Papers
Conformal Prediction Sets Can Cause Disparate Impact
Jesse C. Cresswell, Bhargava Kumar, Yi Sui et al.
Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
Eunseop Yoon, Hee Suk Yoon, Mark A. Hasegawa-Johnson et al.
The Foundations of Tokenization: Statistical and Computational Concerns
Juan Luis Gastaldi, John Terilla, Luca Malagutti et al.
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang, Juyong Jiang, Chansung Park et al.
Towards Scalable Topological Regularizers
Wong Hiu Tung, Darrick Lee, Hong Yan
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning
Ruiqi Ni, zherong pan, Ahmed H Qureshi
The OMG dataset: An Open MetaGenomic corpus for mixed-modality genomic language modeling
Andre Cornman, Jacob West-Roberts, Antonio Pedro Camargo et al.
Associative memory and dead neurons
Vladimir Fanaskov, Ivan Oseledets
What should a neuron aim for? Designing local objective functions based on information theory
Andreas Christian Schneider, Valentin Neuhaus, David Alexander Ehrlich et al.
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le, Jerome Malick
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
Tristan Tomilin, Meng Fang, Mykola Pechenizkiy
Separation Power of Equivariant Neural Networks
Marco Pacini, Xiaowen Dong, Bruno Lepri et al.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space
Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas et al.
Feature-Based Online Bilateral Trade
Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni et al.
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf et al.
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
Nian Ran, Peng Xiao, Yue Wang et al.
Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators
Wentao Zhang, Junliang Guo, Tianyu He et al.
Going Beyond Static: Understanding Shifts with Time-Series Attribution
Jiashuo Liu, Nabeel Seedat, Peng Cui et al.
Gramian Multimodal Representation Learning and Alignment
Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo et al.
ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset
Kartik Thakral, Rishabh Ranjan, Akanksha Singh et al.
An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression
Xiang Liu, Bin Chen, Zimo Liu et al.
S4M: S4 for multivariate time series forecasting with Missing values
Peng Jing, Meiqi Yang, Qiong Zhang et al.
Flow: Modularized Agentic Workflow Automation
Boye Niu, Yiliao Song, Kai Lian et al.
Instant Policy: In-Context Imitation Learning via Graph Diffusion
Vitalis Vosylius, Edward Johns
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Yeoreum Lee, Jinwook Jung, Sungyong Baik