Who wants to listen to aleatoric choral music?? That's right, you do!!
Do Not Let These Stars Burn Out (2025)
YouTube video by Haden Plouffe
youtu.be
November 7, 2025 at 2:24 AM
Who wants to listen to aleatoric choral music?? That's right, you do!!
Mark Fell’s ‘Psychic Resynthesis’ among @Bandcamp’s best contemporary classical of October: “It’s stunning, a mysterious, somewhat aleatoric dance of sounds that convey their own peculiar logic.” daily.bandcamp.com/best-contemp...
The Best Contemporary Classical Music on Bandcamp, October 2025
Our guide to the month’s crucial contemporary classical LPs.
daily.bandcamp.com
November 6, 2025 at 3:42 PM
Mark Fell’s ‘Psychic Resynthesis’ among @Bandcamp’s best contemporary classical of October: “It’s stunning, a mysterious, somewhat aleatoric dance of sounds that convey their own peculiar logic.” daily.bandcamp.com/best-contemp...
Mark Fell’s ‘Psychic Resynthesis’ among best contemporary classical of October on @bandcamp.com: “It’s stunning, a mysterious, somewhat aleatoric dance of sounds that convey their own peculiar logic.” daily.bandcamp.com/best-contemp...
The Best Contemporary Classical Music on Bandcamp, October 2025
Our guide to the month’s crucial contemporary classical LPs.
daily.bandcamp.com
November 6, 2025 at 4:50 PM
Mark Fell’s ‘Psychic Resynthesis’ among best contemporary classical of October on @bandcamp.com: “It’s stunning, a mysterious, somewhat aleatoric dance of sounds that convey their own peculiar logic.” daily.bandcamp.com/best-contemp...
@klayjamesenos.bsky.social and I have a series -- his paintings, my code -- in "about, not by; for, not from," a virtual exhibition by Unrequited Leisure, featuring work where "artists probe the cultural gravity of algorithms without surrendering authorship to them."
newart.city/show/about-n...
newart.city/show/about-n...
November 3, 2025 at 1:35 PM
@klayjamesenos.bsky.social and I have a series -- his paintings, my code -- in "about, not by; for, not from," a virtual exhibition by Unrequited Leisure, featuring work where "artists probe the cultural gravity of algorithms without surrendering authorship to them."
newart.city/show/about-n...
newart.city/show/about-n...
Okay, i think we need an alternative to NAMM. Nothing costs money. Everything defies commercial appeal. Best of show awards to the weirdest. Sign autographs with your favorite aleatoric composers. Open bar is coffee. Afterparty is more talks then a linkup to the ISS. Call it... NERDD.
October 25, 2025 at 11:28 AM
Okay, i think we need an alternative to NAMM. Nothing costs money. Everything defies commercial appeal. Best of show awards to the weirdest. Sign autographs with your favorite aleatoric composers. Open bar is coffee. Afterparty is more talks then a linkup to the ISS. Call it... NERDD.
Very much looking forward to performing a new version of Broken as part of @gianttank.bsky.social TFEH event at @fruitmarket.bsky.social:
📍Fruitmarket, Edinburgh, EH1 1DF
🗓️ Sunday 9th November 2025
🕚 8pm - 11pm
www.ticketsource.co.uk/tfeh/tfeh-pr...
#aleatoric #gnossienne #freetime #satie
📍Fruitmarket, Edinburgh, EH1 1DF
🗓️ Sunday 9th November 2025
🕚 8pm - 11pm
www.ticketsource.co.uk/tfeh/tfeh-pr...
#aleatoric #gnossienne #freetime #satie
September 24, 2025 at 12:04 PM
Very much looking forward to performing a new version of Broken as part of @gianttank.bsky.social TFEH event at @fruitmarket.bsky.social:
📍Fruitmarket, Edinburgh, EH1 1DF
🗓️ Sunday 9th November 2025
🕚 8pm - 11pm
www.ticketsource.co.uk/tfeh/tfeh-pr...
#aleatoric #gnossienne #freetime #satie
📍Fruitmarket, Edinburgh, EH1 1DF
🗓️ Sunday 9th November 2025
🕚 8pm - 11pm
www.ticketsource.co.uk/tfeh/tfeh-pr...
#aleatoric #gnossienne #freetime #satie
Airing tomorrow night 18 Sept 2025 at 6pm CEST on @campradio.bsky.social
Exploring the edges of sound, from resonant metals to insect voices, friction, improvisation, and flutter. With works by Lucier, Parker, Westerkamp, Hartman, Mori, and Lachenmann.
Exploring the edges of sound, from resonant metals to insect voices, friction, improvisation, and flutter. With works by Lucier, Parker, Westerkamp, Hartman, Mori, and Lachenmann.
September 17, 2025 at 11:17 AM
Airing tomorrow night 18 Sept 2025 at 6pm CEST on @campradio.bsky.social
Exploring the edges of sound, from resonant metals to insect voices, friction, improvisation, and flutter. With works by Lucier, Parker, Westerkamp, Hartman, Mori, and Lachenmann.
Exploring the edges of sound, from resonant metals to insect voices, friction, improvisation, and flutter. With works by Lucier, Parker, Westerkamp, Hartman, Mori, and Lachenmann.
i like the idea of someone obsessed with rules and rulebreaking in music who eventually heads to aleatoric music just on principle alone
September 16, 2025 at 5:28 PM
i like the idea of someone obsessed with rules and rulebreaking in music who eventually heads to aleatoric music just on principle alone
"...repurposing movements from some of departed contemporary h. budd's essential works, violetta oliveros has composed "as long as i can hold my breath (by night)", an hour-long spellbinding aleatoric performance that drifts in the aimless & eternal ache of yearning..."
#gpose | #gposers | #miqo'te
#gpose | #gposers | #miqo'te
September 16, 2025 at 3:39 PM
arXiv:2503.08097v1 Announce Type: new
Abstract: Accurate quantification of both aleatoric and epistemic uncertainties is essential when deploying Graph Neural Networks (GNNs) in high-stakes applications such as drug discovery and financial fraud [1/6 of https://arxiv.org/abs/2503.08097v1]
Abstract: Accurate quantification of both aleatoric and epistemic uncertainties is essential when deploying Graph Neural Networks (GNNs) in high-stakes applications such as drug discovery and financial fraud [1/6 of https://arxiv.org/abs/2503.08097v1]
March 12, 2025 at 6:02 AM
arXiv:2503.08097v1 Announce Type: new
Abstract: Accurate quantification of both aleatoric and epistemic uncertainties is essential when deploying Graph Neural Networks (GNNs) in high-stakes applications such as drug discovery and financial fraud [1/6 of https://arxiv.org/abs/2503.08097v1]
Abstract: Accurate quantification of both aleatoric and epistemic uncertainties is essential when deploying Graph Neural Networks (GNNs) in high-stakes applications such as drug discovery and financial fraud [1/6 of https://arxiv.org/abs/2503.08097v1]
Ryan Warnick
Decision Theory For Large Scale Outlier Detection Using Aleatoric Uncertainty: With a Note on Bayesian FDR
https://arxiv.org/abs/2508.01988
Decision Theory For Large Scale Outlier Detection Using Aleatoric Uncertainty: With a Note on Bayesian FDR
https://arxiv.org/abs/2508.01988
August 5, 2025 at 5:36 AM
Ryan Warnick
Decision Theory For Large Scale Outlier Detection Using Aleatoric Uncertainty: With a Note on Bayesian FDR
https://arxiv.org/abs/2508.01988
Decision Theory For Large Scale Outlier Detection Using Aleatoric Uncertainty: With a Note on Bayesian FDR
https://arxiv.org/abs/2508.01988
Paul Scherer, Andreas Kirsch, Jake P. Taylor-King: When three experiments are better than two: Avoiding intractable correlated aleatoric uncertainty by leveraging a novel bias--variance tradeoff https://arxiv.org/abs/2509.04363 https://arxiv.org/pdf/2509.04363 https://arxiv.org/html/2509.04363
September 5, 2025 at 6:33 AM
Paul Scherer, Andreas Kirsch, Jake P. Taylor-King: When three experiments are better than two: Avoiding intractable correlated aleatoric uncertainty by leveraging a novel bias--variance tradeoff https://arxiv.org/abs/2509.04363 https://arxiv.org/pdf/2509.04363 https://arxiv.org/html/2509.04363
I would actually vote for the pre-L=A=N=G=U=A=G=E Fluxus group, all the people misusing the I Ching and taking John Cage and aleatoric generation way too seriously
October 6, 2023 at 8:16 PM
I would actually vote for the pre-L=A=N=G=U=A=G=E Fluxus group, all the people misusing the I Ching and taking John Cage and aleatoric generation way too seriously
@aaroth.bsky.social , to put it plainly - what is the epistemic vs aleatoric uncertainty in the unique count estimate we get out of data streaming algorithms like HyperLogLog? The question makes no sense. But the estimate is empirical and has uncertainty.
March 20, 2025 at 3:16 PM
@aaroth.bsky.social , to put it plainly - what is the epistemic vs aleatoric uncertainty in the unique count estimate we get out of data streaming algorithms like HyperLogLog? The question makes no sense. But the estimate is empirical and has uncertainty.
One final question :D
In the main paper, results (e.g. Fig 3a,b) are reported for uncertainty estimates inferred from eqs. 51 (aleatoric) and 52 (epistemic)?
In the main paper, results (e.g. Fig 3a,b) are reported for uncertainty estimates inferred from eqs. 51 (aleatoric) and 52 (epistemic)?
December 12, 2024 at 2:15 PM
One final question :D
In the main paper, results (e.g. Fig 3a,b) are reported for uncertainty estimates inferred from eqs. 51 (aleatoric) and 52 (epistemic)?
In the main paper, results (e.g. Fig 3a,b) are reported for uncertainty estimates inferred from eqs. 51 (aleatoric) and 52 (epistemic)?
Lu\'is Marques, Dmitry Berenson
Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
https://arxiv.org/abs/2409.08249
Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
https://arxiv.org/abs/2409.08249
September 13, 2024 at 5:31 AM
Lu\'is Marques, Dmitry Berenson
Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
https://arxiv.org/abs/2409.08249
Quantifying Aleatoric and Epistemic Dynamics Uncertainty via Local Conformal Calibration
https://arxiv.org/abs/2409.08249
…honest to goodness, this was just how I found this snow pile/aleatoric sculpture/OBVIOUSLY a dragon of supernatural provenance.
February 2, 2024 at 12:33 AM
…honest to goodness, this was just how I found this snow pile/aleatoric sculpture/OBVIOUSLY a dragon of supernatural provenance.
See, I (think I) understood the space you were trying to work in here, and we need to get it into some people's heads that there are other generative means. People forget that there's been procedural noises for a lot longer than the current hype, e.g. Cage and aleatoric music, etc.
July 1, 2024 at 4:04 PM
See, I (think I) understood the space you were trying to work in here, and we need to get it into some people's heads that there are other generative means. People forget that there's been procedural noises for a lot longer than the current hype, e.g. Cage and aleatoric music, etc.
Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich: STACI: Spatio-Temporal Aleatoric Conformal Inference https://arxiv.org/abs/2505.21658 https://arxiv.org/pdf/2505.21658 https://arxiv.org/html/2505.21658
May 29, 2025 at 6:18 AM
Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich: STACI: Spatio-Temporal Aleatoric Conformal Inference https://arxiv.org/abs/2505.21658 https://arxiv.org/pdf/2505.21658 https://arxiv.org/html/2505.21658
link 📈🤖
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk (Azizi, Bodik, Heiss et al) Accurate uncertainty quantification is critical for reliable predictive modeling, especially in regression tasks. Existing methods typically address either aleatoric uncertainty from measurement noise
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk (Azizi, Bodik, Heiss et al) Accurate uncertainty quantification is critical for reliable predictive modeling, especially in regression tasks. Existing methods typically address either aleatoric uncertainty from measurement noise
July 14, 2025 at 4:23 PM
link 📈🤖
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk (Azizi, Bodik, Heiss et al) Accurate uncertainty quantification is critical for reliable predictive modeling, especially in regression tasks. Existing methods typically address either aleatoric uncertainty from measurement noise
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk (Azizi, Bodik, Heiss et al) Accurate uncertainty quantification is critical for reliable predictive modeling, especially in regression tasks. Existing methods typically address either aleatoric uncertainty from measurement noise
🩺 "Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner", co-authored by Valentyn Melnychuk: neurips.cc/virtual/2024...
December 12, 2024 at 4:08 PM
🩺 "Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner", co-authored by Valentyn Melnychuk: neurips.cc/virtual/2024...
[2025-09-30] 📚 Updates in #UQCV
(1) CRAUM-Net: Contextual Recursive Attention with Uncertainty Modeling for Salient Object Detection
(2) Variational Deep Learning via Implicit Regularization
(3) CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
🔍 More at researchtrend.ai/communities/UQCV
(1) CRAUM-Net: Contextual Recursive Attention with Uncertainty Modeling for Salient Object Detection
(2) Variational Deep Learning via Implicit Regularization
(3) CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
🔍 More at researchtrend.ai/communities/UQCV
September 30, 2025 at 4:00 AM
Whooooaaa, as much as I love learning Python (particularly for its strength in scientific computing ), I never thought doing anything artsy with it…nice. I hope you’re enjoying the classes. Now, lemme go find out what “aleatoric” means! LOL
May 7, 2023 at 10:01 PM
Whooooaaa, as much as I love learning Python (particularly for its strength in scientific computing ), I never thought doing anything artsy with it…nice. I hope you’re enjoying the classes. Now, lemme go find out what “aleatoric” means! LOL
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
https://arxiv.org/abs/2307.16694
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
https://arxiv.org/abs/2307.16694
August 21, 2024 at 1:00 PM
M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
https://arxiv.org/abs/2307.16694
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
https://arxiv.org/abs/2307.16694
transduction of aleatoric and epistemic errors experts may have about the World to our own epistemic uncertainty about how to consider their agreements and disagreements when it comes to our use of their decisions in our actions and context - your point.
March 23, 2025 at 4:11 PM
transduction of aleatoric and epistemic errors experts may have about the World to our own epistemic uncertainty about how to consider their agreements and disagreements when it comes to our use of their decisions in our actions and context - your point.