Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Datasetby Will Taylor-Melanson,…
Double-Bounded Optimal Transport for Advanced Clustering and Classificationby Liangliang Shi, Zhaoqi Shen, Junchi YanFirst submitted…
Provably Scalable Black-Box Variational Inference with Structured Variational Familiesby Joohwan Ko, Kyurae Kim, Woo Chang…
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAEby Haonan Yu,…
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Headsby Tianle Cai, Yuhong Li, Zhengyang…
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approachby Aoqi Zuo, Yiqing Li,…
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluationby Janvi Thakkar, Giulio Zizzo, Sergio…
Comprehensive OOD Detection Improvementsby Anish Lakkapragada, Amol Khanna, Edward Raff, Nathan InkawhichFirst submitted to arxiv…
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compressionby Ho Fung Tsoi, Vladimir Loncar,…
Improving Local Training in Federated Learning via Temperature Scalingby Kichang Lee, Songkuk Kim, JeongGil KoFirst…