💬 AI for Good Webinar Series 'From Molecules to Models' - today with Daniel Cremers on convolutional networks beyond the Euclidean space.

📅 Nov 12th
🕓 17:00-18:00 CET

🔗 Registration: https://bit.ly/488vzRq
ℹ️ More info: https://bit.ly/47Qclim

@dcremers.bsky.social; @tumunich.bsky.social

It is Temporal Convolutional Network, not RL.

Chenping Pei, Fadi Dornaika, Jingjun Bi
MCFCN: Multi-View Clustering via a Fusion-Consensus Graph Convolutional Network
https://arxiv.org/abs/2511.05554

Pouya Shiri, Amirali Baniasadi
Convolutional Fully-Connected Capsule Network (CFC-CapsNet): A Novel and Fast Capsule Network
https://arxiv.org/abs/2511.05617

Ali Abbasian Ardakani, Afshin Mohammadi, Alisa Mohebbi, ...
From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusion Models in Ovarian Masses
https://arxiv.org/abs/2511.06282

The #CDSM2025 is coming up tomorrow: www.causalscience.org. Mara Mattes will present our joint work with Jannis Kueck on learning and testing the structure of interference effects in social networks - how the treatment of others affects one’s own outcomes - using graph convolutional autoencoders.

🧬🤖Join us tomorrow for @ellis.eu featured Webinar Series From Molecules to Models
📚Topic: Convolutional networks beyond the Euclidean space
🗓️12 Nov 2025
⏰17:00–18:00 CET
👩🏼‍🏫Speaker: Daniel Cremers
📍Host: AI for Good
🔗 loom.ly/59wBduk

BridgeVoC, a diffusion vocoder, views vocoding as audio restoration using the Schrodinger bridge framework; employs a subband-aware convolutional diffusion network and omnidirectional distillation loss for efficient, high-quality audio generation.

💡Deep Learning verändert die Werkstoffanalyse. In der Online-Fortbildung am 23.–27.02.2026 lernen Sie, Convolutional Neural Networks praxisnah für Klassifikation und Segmentierung einzusetzen. Jetzt anmelden 👉 #68d5023d4d349_nav4d349_nav" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">https://dgm.de/akademie/events/deep-learning-2026#68d5023d4d349_nav

Kao, Rho, Lazarev, Cho, Xing, Shin, Kuo, Woo: Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation https://arxiv.org/abs/2511.06163 https://arxiv.org/pdf/2511.06163 https://arxiv.org/html/2511.06163

Amin Golnari, Jamileh Yousefi, Reza Moheimani, Saeid Sanei: QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification https://arxiv.org/abs/2511.05730 https://arxiv.org/pdf/2511.05730 https://arxiv.org/html/2511.05730

Ali Abbasian Ardakani, et al.: From ACR O-RADS 2022 to Explainable Deep Learning: Comparative Performance of Expert Radiologists, Convolutional Neural Networks, Vision Transformers, and Fusio... https://arxiv.org/abs/2511.06282 https://arxiv.org/pdf/2511.06282 https://arxiv.org/html/2511.06282

Pouya Shiri, Amirali Baniasadi: Convolutional Fully-Connected Capsule Network (CFC-CapsNet): A Novel and Fast Capsule Network https://arxiv.org/abs/2511.05617 https://arxiv.org/pdf/2511.05617 https://arxiv.org/html/2511.05617

Songhui Yue, Yang Shao, Sean Hayes: OntoTune: Ontology-Driven Learning for Query Optimization with Convolutional Models https://arxiv.org/abs/2511.06780 https://arxiv.org/pdf/2511.06780 https://arxiv.org/html/2511.06780

Chenping Pei, Fadi Dornaika, Jingjun Bi: MCFCN: Multi-View Clustering via a Fusion-Consensus Graph Convolutional Network https://arxiv.org/abs/2511.05554 https://arxiv.org/pdf/2511.05554 https://arxiv.org/html/2511.05554

#CMSpaper: Identification of tau leptons using a convolutional neural network with domain adaptation (arXiv:2511.05468) https://arxiv.org/abs/2511.05468 #Taus #TauLeptons

Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful life prediction
Read more: https://arxiv.org/html/2511.04723v1

The one I'm looking at now has reverb models like Concert Hall, Cathedral, Cave, Shimmer, ... all pretty standard reverb stuff. And then there's Orc Bakery. I know I've been out of the game for more than a decade, but I'm pretty sure that's not a standard algorithmic or convolutional reverb.

in Girls Frontline CN news
GFL adding Convolutional Kernel as permanent campaign
#girlsfrontline

[2025-11-10] 📚 Updates in #CLL

(1) Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration

🔍 More at researchtrend.ai/communities/CLL

[2025-11-10] 📚 Updates in #SupR

(1) Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration

🔍 More at researchtrend.ai/communities/SupR

Aupendu Kar, Krishnendu Ghosh, Prabir Kumar Biswas
Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration
https://arxiv.org/abs/2511.05421

CMS Collaboration: Identification of tau leptons using a convolutional neural network with domain adaptation https://arxiv.org/abs/2511.05468 https://arxiv.org/pdf/2511.05468 https://arxiv.org/html/2511.05468

Mohamadreza Akbari Pour, Mohamad Sadeq Karimi, Amir Hossein Mazloumi: Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful... https://arxiv.org/abs/2511.04723 https://arxiv.org/pdf/2511.04723 https://arxiv.org/html/2511.04723

Aupendu Kar, Krishnendu Ghosh, Prabir Kumar Biswas: Sharing the Learned Knowledge-base to Estimate Convolutional Filter Parameters for Continual Image Restoration https://arxiv.org/abs/2511.05421 https://arxiv.org/pdf/2511.05421 https://arxiv.org/html/2511.05421