Marvin Alberts

Bio

Marvin is a PhD student jointly at IBM Research and the University of Zürich. His research focusses on multimodal language models applied to analytical chemistry. Before joining IBM he completed a Masters in Chemistry at Imperial College London.

Publications

Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
- - Marvin Alberts
  - Oliver Schilter
  - et al.
- 2024
- NeurIPS 2024
A Multimodal Transformer Model for comprehensive Structure Elucidation
- - Marvin Alberts
  - Oliver Schilter
  - et al.
- 2024
- ACS Fall 2024
Multimodal Transformer models for Structure Elucidation from Spectra
- - Marvin Alberts
  - Alain Vaucher
- 2024
- ACS Spring 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
- - Nicolas Deutschmann
  - Marvin Alberts
  - et al.
- 2024
- AAAI 2024
From Spectra to Structure: Automated structure elucidation for organic chemistry
- - Marvin Alberts
  - Teodoro Laino
  - et al.
- 2024
- DMCCB Basel Symposium 2024
Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation
- - Amol Thakkar
  - Andrea Giovannini
  - et al.
- 2023
- NeurIPS 2023
Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- NeurIPS 2023
Unveiling the Secrets of ¹H-NMR Spectroscopy: A Novel Approach Utilizing Attention Mechanisms
- - Oliver Schilter
  - Marvin Alberts
  - et al.
- 2023
- NeurIPS 2023
Automatic structure elucidation from NMR spectra
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- ACS Fall 2023
Automatic structure elucidation from IR spectra
- - Marvin Alberts
  - Teodoro Laino
  - et al.
- 2023
- ACS Fall 2023

Projects

Lab that Learns
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
AI for Scientific Discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation

Top collaborators

Teodoro Laino

Distinguished RSM, Manager

Federico Zipoli

Research Scientist

Matteo Manica

Senior Research Scientist

Jannis Born

Research Scientist in AI for Scientific Discovery