Uriel Singer

According to our database, Uriel Singer authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning.

Dan Kalifa, Uriel Singer, Kira Radinsky

CoRR, 2024

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models.

Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

D-Flow: Differentiating through Flows for Controlled Generation.

Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Video Editing via Factorized Diffusion Distillation.

Uriel Singer, Amit Zohar, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Devi Parikh, Yaniv Taigman

Proceedings of the Computer Vision - ECCV 2024, 2024

Emu Edit: Precise Image Editing via Recognition and Generation Tasks.

Shelly Sheynin, Adam Polyak, Uriel Singer, Yuval Kirstain, Amit Zohar, Oron Ashual, Devi Parikh, Yaniv Taigman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

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

CoRR, 2023

Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation.

Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, Omer Levy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Text-To-4D Dynamic Scene Generation.

Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman

Proceedings of the International Conference on Machine Learning, 2023

Make-A-Video: Text-to-Video Generation without Text-Video Data.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

kNN-Diffusion: Image Generation via Large-Scale Retrieval.

Shelly Sheynin, Oron Ashual, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

AudioGen: Textually Guided Audio Generation.

Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CFOM: Lead Optimization For Drug Discovery With Limited Data.

Natan Kaminsky, Uriel Singer, Kira Radinsky

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GraphERT- Transformers-based Temporal Dynamic Graph Embedding.

Moran Beladev, Gilad Katz, Lior Rokach, Uriel Singer, Kira Radinsky

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Temporal Graph Embedding with Fairness.

Uriel Singer

PhD thesis, 2022

Learning to Diversify for Product Question Generation.

Haggai Roitman, Uriel Singer, Yotam Eshel, Alexander Nus, Eliyahu Kiperwasser

CoRR, 2022

tBDFS: Temporal Graph Neural Network Leveraging DFS.

Uriel Singer, Haggai Roitman, Ido Guy, Kira Radinsky

CoRR, 2022

Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce.

Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly.

Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction.

Roy Benjamin, Uriel Singer, Kira Radinsky

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

EqGNN: Equalized Node Opportunity in Graphs.

Uriel Singer, Kira Radinsky

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Topo2vec: Topography Embedding Using the Fractal Effect.

Jonathan Kavitzky, Jonathan Zarecki, Idan Brusilovsky, Uriel Singer

CoRR, 2021

On biases of attention in scientific discovery.

Uriel Singer, Kira Radinsky, Eric Horvitz

Bioinform., 2021

2019

Node Embedding over Temporal Graphs.

Uriel Singer, Ido Guy, Kira Radinsky

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019