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#ecsmonday

Tired of manual #fault interpretation bias? Basa et al. (NO) adopt a #data-driven approach using #DNNs trained on synthetic #seismic to automatically extract 3D fault networks and characterize segment-scale attributes:

doi.org/10.1016/j.jsg.2025.105569

#paperalert #faultinterpretation

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A Comprehensive Survey on Knowledge Distillation

Amir M. Mansourian, Rozhan Ahmadi, Masoud Ghafouri et al.

Action editor: Changyou Chen

https://openreview.net/forum?id=3cbJzdR78B

#distillation #dnns #knowledge

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Leveraging AutoML for Sustainable Deep Learning: A Multi- Objective HPO Approach on Deep Shift Ne...

Leona Hennig, Marius Lindauer

Action editor: Christopher Mutschler

https://openreview.net/forum?id=vk7b11DHcW

#deep #dsnns #dnns

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Towards Undistillable Models by Minimizing Conditional Mutual Information

Linfeng Ye, Shayan Mohajer Hamidi, EN-HUI YANG

Action editor: Hanwang Zhang

https://openreview.net/forum?id=jVABSsD4Vf

#dnn #dnns #knowledge

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Amnexia 9th Birthday: ECZODIA, Linds, DNNS, Nikolina | Kilomètre25 | Tickets | SESH.sx Amnexia 9th Birthday is set to transform Kilomètre25, a renowned underground venue in France, into an electronic music haven. This event boasts a captivating li

Amnexia 9th Birthday: ECZODIA, Linds, DNNS, Nikolina @ Kilomètre25 - 23 Aug feat. ECZODIA, Nikolina, DNNS + more

#SESH #ECZODIA #Nikolina #DNNS

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#ai #chatgpt #claude #gemini #grok #deepseek #alexa #copilot #vibecoding #LLMs #behaviortrees #cnns #transfomers #dnns #supervisedlearning #unsupervisedlearning #reinforcedlearning #aiart #ArtificialInteligence #nlp 🖕🐾

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Original post on fediscience.org

I am really proud to announce that our latest effort on showing the advantages of our analog/digital #neuromorphic spiking neural network chips in solving complex biomedical applications has just been published here: https://rdcu.be/ef5N0

The demonstrates that *small* *highly variable* and *low […]

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Stay tuned for #ARENA Symposium
Abstract Representations in Neural Architectures:
From Human Cognition to Artificial Intelligence

at #teap2025 on 12 March @goetheuni.bsky.social

#CognitiveScience #Neuroscience #AI #DNNs #KnowledgeRepresentation #Psychology #ComputationalNeuroscience

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SelfXit: An Unsupervised Early Exit Mechanism for Deep Neural Networks

Hossein KhademSohi, Mohammadamin Abedi, Yani Ioannou et al.

Action editor: Evan Shelhamer

https://openreview.net/forum?id=h4rUKKfl5S

#dnns #dnn #exit

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Overcoming the Stability Gap in Continual Learning

Md Yousuf Harun, Christopher Kanan

Action editor: Yingbin Liang

https://openreview.net/forum?id=o2wEfwUOma

#continual #retraining #dnns

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Interpretable AI in scientific applications: Bayesian pyramids_12/4/2024

It was our honor to host Dr. David Dunson at Vanderbilt yesterday. His presentation can be viewed at mediasite.app.vumc.org/Mediasite/Pl.... Our apologies to those who attempted to watch it via the livestream, which encountered technical difficulties. #AI #Bayesian #LLMs #DNNs

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Headshot of man with glasses in white/brown plaid shirt. Text: Vanderbilt Biostatistics Seminar // Wednesday, December 4 // 1:30 CT // David Dunson, PhD, Arts and Sciences Distinguished Professor of Statistical Science, Duke University

Headshot of man with glasses in white/brown plaid shirt. Text: Vanderbilt Biostatistics Seminar // Wednesday, December 4 // 1:30 CT // David Dunson, PhD, Arts and Sciences Distinguished Professor of Statistical Science, Duke University

Save the date: David Dunson, Duke professor & winner of the COPSS Presidents’ Award & other honors, talks about interpretable AI in scientific apps – specifically Bayesian pyramids: Nashville and online on 12/4. www.vumc.org/biostatistic... #LLMs #DNNs #VUMCbiostat #neuroscience #MachineLearning

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ScienceDirect

Deep neural network models of sensory systems: windows onto the role of task constraints www.sciencedirect.com/science/article/pii/S095... I bet #DNNs can do a better job than most blind humans of seeing with sound with The vOICe: just perform a spectrographic...

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