Global Path Planning for Autonomous Qualitative Navigation. - Nikos A. Vlassis; Nikitas M. Sgouros; G. Efthivoulidis; George K. Papakonstantinou; Panayotis Tsanakas (ICTAI, 1996)

An experiment for truly parallel logic programming. - George K. Efthivoulidis; Nikos Vlassis; Panayotis Tsanakas; George K. Papakonstantinou (J. Intell. Robotic Syst., 1996)

The Probabilistic Growing Cell Structures Algorithm. - Nikos A. Vlassis; Apostolos Dimopoulos; George K. Papakonstantinou (ICANN, 1997)

A vector quantization schema for non-stationary signal distributions based on ML estimation of mixture densities. - Nikos A. Vlassis; Konstantinos Blekas; George K. Papakonstantinou; Andreas Stafylopatis (EUSIPCO, 1998)

A Sensory Uncertainty Field Model for Unknown and Non-Stationary Mobile Robot Environments. - Nikos A. Vlassis; Panayotis Tsanakas (ICRA, 1998)

Dynamic sensory probabilistic maps for mobile robot localization. - Nikos A. Vlassis; George K. Papakonstantinou; Panayotis Tsanakas (IROS, 1998)

Robot environment modeling via principal component regression. - Nikos Vlassis; Ben J. A. Kröse (IROS, 1999)

Mixture Density Estimation Based on Maximum Likelihood and Sequential Test Statistics. - Nikos A. Vlassis; George K. Papakonstantinou; Panayotis Tsanakas (Neural Process. Lett., 1999)

A kurtosis-based dynamic approach to Gaussian mixture modeling. - Nikos Vlassis; Aristidis Likas (IEEE Trans. Syst. Man Cybern. Part A, 1999)

Omnidirectional Vision for Appearance-Based Robot Localization. - Ben J. A. Kröse; Nikos Vlassis; Roland Bunschoten (Sensor Based Intelligent Robots, 2000)

Supervised Linear Feature Extraction for Mobile Robot Localization. - Nikos Vlassis; Yoichi Motomura; Ben J. A. Kröse (ICRA, 2000)

A Soft k-Segments Algorithm for Principal Curves. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (ICANN, 2001)

Fast Score Function Estimation with Application in ICA. - Nikos Vlassis (ICANN, 2001)

Learning Task-relevant Features from Robot Data. - Nikos Vlassis; Roland Bunschoten; Ben J. A. Kröse (ICRA, 2001)

Edge-based Features from Omnidirectional Images for Robot Localization. - Nikos Vlassis; Yoichi Motomura; Isao Hara; Hideki Asoh (ICRA, 2001)

Jijo-2: An Office Robot that Communicates and Learns. - Hideki Asoh; Nikos Vlassis; Yoichi Motomura; Futoshi Asano; Isao Hara; Satoru Hayamizu; Katsunobu Itou; Takio Kurita; Toshihiro Matsui; Roland Bunschoten; Ben J. A. Kröse (IEEE Intell. Syst., 2001)

A probabilistic model for appearance-based robot localization. - Ben J. A. Kröse; Nikos Vlassis; Roland Bunschoten; Yoichi Motomura (Image Vis. Comput., 2001)

Efficient source adaptivity in independent component analysis. - Nikos Vlassis; Yoichi Motomura (IEEE Trans. Neural Networks, 2001)

Fast nonlinear dimensionality reduction with topology representing networks. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (ESANN, 2002)

Coordinating Principal Component Analyzers. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (ICANN, 2002)

Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations. - Nikos Vlassis; Bas Terwijn; Ben J. A. Kröse (ICRA, 2002)

Towards an Optimal Scoring Policy for Simulated Soccer Agents. - Jelle R. Kok; Remco C. de Boer; Nikos Vlassis; Frans C. A. Groen (RoboCup, 2002)

Supervised Dimension Reduction of Intrinsically Low-Dimensional Data. - Nikos Vlassis; Yoichi Motomura; Ben J. A. Kröse (Neural Comput., 2002)

A Greedy EM Algorithm for Gaussian Mixture Learning. - Nikos Vlassis; Aristidis Likas (Neural Process. Lett., 2002)

A k-segments algorithm for finding principal curves. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (Pattern Recognit. Lett., 2002)

Self-Organization by Optimizing Free-Energy. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (ESANN, 2003)

Non-linear CCA and PCA by Alignment of Local Models. - Jakob J. Verbeek; Sam T. Roweis; Nikos Vlassis (NIPS, 2003)

Efficient Greedy Learning of Gaussian Mixture Models. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (Neural Comput., 2003)

The global k-means clustering algorithm. - Aristidis Likas; Nikos Vlassis; Jakob J. Verbeek (Pattern Recognit., 2003)

Sparse cooperative Q-learning. - Jelle R. Kok; Nikos Vlassis (ICML, 2004)

A Point-based POMDP Algorithm for Robot Planning. - Matthijs T. J. Spaan; Nikos Vlassis (ICRA, 2004)

Newscast EM. - Wojtek Kowalczyk; Nikos Vlassis (NIPS, 2004)

Skin detection using the EM algorithm with spatial constraints. - Aristeidis Diplaros; Theo Gevers; Nikos Vlassis (SMC (4), 2004)

Anytime algorithms for multiagent decision making using coordination graphs. - Nikos Vlassis; Reinoud Elhorst; Jelle R. Kok (SMC (1), 2004)

Household robots look and learn: environment modeling and localization from an omnidirectional vision system. - Ben J. A. Kröse; Roland Bunschoten; Stephan ten Hagen; Bas Terwijn; Nikos Vlassis (IEEE Robotics Autom. Mag., 2004)

Coevolutionary Nash in poker games. - Frans A. Oliehoek; Nikos Vlassis; Edwin D. de Jong (BNAIC, 2005)

Robot Planning in Partially Observable Continuous Domains. - Josep M. Porta; Matthijs T. J. Spaan; Nikos Vlassis (BNAIC, 2005)

Utile Coordination: Learning Interdependencies Among Cooperative Agents. - Jelle R. Kok; Pieter Jan't Hoen; Bram Bakker; Nikos Vlassis (CIG, 2005)

Planning with Continuous Actions in Partially Observable Environments. - Matthijs T. J. Spaan; Nikos Vlassis (ICRA, 2005)

Gossip-Based Greedy Gaussian Mixture Learning. - Nikos Vlassis; Yiannis Sfakianakis; Wojtek Kowalczyk (Panhellenic Conference on Informatics, 2005)

Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs. - Jelle R. Kok; Nikos Vlassis (RoboCup, 2005)

Self-organizing mixture models. - Jakob J. Verbeek; Nikos Vlassis; Ben J. A. Kröse (Neurocomputing, 2005)

Perseus: Randomized Point-based Value Iteration for POMDPs. - Matthijs T. J. Spaan; Nikos Vlassis (J. Artif. Intell. Res., 2005)

Non-communicative multi-robot coordination in dynamic environments. - Jelle R. Kok; Matthijs T. J. Spaan; Nikos Vlassis (Robotics Auton. Syst., 2005)

Improving Approximate Value Iteration Using Memories and Predictive State Representations. - Michael R. James 001; Ton Wessling; Nikos Vlassis (AAAI, 2006)

Decentralized planning under uncertainty for teams of communicating agents. - Matthijs T. J. Spaan; Geoffrey J. Gordon; Nikos Vlassis (AAMAS, 2006)

The parallel Nash Memory for asymmetric games. - Frans A. Oliehoek; Edwin D. de Jong; Nikos Vlassis (GECCO, 2006)

An analytic solution to discrete Bayesian reinforcement learning. - Pascal Poupart; Nikos Vlassis; Jesse Hoey; Kevin Regan 001 (ICML, 2006)

Accelerated Variational Dirichlet Process Mixtures. - Kenichi Kurihara; Max Welling; Nikos Vlassis (NIPS, 2006)

Accelerated EM-based clustering of large data sets. - Jakob J. Verbeek; Jan Nunnink; Nikos Vlassis (Data Min. Knowl. Discov., 2006)

Collaborative Multiagent Reinforcement Learning by Payoff Propagation. - Jelle R. Kok; Nikos Vlassis (J. Mach. Learn. Res., 2006)

Point-Based Value Iteration for Continuous POMDPs. - Josep M. Porta; Nikos Vlassis; Matthijs T. J. Spaan; Pascal Poupart (J. Mach. Learn. Res., 2006)

Gaussian fields for semi-supervised regression and correspondence learning. - Jakob J. Verbeek; Nikos Vlassis (Pattern Recognit., 2006)

Planning under uncertainty in robotics. - Nikos Vlassis; Geoffrey J. Gordon; Joelle Pineau (Robotics Auton. Syst., 2006)

Q-value Heuristics for Approximate Solutions of Dec-POMDPs. - Frans A. Oliehoek; Nikos Vlassis (AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents, 2007)

Q-value functions for decentralized POMDPs. - Frans A. Oliehoek; Nikos Vlassis (AAMAS, 2007)

A Cross-Entropy Approach to Solving Dec-POMDPs. - Frans A. Oliehoek; Julian F. P. Kooij; Nikos Vlassis (IDC, 2007)

Distributed Decision Making for Robot Teams. - Nikos Vlassis (IDC, 2007)

A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation. - Aristeidis Diplaros; Nikos Vlassis; Theo Gevers (IEEE Trans. Neural Networks, 2007)

Multiagent Planning Under Uncertainty with Stochastic Communication Delays. - Matthijs T. J. Spaan; Frans A. Oliehoek; Nikos Vlassis (ICAPS, 2008)

Exploiting locality of interaction in factored Dec-POMDPs. - Frans A. Oliehoek; Matthijs T. J. Spaan; Shimon Whiteson; Nikos Vlassis (AAMAS (1), 2008)

Model-based Bayesian Reinforcement Learning in Partially Observable Domains. - Pascal Poupart; Nikos Vlassis (ISAIM, 2008)

Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs. - Lior Kuyer; Shimon Whiteson; Bram Bakker; Nikos Vlassis (ECML/PKDD (1), 2008)

The Cross-Entropy Method for Policy Search in Decentralized POMDPs. - Frans A. Oliehoek; Julian F. P. Kooij; Nikos Vlassis (Informatica (Slovenia), 2008)

Optimal and Approximate Q-value Functions for Decentralized POMDPs. - Frans A. Oliehoek; Matthijs T. J. Spaan; Nikos Vlassis (J. Artif. Intell. Res., 2008)

Model-free reinforcement learning as mixture learning. - Nikos Vlassis; Marc Toussaint (ICML, 2009)

Learning model-free robot control by a Monte Carlo EM algorithm. - Nikos Vlassis; Marc Toussaint; Georgios Kontes; Savas Piperidis (Auton. Robots, 2009)

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence - Nikos Vlassis (Morgan & Claypool Publishers, 2009)

Bayesian Reinforcement Learning. - Nikos Vlassis; Mohammad Ghavamzadeh; Shie Mannor; Pascal Poupart (Reinforcement Learning, 2012)

NP-hardness of polytope M-matrix testing and related problems - Nikos Vlassis (CoRR, 2012)

On the Computational Complexity of Stochastic Controller Optimization in POMDPs. - Nikos Vlassis; Michael L. Littman; David Barber (ACM Trans. Comput. Theory, 2012)

fastGapFill: efficient gap filling in metabolic networks. - Ines Thiele; Nikos Vlassis; Ronan M. T. Fleming (Bioinform., 2014)

Spectral Sequence Motif Discovery. - Nicolò Colombo; Nikos Vlassis (CoRR, 2014)

Fast Reconstruction of Compact Context-Specific Metabolic Network Models. - Nikos Vlassis; Maria Pires Pacheco; Thomas Sauter (PLoS Comput. Biol., 2014)

Polytopic uncertainty for linear systems: New and old complexity results. - Nikos Vlassis; Raphaël M. Jungers (Syst. Control. Lett., 2014)

Improved Parkinson's Disease Classification from Diffusion MRI Data by Fisher Vector Descriptors. - Luis Salamanca; Nikos Vlassis; Nico Diederich; Florian Bernard; Alexander Skupin (MICCAI (2), 2015)

Stable Spectral Learning Based on Schur Decomposition. - Nicolò Colombo; Nikos Vlassis (UAI, 2015)

FastMotif: spectral sequence motif discovery. - Nicolò Colombo; Nikos Vlassis (Bioinform., 2015)

Tensor Decomposition via Joint Matrix Schur Decomposition. - Nicolò Colombo; Nikos Vlassis (ICML, 2016)

Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. - Sheng Li 001; Nikos Vlassis; Jaya Kawale; Yun Fu 001 (IJCAI, 2016)

Practical Linear Models for Large-Scale One-Class Collaborative Filtering. - Suvash Sedhain; Hung Bui 001; Jaya Kawale; Nikos Vlassis; Branislav Kveton; Aditya Krishna Menon; Trung Bui; Scott Sanner (IJCAI, 2016)

Fast correspondences for statistical shape models of brain structures. - Florian Bernard; Nikos Vlassis; Peter Gemmar; Andreas Husch; Johan Thunberg; Jorge M. Gonçalves; Frank Hertel (Image Processing, 2016)

A posteriori error bounds for joint matrix decomposition problems. - Nicolò Colombo; Nikos Vlassis (NIPS, 2016)

t-Exponential Triplet Embedding. - Ehsan Amid; Nikos Vlassis; Manfred K. Warmuth (CoRR, 2016)

Approximate Joint Matrix Triangularization. - Nicolò Colombo; Nikos Vlassis (CoRR, 2016)

Stochastic Control via Entropy Compression. - Dimitris Achlioptas; Fotis Iliopoulos; Nikos Vlassis (ICALP, 2017)

An Interactive Points of Interest Guidance System. - Georgios Theocharous; Nikos Vlassis; Zheng Wen 002 (IUI Companion, 2017)

Does Weather Matter?: Causal Analysis of TV Logs. - Shi Zong; Branislav Kveton; Shlomo Berkovsky; Azin Ashkan; Nikos Vlassis; Zheng Wen 002 (WWW (Companion Volume), 2017)

Posterior Sampling for Large Scale Reinforcement Learning. - Georgios Theocharous; Zheng Wen 002; Yasin Abbasi-Yadkori; Nikos Vlassis (CoRR, 2017)

Capacity-aware Sequential Recommendations. - Frits de Nijs; Georgios Theocharous; Nikos Vlassis; Mathijs Michiel de Weerdt; Matthijs T. J. Spaan (AAMAS, 2018)

Scalar Posterior Sampling with Applications. - Georgios Theocharous; Zheng Wen 002; Yasin Abbasi; Nikos Vlassis (NeurIPS, 2018)

Optimizing over a Restricted Policy Class in Markov Decision Processes. - Ershad Banijamali; Yasin Abbasi-Yadkori; Mohammad Ghavamzadeh; Nikos Vlassis (CoRR, 2018)

Optimizing over a Restricted Policy Class in MDPs. - Ershad Banijamali; Yasin Abbasi-Yadkori; Mohammad Ghavamzadeh; Nikos Vlassis (AISTATS, 2019)

More Efficient Off-Policy Evaluation through Regularized Targeted Learning. - Aurélien Bibaut; Ivana Malenica; Nikos Vlassis; Mark J. van der Laan (ICML, 2019)

On the Design of Estimators for Bandit Off-Policy Evaluation. - Nikos Vlassis; Aurélien Bibaut; Maria Dimakopoulou; Tony Jebara (ICML, 2019)

Marginal Posterior Sampling for Slate Bandits. - Maria Dimakopoulou; Nikos Vlassis; Tony Jebara (IJCAI, 2019)

Control Variates for Slate Off-Policy Evaluation. - Nikos Vlassis; Ashok Chandrashekar; Fernando Amat Gil; Nathan Kallus (NeurIPS, 2021)

Off-Policy Evaluation of Slate Policies under Bayes Risk. - Nikos Vlassis; Fernando Amat Gil; Ashok Chandrashekar (CoRR, 2021)

Local Policy Improvement for Recommender Systems. - Dawen Liang; Nikos Vlassis (CoRR, 2022)

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. - Ashish Singh; Prateek Agarwal; Zixuan Huang; Arpita Singh; Tong Yu 001; Sungchul Kim; Victor S. Bursztyn; Nikos Vlassis; Ryan A. Rossi (CoRR, 2023)

Distributional Off-Policy Evaluation for Slate Recommendations. - Shreyas Chaudhari; David Arbour; Georgios Theocharous; Nikos Vlassis (AAAI, 2024)

Lizard: An Efficient Linearization Framework for Large Language Models. - Chien Van Nguyen; Ruiyi Zhang 002; Hanieh Deilamsalehy; Puneet Mathur; Viet Dac Lai; Haoliang Wang; Jayakumar Subramanian; Ryan A. Rossi; Trung Bui; Nikos Vlassis; Franck Dernoncourt; Thien Huu Nguyen (CoRR, 2025)