Uriel Singer - RankMe

45 papers A* 11A 7Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Corgi: Cached Memory Guided Video Generation. WACV Xindi Wu, Uriel Singer, Zhaojiang Lin, Andrea Madotto, Xide Xia, Yifan Xu, Paul A. Crook, Xin Luna Dong, Seungwhan Moon
2025	J	`jnl`	Corrector Sampling in Language Models. CoRR Itai Gat, Neta Shaul, Uriel Singer, Yaron Lipman
2025	J	`jnl`	Exploring the Design Space of Transition Matching. CoRR Uriel Singer, Yaron Lipman
2025	J	`jnl`	FusionProt: Fusing Sequence and Structural Information for Unified Protein Representation Learning. Trans. Mach. Learn. Res. Dan Kalifa, Uriel Singer, Kira Radinsky
2025	J	`jnl`	GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models. CoRR Peter Holderrieth, Uriel Singer, Tommi S. Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer
2025	A	`conf`	GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning. CIKM Dan Kalifa, Uriel Singer, Kira Radinsky
2025	J	`jnl`	Transition Matching: Scalable and Flexible Generative Modeling. CoRR Neta Shaul, Uriel Singer, Itai Gat, Yaron Lipman
2025	A*	`conf`	VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models. ICML Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin
2025	J	`jnl`	VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models. CoRR Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin
2024	A*	`conf`	Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. ICML Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman
2024	J	`jnl`	Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. CoRR Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman
2024	A*	`conf`	D-Flow: Differentiating through Flows for Controlled Generation. ICML Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
2024	J	`jnl`	D-Flow: Differentiating through Flows for Controlled Generation. CoRR Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
2024	A*	`conf`	Emu Edit: Precise Image Editing via Recognition and Generation Tasks. CVPR Shelly Sheynin, Adam Polyak, Uriel Singer, Yuval Kirstain, Amit Zohar, Oron Ashual, Devi Parikh, Yaniv Taigman
2024	J	`jnl`	GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning. CoRR Dan Kalifa, Uriel Singer, Kira Radinsky
2024	J	`jnl`	Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. CoRR Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky
2024	—	`conf`	Video Editing via Factorized Diffusion Distillation. ECCV (76) Uriel Singer, Amit Zohar, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Devi Parikh, Yaniv Taigman
2024	J	`jnl`	Video Editing via Factorized Diffusion Distillation. CoRR Uriel Singer, Amit Zohar, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Devi Parikh, Yaniv Taigman
2023	A*	`conf`	AudioGen: Textually Guided Audio Generation. ICLR Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi
2023	A	`conf`	CFOM: Lead Optimization For Drug Discovery With Limited Data. CIKM Natan Kaminsky, Uriel Singer, Kira Radinsky
2023	J	`jnl`	Emu Edit: Precise Image Editing via Recognition and Generation Tasks. CoRR Shelly Sheynin, Adam Polyak, Uriel Singer, Yuval Kirstain, Amit Zohar, Oron Ashual, Devi Parikh, Yaniv Taigman
2023	A	`conf`	GraphERT- Transformers-based Temporal Dynamic Graph Embedding. CIKM Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky
2023	A*	`conf`	Make-A-Video: Text-to-Video Generation without Text-Video Data. ICLR Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman
2023	A*	`conf`	Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation. NeurIPS Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, Omer Levy
2023	J	`jnl`	Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation. CoRR Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, Omer Levy
2023	J	`jnl`	Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan
2023	A*	`conf`	Text-To-4D Dynamic Scene Generation. ICML Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
2023	J	`jnl`	Text-To-4D Dynamic Scene Generation. CoRR Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman
2023	A*	`conf`	kNN-Diffusion: Image Generation via Large-Scale Retrieval. ICLR Shelly Sheynin, Oron Ashual, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman
2022	J	`jnl`	AudioGen: Textually Guided Audio Generation. CoRR Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi
2022	A*	`conf`	EqGNN: Equalized Node Opportunity in Graphs. AAAI Uriel Singer, Kira Radinsky
2022	A	`conf`	Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction. CIKM Roy Benjamin, Uriel Singer, Kira Radinsky
2022	J	`jnl`	KNN-Diffusion: Image Generation via Large-Scale Retrieval. CoRR Oron Ashual, Shelly Sheynin, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman
2022	J	`jnl`	Learning to Diversify for Product Question Generation. CoRR Haggai Roitman, Uriel Singer, Yotam Eshel, Alexander Nus, Eliyahu Kiperwasser
2022	A	`conf`	Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. WSDM Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky
2022	J	`jnl`	Make-A-Video: Text-to-Video Generation without Text-Video Data. CoRR Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman
2022	A	`conf`	Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce. WSDM Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser
2022	—	`—`	Temporal Graph Embedding with Fairness. Uriel Singer
2022	J	`jnl`	tBDFS: Temporal Graph Neural Network Leveraging DFS. CoRR Uriel Singer, Haggai Roitman, Ido Guy, Kira Radinsky
2021	J	`jnl`	EqGNN: Equalized Node Opportunity in Graphs. CoRR Uriel Singer, Kira Radinsky
2021	J	`jnl`	On biases of attention in scientific discovery. Bioinform. Uriel Singer, Kira Radinsky, Eric Horvitz
2021	J	`jnl`	Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce. CoRR Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser
2021	J	`jnl`	Topo2vec: Topography Embedding Using the Fractal Effect. CoRR Jonathan Kavitzky, Jonathan Zarecki, Idan Brusilovsky, Uriel Singer
2019	A*	`conf`	Node Embedding over Temporal Graphs. IJCAI Uriel Singer, Ido Guy, Kira Radinsky
2019	J	`jnl`	Node Embedding over Temporal Graphs. CoRR Uriel Singer, Ido Guy, Kira Radinsky