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Sageev Oore
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2020 – today
- 2024
- [c29]Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue:
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. ICML 2024 - [c28]Stephen Brade
, Bryan Wang
SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration. IUI 2024: 51-65 - [i23]Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue:
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. CoRR abs/2402.14285 (2024) - [i22]Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher, Sageev Oore:
Test-Time Training for Depression Detection. CoRR abs/2404.05071 (2024) - [i21]Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Shama Sastry, Evangelos E. Milios, Sageev Oore, Hassan Sajjad:
VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations. CoRR abs/2404.16365 (2024) - [i20]Scott C. Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor:
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders. CoRR abs/2406.02465 (2024) - [i19]Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Shama Sastry, Evangelos E. Milios, Sageev Oore, Hassan Sajjad:
SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations. CoRR abs/2406.11171 (2024) - [i18]Sebastian Rodriguez, Sri Harsha Dumpala, Katerina Dikaios, Sheri Rempel, Rudolf Uher, Sageev Oore:
Predicting Individual Depression Symptoms from Acoustic Features During Speech. CoRR abs/2406.16000 (2024) - [i17]Sri Harsha Dumpala, Katerina Dikaios, Abraham Nunes, Frank Rudzicz, Rudolf Uher, Sageev Oore:
Self-Supervised Embeddings for Detecting Individual Symptoms of Depression. CoRR abs/2406.17229 (2024) - 2023
- [j6]Meagan Sinclair, Hamed Hanafi Alamdari
The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study. IEEE Trans. Biomed. Eng. 70(10): 2776-2787 (2023) - [c27]Matthew Peachey, Sageev Oore, Joseph W. Malloch:
Creating Latent Representations of Synthesizer Patches using Variational Autoencoders. IS2 2023: 1-7 - [c26]Stephen Brade
Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models. UIST 2023: 96:1-96:14 - [i16]Stephen Brade, Bryan Wang, Maurício Sousa, Sageev Oore, Tovi Grossman:
Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models. CoRR abs/2304.09337 (2023) - [i15]Chandramouli Shama Sastry, Sri Harsha Dumpala, Sageev Oore:
Training Diffusion Classifiers with Denoising Assistance. CoRR abs/2306.09192 (2023) - [i14]Sri Harsha Dumpala, Chandramouli Shama Sastry, Sageev Oore:
Test-Time Training for Speech. CoRR abs/2309.10930 (2023) - [i13]Stephen Brade, Bryan Wang, Maurício Sousa, Gregory Lee Newsome, Sageev Oore, Tovi Grossman:
SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration. CoRR abs/2312.04690 (2023) - 2022
- [j5]Hamed Hanafi Alamdari
High Frequency-Low Amplitude Oscillometry: Continuous Unobtrusive Monitoring of Respiratory Function on PAP Machines. IEEE Trans. Biomed. Eng. 69(7): 2202-2211 (2022) - [c25]Sri Harsha Dumpala, Chandramouli Shama Sastry, Rudolf Uher, Sageev Oore:
On Combining Global and Localized Self-Supervised Models of Speech. INTERSPEECH 2022: 3593-3597 - [c24]Emily Napier, Gavin Gray, Sageev Oore:
Spectral Analysis for Dance Movement Query and Interpolation. MOCO 2022: 19:1-19:7 - [c23]Scott C. Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore:
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators. NeurIPS 2022 - [i12]Scott C. Lowe, Louise P. McGarry, Jessica Douglas, Jason Newport, Sageev Oore, Christopher Whidden, Daniel J. Hasselman:
Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams. CoRR abs/2202.09648 (2022) - [i11]Tejumade Afonja, Lucas Bourtoule, Varun Chandrasekaran, Sageev Oore, Nicolas Papernot:
Generative Extraction of Audio Classifiers for Speaker Identification. CoRR abs/2207.12816 (2022) - 2021
- [c22]Sri Harsha Dumpala, Sageev Oore:
Learning to Model Prosodic and Spectral Features for Non-parallel Emotive Speech Conversion. Canadian AI 2021 - [c21]Aman Jaiswal
Controlling BigGAN Image Generation with a Segmentation Network. DS 2021: 268-281 - [c20]Sri Harsha Dumpala, Sheri Rempel, Katerina Dikaios, Mehri Sajjadian
Estimating Severity of Depression From Acoustic Features and Embeddings of Natural Speech. ICASSP 2021: 7278-7282 - [c19]Liam Hebert
ArtBeat - Deep Convolutional Networks for Emotional Inference to Enhance Art with Music. ICMI Companion 2021: 299-311 - [c18]Sri Harsha Dumpala, Rudolf Uher, Stan Matwin, Michael Kiefte, Sageev Oore:
Sine-Wave Speech and Privacy-Preserving Depression Detection. SMM 2021 - [c17]Sageev Oore:
Music of Speech, and Speech of Depression. SMM 2021 - [i10]Sri Harsha Dumpala, Sebastian Rodriguez, Sheri Rempel, Rudolf Uher, Sageev Oore:
Significance of Speaker Embeddings and Temporal Context for Depression Detection. CoRR abs/2107.13969 (2021) - [i9]Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Dani Oore, Sageev Oore:
Musical Speech: A Transformer-based Composition Tool. CoRR abs/2108.01043 (2021) - [i8]Scott C. Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore:
Logical Activation Functions: Logit-space equivalents of Boolean Operators. CoRR abs/2110.11940 (2021) - [i7]Scott C. Lowe, Thomas Trappenberg, Sageev Oore:
LogAvgExp Provides a Principled and Performant Global Pooling Operator. CoRR abs/2111.01742 (2021) - 2020
- [j4]Sageev Oore
This time with feeling: learning expressive musical performance. Neural Comput. Appl. 32(4): 955-967 (2020) - [c16]André G. C. Pacheco, Chandramouli Shama Sastry, Thomas Trappenberg
On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers. CVPR Workshops 2020: 3152-3161 - [c15]Chandramouli Shama Sastry, Sageev Oore:
Detecting Out-of-Distribution Examples with Gram Matrices. ICML 2020: 8491-8501 - [c14]Jason d'Eon, Sri Harsha Dumpala, Chandramouli Shama Sastry, Daniel Oore, Sageev Oore:
Musical Speech: A Transformer-based Composition Tool. NeurIPS (Competition and Demos) 2020: 253-274
2010 – 2019
- 2019
- [c13]Junliang Luo
Self-training for Cell Segmentation and Counting. Canadian AI 2019: 406-412 - [c12]Mason Bretan, Sageev Oore, Siddharth Sanan, Larry P. Heck:
Robot Learning by Collaborative Network Training: A Self-Supervised Method using Ranking. AAMAS 2019: 1333-1340 - [c11]Nicholas Meade, Nicholas Barreyre, Scott C. Lowe, Sageev Oore:
Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls. ICCC 2019: 148-155 - [c10]Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse:
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. ICLR (Poster) 2019 - [c9]Yoshimasa Kubo, Michael Traynor, Thomas Trappenberg
Learning Adaptive Weight Masking for Adversarial Examples. IJCNN 2019: 1-8 - [i6]Nicholas Meade, Nicholas Barreyre, Scott C. Lowe, Sageev Oore
Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls. CoRR abs/1907.04352 (2019) - [i5]Chandramouli Shama Sastry, Sageev Oore:
Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices. CoRR abs/1912.12510 (2019) - 2018
- [c8]Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. ISMIR 2018: 50-57 - [c7]Adam Roberts, Jesse H. Engel, Sageev Oore, Douglas Eck:
Learning Latent Representations of Music to Generate Interactive Musical Palettes. IUI Workshops 2018 - [i4]Sageev Oore, Ian Simon, Sander Dieleman, Douglas Eck, Karen Simonyan:
This Time with Feeling: Learning Expressive Musical Performance. CoRR abs/1808.03715 (2018) - [i3]Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse:
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. CoRR abs/1811.09620 (2018) - 2017
- [c6]Mason Bretan, Sageev Oore, Jesse H. Engel, Douglas Eck, Larry P. Heck:
Deep Music: Towards Musical Dialogue. AAAI 2017: 5081-5082 - [i2]Mason Bretan, Sageev Oore, Douglas Eck, Larry P. Heck:
Learning and Evaluating Musical Features with Deep Autoencoders. CoRR abs/1706.04486 (2017) - [i1]Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. CoRR abs/1710.11153 (2017) - 2015
- [j3]Yasushi Akiyama, Sageev Oore
Framework for constructing task-space to support novice multimedia authoring. Multim. Tools Appl. 74(15): 6111-6147 (2015)
2000 – 2009
- 2008
- [c5]Yasushi Akiyama, Sageev Oore
PlaceAndPlay: a digital tool for children to create and record music. CHI 2008: 735-738 - [c4]Yasushi Akiyama, Sageev Oore
A Multimodal Input Device for Music Authoring for Children. MMM 2008: 165-174 - 2005
- [c3]Carolyn R. Watters, Fengan Liu, Hadi Kharrazi, Sageev Oore, Melanie Kellar, Michael A. Shepherd:
Building Classes of Entertaining Games for Health Education. DiGRA Conference 2005 - [c2]Sageev Oore:
Learning Advanced Skills on New Instruments (or practising scales and arpeggios on your NIME). NIME 2005: 60-65 - 2002
- [b1]Sageev Oore:
DIGITAL MARIONETTE: augmenting kinematics with physics for multi-track desktop performance animation. University of Toronto, Canada, 2002 - [j2]Sageev Oore
Local Physical Models for Interactive Character Animation. Comput. Graph. Forum 21(3): 337-346 (2002) - [c1]Sageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton:
A Desktop Input Device and Interface for Interactive 3D Character Animation. Graphics Interface 2002: 133-140
1990 – 1999
- 1997
- [j1]Sageev Oore
A Mobile Robot that Learns its Place. Neural Comput. 9(3): 683-699 (1997)
Coauthor Index
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last updated on 2024-10-22 21:19 CEST by the dblp team
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