- Grandoni F. (2018) Approximation Algorithms for Network Problems II
- Montemanni R. (2018) Machine learning and sampling-based metaheuristics for stochastic vehicle routing problems
- Gambardella L. (2018) Introducing People to Research in Robotics through an Extended Peer Community in Southern Switzerland
- Schmidhuber J. (2017) AlgoRNN - Recurrent Neural Networks and Related Machines That Learn Algorithms
- Zaffalon M., Benavoli A. (2017) State space Gaussian processes for big data analytics
- Gambardella L., Mastrolilli M. (2017) Lift and Project Methods for Machine Scheduling Through Theory and Experiments
- Schmidhuber J. (2016) RNNAIssance
- Zaffalon M., Corani G. (2016) Statistical learing and inference on big data with probabilistic graphical models

- Grandoni F. (2015) Approximation Algorithms for Network Problems
- Montemanni R. (2015) Robust Optimization for Home Health Care
- Schmidhuber J. (2015) Advanced Reinforcement Learning
- Gambardella L., Montemanni R. (2014) Hybrid Sampling-based metaheuristics for Stochastic Optimization Problems with Deadlines
- Zaffalon M. (2014) Robust structure learning of Bayesian networks
- Gambardella L., Mastrolilli M. (2012) Approximation Algorithms for Machine Scheduling Through Theory and Experiments
- Gambardella L. (2012) Approximation Algorithms for Machine Scheduling Through Theory and Experiments IV
- Schmidhuber J. (2012) Supervised Deep / Recurrent Nets
- Montemanni R. (2012) Robust Optimization II: applications and theory
- Schmidhuber J. (2012) Theory and Practice of Reinforcement Learning 2
- Schmidhuber J. (2012) OCR Pattern Recognition
- Gambardella L., Zaffalon M. (2012) Utool: a system for evaluation of unsecured credits
- Zaffalon M. (2012) Learning under near-ignorance: models and methods
- Gambardella L., Rizzoli A. (2012) HCD 2.0: innovative and smart EV home charging system equipped with self-learning algorithms that optimizes energy consumption patterns and electrical network stability
- Gomez F. (2011) Advanced Cooperative NeuroEvolution for Autonomous Control
- Gambardella L. (2011) New sampling-based metaheuristics for stochastic vehicle routing problems II
- Zaffalon M. (2011) Credal networks made easy
- Plattner Bernhard, Gambardella L., Di Caro G. (2011) SWARMIX: Synergistic Interactions in Swarms of Heterogenous Agents
- Gambardella L., Rizzoli A. (2011) Swiss2Grid: Algorithm based approach to decentralized load management
- Floreano Dario, Gambardella L., Di Caro G. (2010) NCCR Robotics
- Schmidhuber J. (2010) Development of Automatic Surface Inspection
- Rizzoli A. (2010) Multi Model Inference for dealing with uncertainty in environmental models
- Gambardella L., Rizzoli A. (2010) Smart Grid concept with PV energy generation and decentralized consumption optimization using a swarm intelligence approach
- Gambardella L. (2009) Approximation Algorithms for Machine Scheduling Through Theory and Experiments III
- Schmidhuber J. (2009) Supervised recurrent networks 2
- Gomez F. (2009) Advanced Cooperative Neuro-Evolution for Unsupervised Learning and Autonomous Control
- Montemanni R. (2009) Robust Optimization: theory and applications
- Schmidhuber J. (2009) State representation in reward based learning - from spiking neuron models to psychophysics
- Zaffalon M. (2009) Ignorance, caution and the naive credal classifier
- Gambardella L. (2009) IFF - Intelligent Fill in Form
- Rizzoli A. (2008) Credal Model Averaging for Dealing with Unicertainty in Environmental Models
- Gambardella L. (2008) New sampling-based metaheurisrics for stochastic vehicle routing problems
- Gambardella L. (2008) IN3: Intelligent In Vitro Incubator
- Gambardella L., Rizzoli A. (2008) Train Optimization
- Schmidhuber J. (2007) Distributed Algorithm Portfolios
- Schmidhuber J. (2007) Theory and Practice of Reinforcement Learning
- Kwee Ivo, Hutter Marcus (2006) A Bayesian Approach for Integrated Cancer Genome Profiling
- Zaffalon M. (2006) Statistical learning from imperfect observations under prior ignorance
- Schmidhuber J. (2006) Supervised recurrent networks
- Schmidhuber J. (2006) Supervised recurrent Networks
- Gambardella L. (2005) Approximation algorithms for Machine Scheduling Through Theory and Experiments II
- Zaffalon M. (2005) Uncertain reasoning under incompleteness
- Schmidhuber J. (2005) Long Short Term Memory
- Hutter Marcus (2005) Optimal Rational AIXI Agent based on Algorithmic Complexity
- Schmidhuber J. (2005) General Search methods and Kolmogorov Complexity
- Gambardella L. (2005) Routing Problems with Objective Function of Increasing Complexity
- Gambardella L. (2004) Power Aware Computing
- Gambardella L. (2003) Approximation Algorithms for Machine Scheduling Through Theory and Experiments
- Schmidhuber J. (2003) Long short term memory
- Hutter Marcus (2003) Optimal Rational Agents in Unknown Environments - ORAUE
- Gambardella L. (2002) AdhocAnts
- Zaffalon M. (2002) Investigations on the theory and practice of credal classification
- Schmidhuber J. (2002) Implementation of Learning Algorithms For Robots
- Schmidhuber J. (2002) General methods for search and reinforcement learning
- Schmidhuber J. (2001) Long Short term memory
- Schmidhuber J. (2001) Long short term memory
- Gambardella L. (2001) Resources Allocation and Scheduling in Flexible Manufacturing systems II
- Schmidhuber J. (2001) Universal inductive inference and sequential decision theory (UISD)
- Schmidhuber J. (1999) Long Short term memory
- Schmidhuber J. (1999) Learning to memorize
- Gambardella L. (1999) Resources Allocation and Scheduling in Flexible Manufacturing Systems
- Gambardella L. (1999) On-line fleet management
- Schmidhuber J. (1999) Application of machine learning algorithms to flow control
- Schmidhuber J. (1998) Efficient online training of deep multi-layer perceptrons
- Schmidhuber J. (1997) LSTM - Long Short Term Memory
- Schmidhuber J. (1996) Predictability Minimization
- Schmidhuber J. (1995) Incremental Self-Improvement