Andre Bauer
13 papers 61 citations h-index 3 2023–2026
Oil & Water? Diffusion of AI Within and Across Scientific Fields
This study empirically investigates claims of the increasing ubiquity of artificial intelligence (AI) within roughly 80 million research publications across 20 diverse scientific fields, by...
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism
Transformer-based Large Language Models (LLMs) are the state-of-the-art for natural language tasks. Recent work has attempted to decode, by reverse engineering the role of linear layers, the...
Evaluating Kubernetes Performance for GenAI Inference: From Automatic Speech Recognition to LLM Summarization
As Generative AI (GenAI), particularly inference, rapidly emerges as a dominant workload category, the Kubernetes ecosystem is proactively evolving to natively support its unique demands. This...
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
Deep learning methods are transforming research, enabling new techniques, and ultimately leading to new discoveries. As the demand for more capable AI models continues to grow, we are now entering...
Efficient Privacy-Preserving Recommendation on Sparse Data using Fully Homomorphic Encryption
In today's data-driven world, recommendation systems personalize user experiences across industries but rely on sensitive data, raising privacy concerns. Fully homomorphic encryption (FHE) can...
Core Hours and Carbon Credits: Incentivizing Sustainability in HPC
Realizing a shared responsibility between providers and consumers is critical to manage the sustainability of HPC. However, while cost may motivate efficiency improvements by infrastructure...
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field
In many areas of decision-making, forecasting is an essential pillar. Consequently, many different forecasting methods have been proposed. From our experience, recently presented forecasting...
Proactive Routing to Interpretable Surrogates with Distribution-Free Safety Guarantees
Model routing determines whether to use an accurate black-box model or a simpler surrogate that approximates it at lower cost or greater interpretability. In deployment settings, practitioners...
Addressing Reproducibility Challenges in HPC with Continuous Integration
The high-performance computing (HPC) community has adopted incentive structures to motivate reproducible research, with major conferences awarding badges to papers that meet reproducibility...
Object Proxy Patterns for Accelerating Distributed Applications
Workflow and serverless frameworks have empowered new approaches to distributed application design by abstracting compute resources. However, their typically limited or one-size-fits-all support...
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing
Scientific research increasingly relies on distributed computational resources, storage systems, networks, and instruments, ranging from HPC and cloud systems to edge devices. Event-driven...
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS
Application energy efficiency can be improved by executing each application component on the compute element that consumes the least energy while also satisfying time constraints. In principle,...
Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection
With the advent of Transformers, time series forecasting has seen significant advances, yet it remains challenging due to the need for effective sequence representation, memory construction, and...