129 citations
- Freie Universität BerlinDE15 papers
- Rice UniversityUS14 papers
- Microsoft Research (United Kingdom)GB7 papers
- Center for Theoretical Biological PhysicsUS4 papers
- City University of Hong KongHK4 papers
- Microsoft (United States)US4 papers
- University of Science and Technology of ChinaCN4 papers
- University of Southern CaliforniaUS3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Institució Catalana de Recerca i Estudis AvançatsES2 papers
- Institute of Photonic SciencesES2 papers
14 papers · 1 filter
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
Maciej Majewski, Adrià Pérez, Philipp Thölke +7
A generalized understanding of protein dynamics is an unsolved scientific problem, the solution of which is critical to the interpretation of the structure-function relationships t…
Reinforcement learning optimization of the charging of a Dicke quantum battery
Paolo Andrea Erdman, Gian Marcello Andolina, Vittorio Giovannetti +1
Quantum batteries are energy-storing devices, governed by quantum mechanics, that promise high charging performance thanks to collective effects. Due to its experimental feasibilit…
Machine learning frontier orbital energies of nanodiamonds
Thorren Kirschbaum, Börries von Seggern, Joachim Dzubiella +2
Nanodiamonds have a wide range of applications including catalysis, sensing, tribology and biomedicine. To leverage nanodiamond design via machine learning, we introduce the new da…
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah +3
The need for emotional inference from text continues to diversify as more and more disciplines integrate emotions into their theories and applications. These needs include inferrin…
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion
Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah +3
Detecting emotions expressed in text has become critical to a range of fields. In this work, we investigate ways to exploit label correlations in multi-label emotion recognition mo…
Skipping the Replica Exchange Ladder with Normalizing Flows
Michele Invernizzi, Andreas Krämer, Cecilia Clementi +1
We combine replica exchange (parallel tempering) with normalizing flows, a class of deep generative models. These two sampling strategies complement each other, resulting in an eff…