A Mobile Robot that Learns its Place. - Sageev Oore; Geoffrey E. Hinton; Gregory Dudek (Neural Comput., 1997)

A Desktop Input Device and Interface for Interactive 3D Character Animation. - Sageev Oore; Demetri Terzopoulos; Geoffrey E. Hinton (Graphics Interface, 2002)

Local Physical Models for Interactive Character Animation. - Sageev Oore; Demetri Terzopoulos; Geoffrey E. Hinton (Comput. Graph. Forum, 2002)

DIGITAL MARIONETTE: augmenting kinematics with physics for multi-track desktop performance animation. - Sageev Oore (2002)

Building Classes of Entertaining Games for Health Education. - Carolyn R. Watters; Fengan Liu; Hadi Kharrazi; Sageev Oore; Melanie Kellar; Michael A. Shepherd (DiGRA Conference, 2005)

Learning Advanced Skills on New Instruments (or practising scales and arpeggios on your NIME). - Sageev Oore (NIME, 2005)

PlaceAndPlay: a digital tool for children to create and record music. - Yasushi Akiyama; Sageev Oore (CHI, 2008)

A Multimodal Input Device for Music Authoring for Children. - Yasushi Akiyama; Sageev Oore (MMM, 2008)

Framework for constructing task-space to support novice multimedia authoring. - Yasushi Akiyama; Sageev Oore; Carolyn R. Watters (Multim. Tools Appl., 2015)

Deep Music: Towards Musical Dialogue. - Mason Bretan; Sageev Oore; Jesse H. Engel; Douglas Eck; Larry P. Heck (AAAI, 2017)

Learning and Evaluating Musical Features with Deep Autoencoders. - Mason Bretan; Sageev Oore; Douglas Eck; Larry P. Heck (CoRR, 2017)

Onsets and Frames: Dual-Objective Piano Transcription. - Curtis Hawthorne; Erich Elsen; Jialin Song; Adam Roberts; Ian Simon; Colin Raffel; Jesse H. Engel; Sageev Oore; Douglas Eck (ISMIR, 2018)

Learning Latent Representations of Music to Generate Interactive Musical Palettes. - Adam Roberts; Jesse H. Engel; Sageev Oore; Douglas Eck (IUI Workshops, 2018)

Self-training for Cell Segmentation and Counting. - Junliang Luo; Sageev Oore; Paul Hollensen; Alan Fine; Thomas Trappenberg (Canadian AI, 2019)

Robot Learning by Collaborative Network Training: A Self-Supervised Method using Ranking. - Mason Bretan; Sageev Oore; Siddharth Sanan; Larry P. Heck (AAMAS, 2019)

Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls. - Nicholas Meade; Nicholas Barreyre; Scott C. Lowe; Sageev Oore (ICCC, 2019)

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. - Sicong Huang 001; Qiyang Li; Cem Anil; Xuchan Bao; Sageev Oore; Roger B. Grosse (ICLR (Poster), 2019)

Learning Adaptive Weight Masking for Adversarial Examples. - Yoshimasa Kubo; Michael Traynor; Thomas Trappenberg; Sageev Oore (IJCNN, 2019)

Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices. - Chandramouli Shama Sastry; Sageev Oore (CoRR, 2019)

On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. - André G. C. Pacheco; Chandramouli Shama Sastry; Thomas Trappenberg; Sageev Oore; Renato A. Krohling (CVPR Workshops, 2020)

Detecting Out-of-Distribution Examples with Gram Matrices. - Chandramouli Shama Sastry; Sageev Oore (ICML, 2020)

Musical Speech: A Transformer-based Composition Tool. - Jason d'Eon; Sri Harsha Dumpala; Chandramouli Shama Sastry; Daniel Oore; Sageev Oore (NeurIPS (Competition and Demos), 2020)

This time with feeling: learning expressive musical performance. - Sageev Oore; Ian Simon; Sander Dieleman; Douglas Eck; Karen Simonyan (Neural Comput. Appl., 2020)

Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion. - Sri Harsha Dumpala; Sageev Oore (Canadian AI, 2021)

Controlling BigGAN Image Generation with a Segmentation Network. - Aman Jaiswal; Harpreet Singh Sodhi; Mohamed Muzamil H; Rajveen Singh Chandhok; Sageev Oore; Chandramouli Shama Sastry (DS, 2021)

Estimating Severity of Depression From Acoustic Features and Embeddings of Natural Speech. - Sri Harsha Dumpala; Sheri Rempel; Katerina Dikaios; Mehri Sajjadian; Rudolf Uher; Sageev Oore (ICASSP, 2021)

ArtBeat - Deep Convolutional Networks for Emotional Inference to Enhance Art with Music. - Liam Hebert; Elizabeth Eddy; Will Harrington; Lauryn Marchand; Jason d'Eon; Sageev Oore (ICMI Companion, 2021)

Sine-Wave Speech and Privacy-Preserving Depression Detection. - Sri Harsha Dumpala; Rudolf Uher; Stan Matwin; Michael Kiefte; Sageev Oore (SMM, 2021)

Music of Speech, and Speech of Depression. - Sageev Oore (SMM, 2021)

Significance of Speaker Embeddings and Temporal Context for Depression Detection. - Sri Harsha Dumpala; Sebastian Rodriguez; Sheri Rempel; Rudolf Uher; Sageev Oore (CoRR, 2021)

Logical Activation Functions: Logit-space equivalents of Boolean Operators. - Scott C. Lowe; Robert Earle; Jason d'Eon; Thomas Trappenberg; Sageev Oore (CoRR, 2021)

LogAvgExp Provides a Principled and Performant Global Pooling Operator. - Scott C. Lowe; Thomas Trappenberg; Sageev Oore (CoRR, 2021)

On Combining Global and Localized Self-Supervised Models of Speech. - Sri Harsha Dumpala; Chandramouli Shama Sastry; Rudolf Uher; Sageev Oore (INTERSPEECH, 2022)

Spectral Analysis for Dance Movement Query and Interpolation. - Emily Napier; Gavin Gray; Sageev Oore (MOCO, 2022)

Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators. - Scott C. Lowe; Robert Earle; Jason d'Eon; Thomas Trappenberg; Sageev Oore (NeurIPS, 2022)

Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams. - Scott C. Lowe; Louise P. McGarry; Jessica Douglas; Jason Newport; Sageev Oore; Christopher Whidden; Daniel J. Hasselman (CoRR, 2022)

Generative Extraction of Audio Classifiers for Speaker Identification. - Tejumade Afonja; Lucas Bourtoule; Varun Chandrasekaran; Sageev Oore; Nicolas Papernot (CoRR, 2022)

High Frequency-Low Amplitude Oscillometry: Continuous Unobtrusive Monitoring of Respiratory Function on PAP Machines. - Hamed Hanafi Alamdari; Luke Hacquebard; Stephen Driscoll; Kamal El-Sankary; David C. Roach; Robin LeBlanc; Scott C. Lowe; Sageev Oore; Thomas Penzel; Ingo Fietze; Michael Schmidt; Debra Morrison (IEEE Trans. Biomed. Eng., 2022)

Creating Latent Representations of Synthesizer Patches using Variational Autoencoders. - Matthew Peachey; Sageev Oore; Joseph W. Malloch (IS2, 2023)

Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models. - Stephen Brade; Bryan Wang; Maurício Sousa; Sageev Oore; Tovi Grossman (UIST, 2023)

Training Diffusion Classifiers with Denoising Assistance. - Chandramouli Shama Sastry; Sri Harsha Dumpala; Sageev Oore (CoRR, 2023)

Test-Time Training for Speech. - Sri Harsha Dumpala; Chandramouli Shama Sastry; Sageev Oore (CoRR, 2023)

The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study. - Meagan Sinclair; Hamed Hanafi Alamdari; Julia Paffile; Kamal El-Sankary; Scott C. Lowe; Stephen Driscoll; Sageev Oore; Heather Tomson; Gregory Begin; Guillermo Aristi; Michael Schmidt; David C. Roach; et al. (IEEE Trans. Biomed. Eng., 2023)

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. - Yujia Huang; Adishree Ghatare; Yuanzhe Liu; Ziniu Hu; Qinsheng Zhang; Chandramouli Shama Sastry; Siddharth Gururani; Sageev Oore; Yisong Yue (ICML, 2024)

SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration. - Stephen Brade; Bryan Wang; Maurício Sousa; Gregory Lee Newsome; Sageev Oore; Tovi Grossman (IUI, 2024)

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations. - Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Shama Sastry; Evangelos E. Milios; Sageev Oore; Hassan Sajjad 001 (NeurIPS, 2024)

DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers. - Chandramouli Shama Sastry; Sri Harsha Dumpala; Sageev Oore (NeurIPS, 2024)

Test-Time Training for Depression Detection. - Sri Harsha Dumpala; Chandramouli Shama Sastry; Rudolf Uher; Sageev Oore (CoRR, 2024)

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations. - Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Shama Sastry; Evangelos E. Milios; Sageev Oore; Hassan Sajjad 001 (CoRR, 2024)

An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders. - Scott C. Lowe; Joakim Bruslund Haurum; Sageev Oore; Thomas B. Moeslund; Graham W. Taylor (CoRR, 2024)

Predicting Individual Depression Symptoms from Acoustic Features During Speech. - Sebastian Rodriguez; Sri Harsha Dumpala; Katerina Dikaios; Sheri Rempel; Rudolf Uher; Sageev Oore (CoRR, 2024)

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression. - Sri Harsha Dumpala; Katerina Dikaios; Abraham Nunes; Frank Rudzicz; Rudolf Uher; Sageev Oore (CoRR, 2024)

Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts. - Sri Harsha Dumpala; Aman Jaiswal; Chandramouli Shama Sastry; Evangelos E. Milios; Sageev Oore; Hassan Sajjad 001 (CoRR, 2024)

Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models. - Sri Harsha Dumpala; David Arps; Sageev Oore; Laura Kallmeyer; Hassan Sajjad 001 (CoRR, 2024)