New #TMLR-Paper-with-Video:

Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individua...

Radman Rakhshandehroo, Daniel Coombs

https://tmlr.infinite-conf.org/paper_pages/yPEASsx3hk

#reinforcement #reward #epidemic

New #TMLR-Paper-with-Video:

The Role of Feature Interactions in Graph-based Tabular Deep Learning

Elias Dubbeldam, Reza Mohammadi, Marit Schoonhoven, Ilker Birbil

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

#attention #neural #networks

New #TMLR-Paper-with-Video:

CodePDE: An Inference Framework for LLM-driven PDE Solver Generation

Shanda Li, Tanya Marwah, Junhong Shen et al.

https://tmlr.infinite-conf.org/paper_pages/eG3Qy5Oux6

#solvers #solver #codepde

New #TMLR-Paper-with-Video:

Making Video Models Adhere to User Intent with Minor Adjustments

Daniel Ajisafe, Eric Hedlin, Helge Rhodin, Kwang Moo Yi

https://tmlr.infinite-conf.org/paper_pages/Opvq2wfBR5

#attention #focus #foreground

New #TMLR-Paper-with-Video:

Semi-Supervised Cross-Domain Imitation Learning

Li-Min Chu, Kai-Siang Ma, Ming-Hong Chen, Ping-Chun Hsieh

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

#imitation #supervised #learning

New #TMLR-Paper-with-Video:

DOME: Distributed Online Learning based Multi-Estimate Fusion for Cooperative Predictive Target Trac...

Shubhankar Gupta, Saksham Sharma, Suresh Sundaram

https://tmlr.infinite-conf.org/paper_pages/aF5PHD6vll

#fusion #prediction #collaborative

New #TMLR-Paper-with-Video:

Lifelong Open-Ended Probability Predictors

Omid Madani

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

#streams #prediction #queue

New #TMLR-Paper-with-Video:

A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata

Martin Spitznagel, Janis Keuper

https://tmlr.infinite-conf.org/paper_pages/NRwjj0ZLq0

#automata #cellular #networks

New #TMLR-Paper-with-Video:

Watermarking Degrades Alignment in Language Models: Analysis and Mitigation

Apurv Verma, Hai Phan, Shubhendu Trivedi

https://tmlr.infinite-conf.org/paper_pages/w2ATKQcfWx

#watermarking #watermark #watermarked

New #TMLR-Paper-with-Video:

E$^2$M: Double Bounded $\alpha$-Divergence Optimization for Tensor-based Discrete Density Estimation

Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup

https://tmlr.infinite-conf.org/paper_pages/954CjhXSXL

#tensor #divergence #optimization

New #TMLR-Paper-with-Video:

Variational Visual Question Answering for Uncertainty-Aware Selective Prediction

Tobias Jan Wieczorek, Nathalie Daun, Mohammad Emtiyaz Khan, Marcus Rohrbach

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

#variational #visual #multimodal

New #TMLR-Paper-with-Video:

On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generali...

Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro, Julia Kempe

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

#adversarial #regularization

New #TMLR-Paper-with-Video:

Unlocking [CLS] Features for Continual Post-Training

Murat Onur Yildirim, Elif Ceren Gok Yildirim, Joaquin Vanschoren

https://tmlr.infinite-conf.org/paper_pages/OWfWyj6krc

#learning #forgetting #classifier

New #TMLR-Paper-with-Video:

Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models

Inés Gonzalez Pepe, Hiba Akhaddar, Tristan Glatard, Yohan Chatelain

https://tmlr.infinite-conf.org/paper_pages/0ogq232VGP

#pytorch #numerical #rounding

New #TMLR-Paper-with-Video:

Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes

Kevin Jatin Vora, Yu Zhang

https://tmlr.infinite-conf.org/paper_pages/u2b31c9Noe

#reinforcement #reward #learning

New #TMLR-Paper-with-Video:

One-Bit Distributed Mean Estimation with Unknown Variance

Ritesh Kumar, Shashank Vatedka

https://tmlr.infinite-conf.org/paper_pages/g95C4zIEPg

#estimation #estimate #distributed

New #TMLR-Paper-with-Video:

Learning and Transferring Physical Models through Derivatives

Alessandro Trenta, Andrea Cossu, Davide Bacciu

https://tmlr.infinite-conf.org/paper_pages/IbBCDDeDF7

#learning #models #derivatives

New #TMLR-Paper-with-Video:

A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation

Xinjie Liu, Cyrus Neary, Kushagra Gupta et al.

https://tmlr.infinite-conf.org/paper_pages/zAo0L7Dcqt

#reinforcement #reinforce #trained

New #TMLR-Paper-with-Video:

Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers

M Yashwanth, Sharannya Ghosh, Aditay Tripathi, Anirban Chakraborty

https://tmlr.infinite-conf.org/paper_pages/gO1CpPRj6A

#prompts #prompt #contextualized

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