Summary of A Theoretical Perspective on Mode Collapse in Variational Inference, by Roman Soletskyi et al.
A theoretical perspective on mode collapse in variational inferenceby Roman Soletskyi, Marylou Gabrié, Bruno LoureiroFirst…
Summary of Self-comparison For Dataset-level Membership Inference in Large (vision-)language Models, by Jie Ren et al.
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Modelsby Jie Ren, Kangrui Chen, Chen Chen,…
Summary of Gesubnet: Gene Interaction Inference For Disease Subtype Network Generation, by Ziwei Yang et al.
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generationby Ziwei Yang, Zheng Chen, Xin Liu,…
Summary of Aero: Softmax-only Llms For Efficient Private Inference, by Nandan Kumar Jha and Brandon Reagen
AERO: Softmax-Only LLMs for Efficient Private Inferenceby Nandan Kumar Jha, Brandon ReagenFirst submitted to arxiv…
Summary of In-context Kv-cache Eviction For Llms Via Attention-gate, by Zihao Zeng et al.
In-context KV-Cache Eviction for LLMs via Attention-Gateby Zihao Zeng, Bokai Lin, Tianqi Hou, Hao Zhang,…
Summary of Flash Inference: Near Linear Time Inference For Long Convolution Sequence Models and Beyond, by Costin-andrei Oncescu et al.
Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyondby Costin-Andrei Oncescu,…
Summary of Geometry-aware Generative Autoencoders For Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds, by Xingzhi Sun et al.
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifoldsby Xingzhi…
Summary of Recurformer: Not All Transformer Heads Need Self-attention, by Ruiqing Yan et al.
RecurFormer: Not All Transformer Heads Need Self-Attentionby Ruiqing Yan, Linghan Zheng, Xingbo Du, Han Zou,…
Summary of Explainable Moral Values: a Neuro-symbolic Approach to Value Classification, by Nicolas Lazzari et al.
Explainable Moral Values: a neuro-symbolic approach to value classificationby Nicolas Lazzari, Stefano De Giorgis, Aldo…
Summary of Counterfactual Generative Modeling with Variational Causal Inference, by Yulun Wu et al.
Counterfactual Generative Modeling with Variational Causal Inferenceby Yulun Wu, Louie McConnell, Claudia IriondoFirst submitted to…