Asia
Towards Robust Detection of Adversarial Examples
Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu
Neural Information Processing Systems http://nips.cc/
Invertibility of Convolutional Generative Networks from Partial Measurements
Fangchang Ma, Ulas Ayaz, Sertac Karaman
Neural Information Processing Systems http://nips.cc/
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
We contend that utilizing existing relational databases is a promising approach to construct a benchmark that has both merits.
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
Oren Mangoubi, Nisheeth Vishnoi
Neural Information Processing Systems http://nips.cc/
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm Van Seijen, Mehdi Fatemi, Arash Tavakoli
Weproveconvergence for this method under standard assumptions and demonstrate empirically that it indeed enables lowerdiscount factors forapproximate reinforcement-learning methods.
Face Reconstruction from Voice using Generative Adversarial Networks
Yandong Wen, Bhiksha Raj, Rita Singh
Neural Information Processing Systems http://nips.cc/
The Randomized Midpoint Method for Log-Concave Sampling
Neural Information Processing Systems http://nips.cc/
Practical Methods for Graph Two-Sample Testing
Debarghya Ghoshdastidar, Ulrike von Luxburg
We demonstrate the practical merits and limitations of existing theoretical tests and their bootstrapped variants.