| 2025 | ECAI | Distilling Reinforcement Learning into Single-Batch Datasets. | Connor Wilhelm, Dan Ventura |
| 2025 | ICMLA | A Reward-Driven Controller for Text Generation with Black-Box Language Models. | Robert Morain, Dan Ventura |
| 2025 | ICMLA | An Empirical Study on the Application of TDA to Deep Neural Networks. | Tyler Trogden, Dan Ventura |
| 2024 | AAAI | Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition. | Paul M. Bodily, Dan Ventura |
| 2024 | IJCAI | Musical Phrase Segmentation via Grammatical Induction. | Reed Perkins, Dan Ventura |
| 2023 | IUI | Drawing with Reframer: Emergence and Control in Co-Creative AI. | Tomas Lawton, Francisco Javier Ibarrola, Dan Ventura, Kazjon Grace |
| 2022 | ICMLA | Symbolic Semantic Memory in Transformer Language Models. | Robert Morain, Kenneth Vargas, Dan Ventura |
| 2021 | CogSci | Inferring Structural Constraints in Musical Sequences via Multiple Self-Alignment. | Paul M. Bodily, Dan Ventura |
| 2021 | ICTAI | Multi-agent Story-based Settlement Generation. | Jonathan Demke, Robert Morain, Connor Wilhelm, Dan Ventura |
| 2019 | ICMLA | Adapting Standard External Clustering Metrics for Repetitive, Noisy Observations. | Robert Smith, Jebediah Rosen, Dan Ventura |
| 2019 | ICTAI | Dynamically Scoring Rhymes with Phonetic Features and Sequence Alignment. | Benjamin Bay, Paul M. Bodily, Dan Ventura |
| 2017 | AAAI | Semantic Style Creation. | Derrall Heath, Dan Ventura |
| 2017 | ICMLA | Online Structure-Search for Sum-Product Networks. | Aaron W. Dennis, Dan Ventura |
| 2017 | ICMLA | Autoencoder-Enhanced Sum-Product Networks. | Aaron W. Dennis, Dan Ventura |
| 2016 | AAAI | Creating Images by Learning Image Semantics Using Vector Space Models. | Derrall Heath, Dan Ventura |
| 2015 | ICMLA | Data-Driven Kernels via Semi-supervised Clustering on the Manifold. | Jared Lundell, Charles DuHadway, Dan Ventura |
| 2015 | IJCAI | Greedy Structure Search for Sum-Product Networks. | Aaron W. Dennis, Dan Ventura |
| 2014 | ICMLA | Improving Spectral Learning by Using Multiple Representations. | Adam Drake, Dan Ventura |
| 2014 | ICMLA | Using Spectral Features to Improve Sentiment Analysis. | Adam Drake, Dan Ventura |
| 2014 | ISVC | Matching Affine Features with the SYBA Feature Descriptor. | Alok Desai, Dah-Jye Lee, Dan Ventura |
| 2013 | CogSci | Automatic Generation of Music for Inducing Physiological Response. | Kristine Monteith, Bruce Brown, Dan Ventura, Tony R. Martinez |
| 2013 | ICMLA | An Empirical Comparison of Spectral Learning Methods for Classification. | Adam Drake, Dan Ventura |
| 2011 | IJCNN | A SOM-based multimodal system for musical query-by-content. | Kyle B. Dickerson, Dan Ventura |
| 2009 | CVPR | Super-resolution via recapture and Bayesian effect modeling. | Neil Toronto, Bryan S. Morse, Kevin D. Seppi, Dan Ventura |
| 2009 | IAAI | Real-time Automatic Price Prediction for eBay Online Trading. | Ilya Raykhel, Dan Ventura |
| 2009 | IJCAI | Search Techniques for Fourier-Based Learning. | Adam Drake, Dan Ventura |
| 2009 | IJCNN | Music recommendation and query-by-content using Self-Organizing Maps. | Kyle B. Dickerson, Dan Ventura |
| 2009 | IJCNN | Improving the separability of a reservoir facilitates learning transfer. | David Norton, Dan Ventura |
| 2008 | AAAI | Adapting ADtrees for High Arity Features. | Robert Van Dam, Irene Langkilde-Geary, Dan Ventura |
| 2008 | AAAI | Data-Driven Programming and Behavior for Autonomous Virtual Characters. | Jonathan Dinerstein, Parris K. Egbert, Dan Ventura, Michael A. Goodrich |
| 2007 | ICIP | The Hough Transform's Implicit Bayesian Foundation. | Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi |
| 2007 | IJCAI | Learning Policies for Embodied Virtual Agents through Demonstration. | Jonathan Dinerstein, Parris K. Egbert, Dan Ventura |
| 2007 | IJCAI | Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems. | Nancy Fulda, Dan Ventura |
| 2007 | SMC | ADtrees for sequential data and n-gram Counting. | Robert Van Dam, Dan Ventura |
| 2007 | SMC | Robust multi-modal biometric fusion via multiple SVMs. | Sabra Dinerstein, Jonathan Dinerstein, Dan Ventura |
| 2007 | SMC | A data-dependent distance measure for transductive instance-based learning. | Jared Lundell, Dan Ventura |
| 2006 | CEC | Learning Quantum Operators From Quantum State Pairs. | Neil Toronto, Dan Ventura |
| 2006 | IJCNN | Learning a Rendezvous Task with Dynamic Joint Action Perception. | Nancy Fulda, Dan Ventura |
| 2006 | IJCNN | Spatiotemporal Pattern Recognition via Liquid State Machines. | Eric Goodman, Dan Ventura |
| 2006 | IJCNN | Preparing More Effective Liquid State Machines Using Hebbian Learning. | David Norton, Dan Ventura |
| 2005 | ICML | A practical generalization of Fourier-based learning. | Adam Drake, Dan Ventura |
| 2005 | IJCNN | Effectively using recurrently-connected spiking neural networks. | Eric Goodman, Dan Ventura |
| 2005 | IJCNN | Edge inference for image interpolation. | Neil Toronto, Dan Ventura, Bryan S. Morse |
| 2004 | IJCNN | Incremental policy learning: an equilibrium selection algorithm for reinforcement learning agents with common interests. | Nancy Fulda, Dan Ventura |
| 2004 | IJCNN | Choosing a starting configuration for particle swarm optimization. | Mark Richards, Dan Ventura |
| 2004 | IJCNN | Learning multiple correct classifications from incomplete data using weakened implicit negatives. | Stephen Whiting, Dan Ventura |
| 2003 | ICMLA | Dynamic Joint Action Perception for Q-Learning Agents. | Nancy Fulda, Dan Ventura |
| 1999 | IJCNN | Implementing competitive learning in a quantum system. | Dan Ventura |
| 1999 | IJCNN | A neural model of centered tri-gram speech recognition. | Dan Ventura, D. Randall Wilson, Brian Moncur, Tony R. Martinez |
| 1999 | IJCNN | The robustness of relaxation rates in constraint satisfaction networks. | D. Randall Wilson, Dan Ventura, Brian Moncur, Tony R. Martinez |