Hadas Kress-Gazit
Artificial Intelligence · 2009–2020
A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #17,961 of 35,345 by trust here, #16,166 by citations
- Natural Language Processing — 50 citations into it; #4,891 of 5,688 by trust here, #3,826 by citations
- Computer Vision and Pattern Recognition — 42 citations into it; #10,963 of 21,575 by trust here, #10,010 by citations
- Computational Theory and Mathematics — 18 citations into it; #7,928 of 12,182 by trust here, #5,954 by citations
- Control and Systems Engineering — 16 citations into it
- Robotics & Control — 9 citations into it
- Aerospace Engineering — 8 citations into it
- LLM Agents & Tool Use — 6 citations into it
Whom Hadas Kress-Gazit trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marius Kloetzer
- George Pappas
- Calin A. Belta
- Paulo Tabuada
- Georgios Fainekos
- Rajeev Alur
- Steven M. LaValle
- Antoine Girard
- Edmund M. Clarke
- Emilio Frazzoli
Who trusts Hadas Kress-Gazit overall
- Lars Lindemann
- Kai Weng Wong
- Murray Campbell
- Dorsa Sadigh
- Dimos V. Dimarogonas
- Magnus Egerstedt
- Ashish Kapoor
- Sahisnu Mazumder
- Moritz Tenorth
Papers from Hadas Kress-Gazit's perspective
Ordered by how strongly the researchers Hadas Kress-Gazit trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Efficient Estimation of Word Representations in Vector Space
Their papers
- Robots That Use Language (2020) — 312 citations
- Temporal-Logic-Based Reactive Mission and Motion Planning (2009) — 829 citations
- Temporal logic motion planning for dynamic robots (2009) — 493 citations
- Let's talk: Autonomous conflict resolution for robots carrying out individual high-level tasks in a shared workspace (2015) — 17 citations