New #TMLR-Paper-with-Video:

CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents

Adhiraj Banerjee, Vipul Arora

https://tmlr.infinite-conf.org/paper_pages/r63GX9hKhC

#audiosep #audio #codecsep

New #TMLR-Paper-with-Video:

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic

Siqi Zeng, Yifei He, Meitong Liu et al.

https://tmlr.infinite-conf.org/paper_pages/zkc7u3mIaE

#basis #bases #tasks

New #TMLR-Paper-with-Video:

D-Garment: Physically Grounded Latent Diffusion for Dynamic Garment Deformations

Antoine Dumoulin, Adnane Boukhayma, Laurence Boissieux et al.

https://tmlr.infinite-conf.org/paper_pages/NrPyio1aUK

#garment #mesh #cloth

New #TMLR-Paper-with-Video:

Causally-Aware Information Bottleneck for Domain Adaptation

Mohammad Ali Javidian

https://tmlr.infinite-conf.org/paper_pages/TbcqPEgJ9z

#causal #causally #bottleneck

New #TMLR-Paper-with-Video:

Graph Generation via Temporal-Aware Biased Walks

Resul Tugay, Eren Olug, Elif Ak, Kiymet Kaya, Şule Gündüz Öğüdücü

https://tmlr.infinite-conf.org/paper_pages/lDnMlhk3aw

#networks #graphs #nodes

New #TMLR-Paper-with-Video:

Using RKHS Weight Functions in Random Feature Models

Gabriel Dubé, Mario Marchand, Frédéric LeBlanc

https://tmlr.infinite-conf.org/paper_pages/BCNPJ3WRVI

#rkhs #stochastic #learning

New #TMLR-Paper-with-Video:

Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown

Sandra Gómez-Gálvez, Tobias Olenyi, Gillian Dobbie, Katerina Taskova

https://tmlr.infinite-conf.org/paper_pages/DONqw1KhHq

#overfitting #accuracy #neural

New #TMLR-Paper-with-Video:

Interpreting Kolmogorov-Arnold Networks in Neuroimaging: A Path-Based Attribution Framework

Suhrud Murthy, Venkatesh Babu Radhakrishnan, Neelam Sinha

https://tmlr.infinite-conf.org/paper_pages/cPtKpNdYc2

#networks #attributions #classification

New #TMLR-Paper-with-Video:

GriDiT: Factorized Grid-Based Diffusion for Efficient Long Image Sequence Generation

Snehal Singh Tomar, Alexandros Graikos, Arjun Krishna, Dimitris Samaras, Klaus Mueller

https://tmlr.infinite-conf.org/paper_pages/QLD47Ou5lp

#generative #frames #attention

New #TMLR-Paper-with-Video:

Divide and Conquer: Selective Value Learning and Policy Optimization for Offline Safe Reinforcement ...

Jiahui Zhu, Lei Ying, Honghao Wei

https://tmlr.infinite-conf.org/paper_pages/4KYrv6qYMl

#reinforcement #learns #reward

New #TMLR-Paper-with-Video:

Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Sep...

Santiago Amaya-Corredor, Miguel Calvo-Fullana, Anders Jonsson

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

#learns #coordinated #constraints

New #TMLR-Paper-with-Video:

LARP: Learner-Agnostic Robust Data Prefiltering

Kristian Minchev, Dimitar Iliev Dimitrov, Nikola Konstantinov

https://tmlr.infinite-conf.org/paper_pages/gI6VOV3jfO

#prefiltering #learning #learners

New #TMLR-Paper-with-Video:

From Clutter to Clarity: Visual Recognition through Foveated Object-Centric Learning (FocL)

Amitangshu Mukherjee, Deepak Ravikumar, Kaushik Roy

https://tmlr.infinite-conf.org/paper_pages/kVS7sMlv7P

#attention #memorization #focus

New #TMLR-Paper-with-Video:

CP-POL + PPI: Conformal Guarantees in Partially-Observed Label Space

Christian NGNIE

https://tmlr.infinite-conf.org/paper_pages/GEy2BtBQKa

#labeled #estimation #prediction

New #TMLR-Paper-with-Video:

Design Criteria for SGD Preconditioners: Local Conditioning, Noise Floors, and Basin Stability

Mitchell T. Scott, Tianshi Xu, Ziyuan Tang et al.

https://tmlr.infinite-conf.org/paper_pages/vo8FOBt6f6

#sgd #minimizer #gradient

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