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Publications associées (250)

Towards the Development of Orally Available Peptide Therapeutics

Peptides have a number of attractive properties that make them an interesting modality for drug development, including their ability to bind challenging targets, their high target specificity, and their non-toxic metabolic products. However, a major limita ...

2021

Where Electrophile Signaling and Covalent Ligand-Target Mining Converge

Yimon Aye

Interests in learning how to engineer most effective covalent ligands, identify novel functional targets, and define precise mechanism-of-action are rapidly growing in both academia and pharmaceutical industries. We here illuminate the establishment of a m ...

SWISS CHEMICAL SOC2020

Personalizable intervention systems to promote healthy behavior change

Igor Kulev

Adopting healthy behaviors can prevent the onset of many adverse health conditions. However, behavior changes are difficult to make, and often, people who like to improve their behaviors do not know how to do that. Personalizable intervention systems could ...

EPFL2020

Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals

Pascal Fua, Pavan P Ramdya, Helge Jochen Rhodin, Semih Günel, Siyuan Li, Mirela Ostrek

Our goal is to capture the pose of neuroscience model organisms, without using any manual supervision, to be able to study how neural circuits orchestrate behaviour. Human pose estimation attains remarkable accuracy when trained on real or simulated datase ...

2020

Optimal target assignment for massive spectroscopic surveys

Denis Gillet, Jean-Paul Richard Kneib, Matin Macktoobian

Robotics have recently contributed to cosmological spectroscopy to automatically obtain the map of the observable universe using robotic fiber positioners. For this purpose, an assignment algorithm is required to assign each robotic fiber positioner to a t ...

2020

Unsupervised Representation Learning for Gaze Estimation

Jean-Marc Odobez, Yu Yu

Although automatic gaze estimation is very important to a large variety of application areas, it is difficult to train accurate and robust gaze models, in great part due to the difficulty in collecting large and diverse data (annotating 3D gaze is expensiv ...

IEEE2020

Automated Essay Scoring in Foreign Language Students Based on Deep Contextualised Word Representations

Martin Jaggi, Bojana Rankovic

We introduce a method for automated grading of handwritten essays written by foreign language learners of French. The handwriting recognition system allows digitising the essays for further processing and functions at a low character error rate. The transc ...

2020

Generating Sparse Stochastic Processes Using Matched Splines

Michaël Unser, Leello Tadesse Dadi, Shayan Aziznejad

We provide an algorithm to generate trajectories of sparse stochastic processes that are solutions of linear ordinary differential equations driven by Levy white noises. A recent paper showed that these processes are limits in law of generalized compound-P ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Biotechnologies to tackle the challenge of neoantigen identification

Philippe Renaud, George Coukos, Margaux Catherine Marie Duchamp, Alexandre Harari, Marion Arnaud

Among immune correlates of clinical responses, tumor-specificneoantigens took the spotlight as relevant targets for cancerimmunotherapy. The implementation of pipelines forpersonalized cancer therapy remains challenging due to theprivacy, that is patient-s ...

2020

Correlating Twitter Language with Community-Level Health Outcomes

Martin Jaggi, Arno Schneuwly

We study how language on social media is linked to diseases such as atherosclerotic heart disease (AHD), diabetes and various types of cancer. Our proposed model leverages state-of-the-art sentence embeddings, followed by a regression model and clustering, ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2019

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