Maryam Tavakol

21 papers A* 3A 2B 2Misc 1Journal 4Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Cross-Domain Generalization with Reverse Dynamics Models in Offline Model-Based Reinforcement Learning. ICAART (2) Yana Stoyanova, Maryam Tavakol
2025	—	`conf`	Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. AICAS Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang
2025	J	`jnl`	Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing. CoRR Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang
2024	—	`conf`	Model-Based Meta-reinforcement Learning for Hyperparameter Optimization. IDEAL (1) Jeroen Albrechts, Hugo M. Martin, Maryam Tavakol
2023	—	`conf`	FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers. NLDL Mathijs Boezer, Maryam Tavakol, Zahra Sajadi
2023	A*	`conf`	Toward Robust Uncertainty Estimation with Random Activation Functions. AAAI Yana Stoyanova, Soroush Ghandi, Maryam Tavakol
2023	J	`jnl`	Toward Robust Uncertainty Estimation with Random Activation Functions. CoRR Yana Stoyanova, Soroush Ghandi, Maryam Tavakol
2022	B	`conf`	MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation. IDA Huiyao Wu, Maryam Tavakol
2022	J	`jnl`	Survey on Fair Reinforcement Learning: Theory and Practice. CoRR Pratik Gajane, Akrati Saxena, Maryam Tavakol, George Fletcher, Mykola Pechenizkiy
2021	A*	`conf`	An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting. ICDE Amal Saadallah, Maryam Tavakol, Katharina Morik
2020	A	`conf`	Distantly Supervised Question Parsing. ECAI Hamid Zafar, Maryam Tavakol, Jens Lehmann
2020	A*	`conf`	Fair Classification with Counterfactual Learning. SIGIR Maryam Tavakol
2019	—	`—`	Contextual Models for Sequential Recommendation. Maryam Tavakol
2019	—	`conf`	HyperUCB: Hyperparameter Optimization Using Contextual Bandits. PKDD/ECML Workshops (1) Maryam Tavakol, Sebastian Mair, Katharina Morik
2019	J	`jnl`	MDP-based Shallow Parsing in Distantly Supervised QA Systems. CoRR Hamid Zafar, Maryam Tavakol, Jens Lehmann
2019	Misc	`conf`	Personalized Transaction Kernels for Recommendation Using MCTS. KI Maryam Tavakol, Tobias Joppen, Ulf Brefeld, Johannes Fürnkranz
2018	B	`conf`	MDP-based Itinerary Recommendation using Geo-Tagged Social Media. IDA Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld
2017	—	`conf`	A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations. ECML/PKDD (2) Maryam Tavakol, Ulf Brefeld
2016	—	`conf`	Feature Extraction and Aggregation for Predicting the EURO 2016. MLSA@PKDD/ECML Maryam Tavakol, Hamid Zafartavanaelmi, Ulf Brefeld
2014	A	`conf`	Factored MDPs for detecting topics of user sessions. RecSys Maryam Tavakol, Ulf Brefeld
2012	—	`conf`	A Distributed Q-Learning Approach for Variable Attention to Multiple Critics. ICONIP (3) Maryam Tavakol, Majid Nili Ahmadabadi, Maryam S. Mirian, Masoud Asadpour