Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI
The paper discusses the role of Bayesian Deep Learning (BDL) in the current deep learning research landscape….
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments
This article explores the use of shielding in reinforcement learning (RL) for continuous environments. Classical shielding approaches…
SLIM: Skill Learning with Multiple Critics
The article introduces SLIM, a multi-critic learning approach for skill discovery, particularly focusing on robotic manipulation. It…
Score-based Causal Representation Learning: Linear and General Transformations
This academic paper addresses the concepts of identifiability and achievability in the context of intervention-based causal representation…
Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations
The article discusses the use of Raman Spectroscopy in biotechnology as a process analytical technology. It focuses…
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields
The paper presents a new method called LTAU-FF for estimating the prediction uncertainty in atomistic force fields….
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
The paper introduces SymbolicAI, a framework that uses a logic-based approach for concept learning and flow management…
Early Time Classification with Accumulated Accuracy Gap Control
The research introduces a statistical framework for early time classification algorithms, which aim to label a stream…
Bit-flipping Decoder Failure Rate Estimation for (v,w)-regular Codes
This research paper introduces a new technique to accurately estimate the Decoder Failure Rate (DFR) of a…
WGAN-AFL: Seed Generation Augmented Fuzzer with Wasserstein-GAN
This research proposes WGAN-AFL, a method to improve the efficiency of vulnerability detection in software. The method…