Horesh, Lior

13 publications

AISTATS 2024 Asynchronous Randomized Trace Estimation Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu, Georgios Kollias, Lior Horesh

ICLR 2024 Topological Data Analysis on Noisy Quantum Computers Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh

IJCAI 2023 Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli

NeurIPSW 2023 Plansformer: Generating Symbolic Plans Using Transformers Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia

NeurIPS 2022 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong

UAI 2022 Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu

ECML-PKDD 2022 Overcoming Catastrophic Forgetting via Direction-Constrained Optimization Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh

ICML 2022 Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra Nadiia Chepurko, Kenneth Clarkson, Lior Horesh, Honghao Lin, David Woodruff

AAAI 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh

ICML 2021 Projection Techniques to Update the Truncated SVD of Evolving Matrices with Applications Vasileios Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth Clarkson

AAAI 2021 Thinking Fast and Slow in AI Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava

ICLR 2020 Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs Osman Asif Malik, Shashanka Ubaru, Lior Horesh, Misha E. Kilmer, Haim Avron

ICML 2015 Community Detection Using Time-Dependent Personalized PageRank Haim Avron, Lior Horesh