332 citations
- IBM (United States)US24 papers
- Massachusetts Institute of TechnologyUS5 papers
- IBM Research - ZurichCH3 papers
- University of California, Los AngelesUS3 papers
- IBM Research - Thomas J. Watson Research CenterUS2 papers
- University of California, BerkeleyUS2 papers
- Austrian Academy of SciencesAT1 paper
- Berkeley CollegeUS1 paper
- Binghamton UniversityUS1 paper
- Boston Scientific (United States)US1 paper
- Brown UniversityUS1 paper
- California Institute of TechnologyUS1 paper
29 papers
Experimental implementation of a discrete-time quantum walk on biological networks
Viacheslav Dubovitskii, Filippo Utro, Aritra Bose +3
Quantum walks provide a versatile framework for probing the structural and dynamical properties of complex systems ranging from biological networks to synthetic materials. However,…
Language Model Representations for Efficient Few-Shot Tabular Classification
Inwon Kang, Parikshit Ram, Yi Zhou +2
The Web is a rich source of structured data in the form of tables, from product catalogs and knowledge bases to scientific datasets. However, the heterogeneity of the structure and…
When Thinking Pays Off: Incentive Alignment for Human-AI Collaboration
Joshua Holstein, Patrick Hemmer, Gerhard Satzger +1
Collaboration with artificial intelligence (AI) has improved human decision-making across various domains by leveraging the complementary capabilities of humans and AI. Yet, humans…
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka +66
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of i…
Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data
Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese +8
Urgent applications like wildfire management and renewable energy generation require precise, localized weather forecasts near the Earth's surface. However, forecasts produced by m…
Inference Plans for Hybrid Particle Filtering
Ellie Y. Cheng, Eric Atkinson, Guillaume Baudart +2
Advanced probabilistic programming languages (PPLs) using hybrid particle filtering combine symbolic exact inference and Monte Carlo methods to improve inference performance. These…