New #TMLR-Paper-with-Video:

Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks

Alexandros Doumanoglou, Kurt Driessens, Dimitrios Zarpalas

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

#decoding #autoencoder #representations

New #TMLR-Paper-with-Video:

Multiscale Training of Convolutional Neural Networks

Shadab Ahamed, Niloufar Zakariaei, Eldad Haber, Moshe Eliasof

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

#multiscale #cnn #cnns

New #TMLR-Paper-with-Video:

Gaga: Group Any Gausians via 3D-aware Memory Bank

Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang

https://tmlr.infinite-conf.org/paper_pages/cC1TLyK3iW

#3d #gaga #scenes

New #TMLR-Paper-with-Video:

HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs

Tin Nguyen, Logan Bolton, Mohammad Reza Taesiri, Trung Bui, Anh Totti Nguyen

https://tmlr.infinite-conf.org/paper_pages/abm6pDTbT1

#prompting #supervised #reasoning

New #TMLR-Paper-with-Video:

ECLipsE-Gen-Local: Efficient Compositional Local Lipschitz Estimates for Deep Neural Networks

Yuezhu Xu, S Sivaranjani

https://tmlr.infinite-conf.org/paper_pages/CuqnFjeu5a

#neural #networks #lipschitz

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

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

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

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

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

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

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

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

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

🎉 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