Joshua M. Susskind, Shuangfei Zhai
2025	J	`jnl`	Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows. CoRR Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly
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`	INRFlow: Flow Matching for INRs in Ambient Space. ICML Yuyang Wang, Anurag Ranjan, Joshua M. Susskind, Miguel Ángel Bautista
2025	J	`jnl`	Improving GFlowNets for Text-to-Image Diffusion Alignment. Trans. Mach. Learn. Res. Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai
2025	A*	`conf`	Mechanisms of Projective Composition of Diffusion Models. ICML Arwen Bradley, Preetum Nakkiran, David Berthelot, James Thornton, Joshua M. Susskind
2025	J	`jnl`	Mechanisms of Projective Composition of Diffusion Models. CoRR Arwen Bradley, Preetum Nakkiran, David Berthelot, James Thornton, Joshua M. Susskind
2025	A*	`conf`	Multimodal Autoregressive Pre-training of Large Vision Encoders. CVPR Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor G. Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby
2025	A*	`conf`	Normalizing Flows are Capable Generative Models. ICML Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
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	A*	`conf`	Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. ICML Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025	J	`jnl`	Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. CoRR Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025	J	`jnl`	STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows. CoRR Jiatao Gu, Ying Shen, Tianrong Chen, Laurent Dinh, Yuyang Wang, Miguel Ángel Bautista, David Berthelot, Joshua M. Susskind, Shuangfei Zhai
2025	J	`jnl`	Scaling Laws for Native Multimodal Models. CoRR Mustafa Shukor, Enrico Fini, Victor Guilherme Turrisi da Costa, Matthieu Cord, Joshua M. Susskind, Alaaeldin El-Nouby
2025	J	`jnl`	SimpleFold: Folding Proteins is Simpler than You Think. CoRR Yuyang Wang, Jiarui Lu, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista
2025	A*	`conf`	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. ICML Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2025	J	`jnl`	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. CoRR Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2025	J	`jnl`	To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models. CoRR Eran Malach, Omid Saremi, Sinead Williamson, Arwen Bradley, Aryo Lotfi, Emmanuel Abbe, Joshua M. Susskind, Etai Littwin
2025	A*	`conf`	World-consistent Video Diffusion with Explicit 3D Modeling. CVPR Qihang Zhang, Shuangfei Zhai, Miguel Ángel Bautista Martin, Kevin Miao, Alexander Toshev, Joshua M. Susskind, Jiatao Gu
2024	J	`jnl`	3D Shape Tokenization. CoRR Jen-Hao Rick Chang, Yuyang Wang, Miguel Ángel Bautista, Jiatao Gu, Joshua M. Susskind, Oncel Tuzel
2024	A*	`conf`	Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. NeurIPS Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Joshua M. Susskind
2024	J	`jnl`	CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models. CoRR Nick Stracke, Stefan Andreas Baumann, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer
2024	—	`conf`	Construction of Paired Knowledge Graph - Text Datasets Informed by Cyclic Evaluation. LREC/COLING 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	J	`jnl`	Coordinate In and Value Out: Training Flow Transformers in Ambient Space. CoRR Yuyang Wang, Anurag Ranjan, Joshua M. Susskind, Miguel Ángel Bautista
2024	A*	`conf`	Data-free Distillation of Diffusion Models with Bootstrapping. ICML Jiatao Gu, Chen Wang, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind
2024	A*	`conf`	Generative Modeling with Phase Stochastic Bridge. ICLR Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua M. Susskind, Shuangfei Zhai
2024	A*	`conf`	How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks. NeurIPS Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind
2024	J	`jnl`	How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks. CoRR Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind
2024	A*	`conf`	Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. NeurIPS Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
2024	J	`jnl`	Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling. CoRR Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind
2024	A*	`conf`	LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. ICLR Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2024	A*	`conf`	Manifold Diffusion Fields. ICLR Ahmed A. A. Elhag, Yuyang Wang, Joshua M. Susskind, Miguel Ángel Bautista
2024	J	`jnl`	Many-to-many Image Generation with Auto-regressive Diffusion Models. CoRR Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu
2024	A*	`conf`	Matryoshka Diffusion Models. ICLR Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Joshua M. Susskind, Navdeep Jaitly
2024	J	`jnl`	Multimodal Autoregressive Pre-training of Large Vision Encoders. CoRR Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor Guilherme Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander T. Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby
2024	J	`jnl`	Normalizing Flows are Capable Generative Models. CoRR Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
2024	A*	`conf`	Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. ICLR Yuhang Zang, Hanlin Goh, Joshua M. Susskind, Chen Huang
2024	A*	`conf`	Pseudo-Generalized Dynamic View Synthesis from a Video. ICLR Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing
2024	A*	`conf`	Scalable Pre-training of Large Autoregressive Image Models. ICML Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Vaishaal Shankar, Alexander T. Toshev, Joshua M. Susskind, Armand Joulin
2024	J	`jnl`	Scalable Pre-training of Large Autoregressive Image Models. CoRR Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin
2024	A*	`conf`	Swallowing the Bitter Pill: Simplified Scalable Conformer Generation. ICML Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista
2024	J	`jnl`	The Slingshot Effect: A Late-Stage Optimization Anomaly in Adaptive Gradient Methods. Trans. Mach. Learn. Res. Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind
2024	A*	`conf`	Vanishing Gradients in Reinforcement Finetuning of Language Models. ICLR Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2024	A*	`conf`	What Algorithms can Transformers Learn? A Study in Length Generalization. ICLR Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua M. Susskind, Samy Bengio, Preetum Nakkiran
2024	A*	`conf`	When can transformers reason with abstract symbols? ICLR Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe, Samy Bengio, Etai Littwin, Joshua M. Susskind
2024	J	`jnl`	World-consistent Video Diffusion with Explicit 3D Modeling. CoRR Qihang Zhang, Shuangfei Zhai, Miguel Ángel Bautista, Kevin Miao, Alexander Toshev, Joshua M. Susskind, Jiatao Gu
2023	A*	`conf`	Diffusion Probabilistic Fields. ICLR Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
2023	J	`jnl`	Diffusion Probabilistic Fields. CoRR Peiye Zhuang, Samira Abnar, Jiatao Gu, Alexander G. Schwing, Joshua M. Susskind, Miguel Ángel Bautista
2023	J	`jnl`	Generating Molecular Conformer Fields. CoRR Yuyang Wang, Ahmed A. A. Elhag, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista
2023	J	`jnl`	Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today? CoRR Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing
2023	J	`jnl`	LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. CoRR Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2023	A*	`conf`	MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. ICLR Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind
2023	J	`jnl`	Manifold Diffusion Fields. CoRR Ahmed A. A. Elhag, Joshua M. Susskind, Miguel Ángel Bautista
2023	A*	`conf`	NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion. ICML Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
2023	A*	`conf`	PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model. NeurIPS Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly
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`	Transformers learn through gradual rank increase. NeurIPS Emmanuel Abbe, Samy Bengio, Enric Boix-Adserà, Etai Littwin, Joshua M. Susskind
2023	J	`jnl`	Transformers learn through gradual rank increase. CoRR Enric Boix-Adserà, Etai Littwin, Emmanuel Abbe, Samy Bengio, Joshua M. Susskind
2023	J	`jnl`	Value function estimation using conditional diffusion models for control. CoRR Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind
2023	J	`jnl`	Vanishing Gradients in Reinforcement Finetuning of Language Models. CoRR Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2023	J	`jnl`	When can transformers reason with abstract symbols? CoRR Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe, Samy Bengio, Etai Littwin, Joshua M. Susskind
2023	A*	`conf`	f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation. ICLR Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind
2022	J	`jnl`	Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation. CoRR Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind
2022	A*	`conf`	Efficient Representation Learning via Adaptive Context Pooling. ICML Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind
2022	A	`conf`	Fast and Explicit Neural View Synthesis. WACV Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan
2022	A*	`conf`	GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind
2022	A*	`conf`	Learning Representation from Neural Fisher Kernel with Low-rank Approximation. ICLR Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind
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	—	`conf`	Regularized Training of Nearest Neighbor Language Models. NAACL-HLT (Student Research Workshop) Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind
2022	J	`jnl`	The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon. CoRR Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind
2021	J	`jnl`	Fast and Explicit Neural View Synthesis. CoRR Pengsheng Guo, Miguel Ángel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan
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	J	`jnl`	Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang
2021	J	`jnl`	Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks. CoRR Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind
2021	A	`conf`	On the generalization of learning-based 3D reconstruction. WACV Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
2021	A*	`conf`	Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. ICML Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
2021	J	`jnl`	Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
2021	A*	`conf`	Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
2021	J	`jnl`	Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
2020	A*	`conf`	Collegial Ensembles. NeurIPS Etai Littwin, Ben Myara, Sima Sabah, Joshua M. Susskind, Shuangfei Zhai, Oren Golan
2020	J	`jnl`	Collegial Ensembles. CoRR Etai Littwin, Ben Myara, Sima Sabah, Joshua M. Susskind, Shuangfei Zhai, Oren Golan
2020	J	`jnl`	On the generalization of learning-based 3D reconstruction. CoRR Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
2019	A*	`conf`	Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. ICML Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019	J	`jnl`	Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. CoRR Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019	A*	`conf`	Adversarial Fisher Vectors for Unsupervised Representation Learning. NeurIPS Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
2019	J	`jnl`	Adversarial Fisher Vectors for Unsupervised Representation Learning. CoRR Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua M. Susskind
2019	J	`jnl`	Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking. CoRR Alaaeldin El-Nouby, Shuangfei Zhai, Graham W. Taylor, Joshua M. Susskind
2013	J	`jnl`	Modeling Natural Images Using Gated MRFs. IEEE Trans. Pattern Anal. Mach. Intell. Marc'Aurelio Ranzato, Volodymyr Mnih, Joshua M. Susskind, Geoffrey E. Hinton
2011	A*	`conf`	Modeling the joint density of two images under a variety of transformations. CVPR Joshua M. Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys
2011	A*	`conf`	On deep generative models with applications to recognition. CVPR Marc'Aurelio Ranzato, Joshua M. Susskind, Volodymyr Mnih, Geoffrey E. Hinton
2008	—	`conf`	Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. ICANN (1) Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton