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Grilled Cheese is a product of Village Compute

Version devBuilt at: 2026-10-17 13:34:13 EDT

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@tmlr-pub.bsky.socialOct 4, 2026, 12:30 PM

New #TMLR-Paper-with-Video:

$\texttt{SEM-CTRL}$: Semantically Controlled Decoding

Mohammad Albinhassan, Pranava Madhyastha, Alessandra Russo

https://tmlr.infinite-conf.org/paper_pages/ICUHKhOISN

#parsing #semantics #semantic

$\texttt{SEM-CTRL}$: Semantically Controlled Decoding
@tmlr-pub.bsky.socialOct 4, 2026, 8:30 AM

New #TMLR-Paper-with-Video:

Towards Online Multimodal Social Interaction Understanding

Xinpeng Li, Shijian Deng, Bolin Lai, Weiguo Pian, James Matthew Rehg, Yapeng Tian

https://tmlr.infinite-conf.org/paper_pages/5P7yVfUEuD

#multimodal #conversation #conversational

Towards Online Multimodal Social Interaction Understanding
@tmlr-pub.bsky.socialOct 4, 2026, 4:30 AM

New #TMLR-Paper-with-Video:

Model-Free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach

Han Wang, Leonardo Felipe Toso, Aritra Mitra, James Anderson

https://tmlr.infinite-conf.org/paper_pages/WSRQeCUc3g

#agents #federated #agent

Model-Free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach
@tmlr-pub.bsky.socialOct 4, 2026, 12:31 AM

New #TMLR-Paper-with-Video:

When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models

Raphaël Razafindralambo, Rémy Sun, Damien Garreau et al.

https://tmlr.infinite-conf.org/paper_pages/4iRx9b0Csu

#score_diffusion_ensemble #ensembles #ensembling

When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models
@tmlr-pub.bsky.socialOct 3, 2026, 8:30 PM

New #TMLR-Paper-with-Video:

GraphGini: Fostering Individual and Group Fairness in Graph Neural Networks

Anuj Kumar Sirohi, Anjali Gupta, Sandeep Kumar, Amitabha Bagchi, Sayan Ranu

https://tmlr.infinite-conf.org/paper_pages/IEVGBI9MiL

#graphgini #fairness #networks

GraphGini: Fostering Individual and Group Fairness in Graph Neural Networks
@tmlr-pub.bsky.socialOct 3, 2026, 4:30 PM

New #TMLR-Paper-with-Video:

SaFARi: State-Space Models for Frame-Agnostic Representation

Hossein Babaei, Mel White, Sina Alemohammad, Richard Baraniuk

https://tmlr.infinite-conf.org/paper_pages/UAgxU8gBtv

#frame #basis #representation

SaFARi: State-Space Models for Frame-Agnostic Representation
@tmlr-pub.bsky.socialOct 3, 2026, 12:30 PM

New #TMLR-Paper-with-Video:

Node Duplication Improves Cold-start Link Prediction

Zhichun Guo, Tong Zhao, Yozen Liu et al.

https://tmlr.infinite-conf.org/paper_pages/hIOTzz87N9

#nodedup #nodes #node

Node Duplication Improves Cold-start Link Prediction
@tmlr-pub.bsky.socialOct 3, 2026, 8:30 AM

New #TMLR-Paper-with-Video:

Explaining with trees: interpreting CNNs using hierarchies

Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman

https://tmlr.infinite-conf.org/paper_pages/zjyWZh5IiI

#cnns #interpretability #explanations

Explaining with trees: interpreting CNNs using hierarchies
@tmlr-pub.bsky.socialOct 3, 2026, 4:30 AM

New #TMLR-Paper-with-Video:

CXAD: Contrastive Explanations for Anomaly Detection: Algorithms, Complexity Results and Experiments

Ian Davidson, Nicolás Kennedy, S. S. Ravi

https://tmlr.infinite-conf.org/paper_pages/Tnwci2kLna

#outliers #explanations #outlier

CXAD: Contrastive Explanations for Anomaly Detection: Algorithms, Complexity Results and Experiments
@xuefengxu.bsky.socialSep 14, 2026, 12:02 AM

🎉 Paper accepted @tmlrorg.bsky.social 2026

📄 FedPS: Federated Preprocessing for structured data via aggregated Statistics

📌 TL;DR: A framework for preprocessing tabular data in federated learning

🔗 Project page: xuefeng-xu.github.io/research/fed...

🤝 Joint work with @grahamrc.bsky.social

#TMLR