This page was originally intended to include a few research samples, but please keep in mind that it is currently out of date. A more up-to-date list of publications can be found on Google Scholar. For additional information on my current research or related inquiries, please feel free to contact me.

• MF da Silva (*), F Dangel (*), S Oore, Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemmanian Geometry Finds It, ICML 2025 Spotlight
• C Shama Sastry (*), SH Dumpala (*), S Oore, DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers, NeurIPS 2024
• SH Dumpala (*), A Jaiswal (*), C Shama Sastry (*), E Milios, S Oore, H Sajjad, Sugarcrepe++ dataset: Vision-language model sensitivity to semantic and lexical alterations, NeurIPS 2024
• SH Dumpala (*), CS Sastry (*), R Uher, S Oore, Test-Time Training for Speech-based Depression Detection, Interspeech 2025
• S Brade (*), B Wang (*), M Sousa (*), GL Newsome, S Oore, T Grossman, SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration, IUI 2024
• Y Huang (*), A Ghatare (*), Y Liu (*), Z Hu (*), Q Zhang, CS Sastry (*), S Gururani, S Oore, Y Yue, Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion, ICML 2024
• SC Lowe (*), JB Haurum (*), S Oore, TB Moeslund, GW Taylor, An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Foundation Models, ICML 2024 Workshop on Foundation Models in the Wild,
• S Brade (*), B Wang (*), M Sousa (*), S Oore, T Grossman, Promptify: Text-to-image generation through interactive prompt exploration with large language models, UIST 2023
• SH Dumpala (*), K Dikaios (*), S Rodriguez (*), R Langley (*), S Rempel, R Uher, S Oore, Manifestation of depression in speech overlaps with characteristics used to represent and recognize speaker identity, Nature Scientific Reports 2023
• SC Lowe (*), R Earle (*), J d'Eon (*), T Trappenberg, S Oore, Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators, NeurIPS 2022
• J d’Eon (∗),SH Dumpala (∗),CS Sastry (∗), D Oore,S Oore “Musical Speech: A Transformer-based Composition Tool”, NeurIPS Demonstration and Competition Track, Proceedings of Machine Learning Research (PMLR), Volume 133, 2021, Outstanding Demonstration Award (Runner-up)
• SH Dumpala, S Rempel, K Dikaios, M Sajjadian, R Uher, S Oore, “Estimating Severity of Depression from Acoustic Features and Embeddings of Natural Speech”,IEEE ICASSP 2021
• SH Dumpala, S Oore, “Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion”, CanAI 2021
• CS Sastry, S Oore, Detecting Out-of-Distribution Examples with Gram Matrices,ICML 2020, in PMLR, Volume 119, 2020
• AGC Pacheco, CS Sastry, T Trappenberg, S Oore, R Krohling, “On Out-of-Distribution Detection Algorithms with Deep NeuralSkin Cancer Classifiers”,CVPR 2020, ISIC Workshop on Skin Image Analysis, Best Paper Award
• N Meade (*), N Barreyre (*), SC Lowe, S Oore, Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls, ICCC 2019
• S Huang, Q Li, C Anil, X Bao, S Oore, RB Grosse,TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer, ICLR 2019
• M Bretan, S Oore, S Sanan, L Heck, Robot Learning by Collaborative Network Training: A Self-Supervised Method using Ranking, AAMAS 2019
• S Oore, I Simon, S Dieleman, D Eck, K Simonyan, “ThisTime with Feeling: Learning Expressive Musical Performance”,Special Issue of Neural Computing and Applications, Volume 32, Number 4, November 2018
• C Hawthorne, E Elsen, J Song, A Roberts, I Simon, C Raffel, J Engel, S Oore, D Eck, “Onsets and Frames: Dual-Objective Piano Transcription”, ISMIR 2018
• A Roberts, J Engel, S Oore, D Eck, “Learning Latent Representations of Music to Generate Interactive Musical Palettes”, Workshop on Intelligent Music Interfaces, IUI 2018
• M Bretan, S Oore, J Engel, D Eck, L Heck, Deep Music: Towards Musical Dialogue, AAAI 2017, Honorable Mention for Best Technical Demonstration, [paper, video]

• This is a list of placeholders; we are currently building individual project pages for some of these projects and others not yet listed. Until then, if you require any information about any of these projects please feel free to contact me.
• Deep Neural Networks for Controlling Music Generation
• Monitoring Mental Health from Acoustic Speech
• Music Understanding with Machine Learning
• Out-of-Distribution Detection
• Learning Interfaces & Performance Spaces
• Interfaces for Multimedia Authoring
• Virtual Puppetry-- Interactive Graphical Control (past)
• Eye-tracking Interface (past)
• SLAM before SLAM (very past)