Haitham Bou-Ammar

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2011–2025

Best venue rank

Where they publish

Papers

28 indexed papers, newest first.

Year	Venue	Title	Authors
2025	EMNLP	SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks.	Fenia Christopoulou, Ronald Cardenas, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2025	ICLR	Human-inspired Episodic Memory for Infinite Context LLMs.	Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2025	ICLR	Efficient Reinforcement Learning with Large Language Model Priors.	Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang
2025	ICLR	Mixture of Attentions For Speculative Decoding.	Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang
2024	ICML	Measures of diversity and space-filling designs for categorical data.	Cdric Malherbe, Emilio Domnguez-Snchez, Merwan Barlier, Igor Colin, Haitham Bou-Ammar, Tom Diethe
2023	DAC	Lightweight Structural Choices Operator for Technology Mapping.	Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar
2023	ICML	Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?	Juliusz Krysztof Ziomek, Haitham Bou-Ammar
2023	ICRA	Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions.	Desong Du, Shaohang Han, Naiming Qi, Haitham Bou-Ammar, Jun Wang, Wei Pan
2022	DATE	BOiLS: Bayesian Optimisation for Logic Synthesis.	Antoine Grosnit, Cdric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
2022	ICLR	Reinforcement Learning in Presence of Discrete Markovian Context Evolution.	Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
2021	CoRL	Robot Reinforcement Learning on the Constraint Manifold.	Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
2021	IROS	Efficient and Reactive Planning for High Speed Robot Air Hockey.	Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
2020	AAAI	Learning to Communicate Implicitly by Actions.	Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang
2018	IJCAI	Balancing Two-Player Stochastic Games with Soft Q-Learning.	Jordi Grau-Moya, Felix Leibfried, Haitham Bou-Ammar
2017	AAAI	Scalable Multitask Policy Gradient Reinforcement Learning.	Salam El Bsat, Haitham Bou-Ammar, Matthew E. Taylor
2016	IJCAI	Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer.	Yusen Zhan, Haitham Bou-Ammar, Matthew E. Taylor
2015	AAAI	Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment.	Haitham Bou-Ammar, Eric Eaton, Paul Ruvolo, Matthew E. Taylor
2015	ICML	Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret.	Haitham Bou-Ammar, Rasul Tutunov, Eric Eaton
2015	IJCAI	Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning.	Haitham Bou-Ammar, Eric Eaton, Jos-Marcio Luna, Paul Ruvolo
2015	IM	Reduced reference image quality assessment via Boltzmann Machines.	Decebal Constantin Mocanu, Georgios Exarchakos, Haitham Bou-Ammar, Antonio Liotta
2014	AAAI	Theory of Cooperation in Complex Social Networks.	Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss
2014	AAAI	Online Multi-Task Gradient Temporal-Difference Learning.	Vishnu Purushothaman Sreenivasan, Haitham Bou-Ammar, Eric Eaton
2014	ECAI	Influencing Social Networks: An Optimal Control Study.	Daan Bloembergen, Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss
2014	ICML	Online Multi-Task Learning for Policy Gradient Methods.	Haitham Bou-Ammar, Eric Eaton, Paul Ruvolo, Matthew E. Taylor
2014	SMC	Inexpensive user tracking using Boltzmann Machines.	Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov
2013	IJCAI	Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains.	Siqi Chen, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss
2012	AAMAS	Reinforcement learning transfer via sparse coding.	Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss
2011	EUMAS	Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping.	Haitham Bou-Ammar, Matthew E. Taylor, Karl Tuyls, Gerhard Weiss