Frédéric Odermatt

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 5

Top Topics

Ensemble Learning

Demand Forecasting

Machine Translation

Parallel Corpora

Top Venues

Publications

Young-Jin Park, Donghyun Kim, Frédéric Odermatt, Juho Lee, Kyung-Min Kim
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting. CoRR (2024)
Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Frédéric Odermatt, Kevin Brew, Injo Ok, Samuel Choi, Iqbal Saraf, Victor Chan, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian
Gradient descent-based programming of analog in-memory computing cores. CoRR (2023)
Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frédéric Odermatt, Ning Li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. CoRR (2023)
Frédéric Odermatt, Béni Egressy, Roger Wattenhofer
Cascaded Beam Search: Plug-and-Play Terminology-Forcing For Neural Machine Translation. CoRR (2023)
Young-Jin Park, Donghyun Kim, Frédéric Odermatt, Juho Lee, Kyung-Min Kim
A Large-Scale Ensemble Learning Framework for Demand Forecasting. ICDM (2022)