Andrei C. Coman

Applied Scientist at TR Labs

[Idiap Research Institute @Idiap_ch]

⏰ We're ready for Idiap's upcoming Perspectives on #AI event and very much look forward to listening to our guest speakers🔍
Register now
▶️https://t.co/asbhUfdmOj

Full program
▶️https://t.co/yPqlX9murH

[Antoine Bosselut @ABosselut]

The next few years are going to be critical for setting the norms for safe deployment and societal integration of AI.

We've launched the #SwissAI initiative to meet this challenge.

[Alireza Mohammadshahi @alireza_mshi]

Are Transformers graph-to-graph models?

In our #EMNLP2023 (BigPicture) #NLProc paper, we argue that attention weights and graph structure edges are effectively the same thing.

Link: https://t.co/Nx5STFboHq
Code: https://t.co/D0y1X2EsJf

[Idiap Research Institute @Idiap_ch]

As #AI technologies reach everyday new performances, their #energy cost is also increasing significantly.
Our researchers are proposing a novel approach to address this challenge during a period of rising #EnergyCosts.
About more cost effective AI
▶️https://t.co/59qDX1nyM4

[Andrea Cavallaro @smartcameras]

5 #postdoc openings @Idiap_ch on
Neuro-symbolic learning & reasoning
Multilingual natural language proc.
Large language models
Generative #AI & large language models
Computational biology
w/ @RLuisier @LonnekePlas @andrenfreitas @DamienTeney

https://t.co/KVWgODkYX8
pls RT

[Idiap Research Institute @Idiap_ch]

New #JobOpening ❗️
Our Computation, Cognition, and Language group is looking for a #postdoc to complement its cross-disciplinary team for a duration of 2 years. This position is under the supervision of Lonneke van der Plas.
Find out more and apply now
▶️https://t.co/Zm2PLgUqBy

[Steve Azzolin @steveazzolin]

Our work about explaining GNNs via Logic has been accepted at #ICLR2023 🎉

While waiting for the conference, you can check out my talk here https://t.co/2ecvzEAvr7

https://t.co/5QLrEBM8PG
@AntonioLonga94 @pietro_barbiero @pl219_Cambridge @andrea_whatever

[Alireza Mohammadshahi @alireza_mshi]

🤗🚨 The demo of SMaLL-100 model is now available on HF space: https://t.co/St0PBuYRPH

#MT #NLProc
@naverlabseurope @Idiap_ch

[James Henderson @JamieBHenderson]

I am excited to announce our @iclr_conf 2023 paper:
"A VAE for Transformers with Nonparametric Variational Information Bottleneck"
https://t.co/2LIMCaxMJF
We propose to model Transformer embeddings as nonparametric mixture distributions using Dirichlet processes. @FabioFehr

[Fabio J Fehr @FabioFehr]

I am very excited to announce my first paper towards my PhD has been accepted at @iclr_conf 2023 in Kigali, Rwanda!

"A VAE for Transformers with Nonparametric Variational Information Bottleneck"

@JamieBHenderson @Idiap_ch

https://t.co/C2bVHD199v
https://t.co/dTGIhm0ROf

[Rexhina Blloshmi @rexhina_b]

Attending #EMNLP2022, the first in-person conference as an #Amazonian—looking to meet anyone interested in different flavors of QA, intern positions with my team at Alexa (semi-structured QA) and anything cool you have done so far! @AmazonScience @alexa99 #NLProc

[Damien Teney @DamienTeney]

I have an opening for a 6-month internship at Idiap in Switzerland. MSc/PhD students/postdocs. Expertise should be a close match with our current work e.g. vision/language, OOD generalization, domain adaptation, causal representation learning... Questions/applications by email!

[Idiap Research Institute @Idiap_ch]

We are #hiring ❗️

We invite applications for 2 #PhD and 2 #Postdoc Positions to join our #RobotLearning & Interaction group.
This position is under the supervision of Dr. Sylvain Calinon.

To apply or find out more
PhD ▶️ https://t.co/P8uwvV4jh0
Postdoc ▶️https://t.co/iRFco1ogrP

[Idiap Research Institute @Idiap_ch]

Our colleagues Florian Mai , Arnaud Pannatier , Fabio James Fehr , Haolin Chen , François Marelli , François Fleuret and James Henderson are glad to share their new academic writing.

Find out more about their work ⬇️

[François Fleuret @francoisfleuret]

TL;DR: we propose an MLP-Mixer whose parameters are modulated by an MLP. It avoids the O(T^2), captures long-range dependencies attention-style, and is easier to meta-optimize!

With @_florianmai, @ArnaudPannatier, @fabiofehr, H. Chen, F. Marelli, and @JamieBHenderson.

[AK @_akhaliq]

HyperMixer: An MLP-based Green AI Alternative to Transformers
abs: https://t.co/WFl3X7htUZ

[Andrei C. Coman @AndreiCComan]

@KarimiRabeeh @MetaAI @myazdani999 @LukeZettlemoyer @vesko_st @JamieBHenderson @marzieh_saeidi Congrats Rabeeh!

[Christos Theodoropoulos @ChristosTheo42]

Can we enforce (knowledge) structure to a text encoder using the Contrastive Learning paradigm?
In our #CoNLL2021 paper we address the research question.

Co-authors: @JamieBHenderson , @AndreiCComan , M.F Moens
📖: https://t.co/Cll5Dld6Xk…
💻: https://t.co/vVKLLSV5y6…

#IE

[visp @wrwagox]

NLP students, look out for openings. We now have multiple core NLP groups, plus several that work on multi-disciplinary problems including NLP, with group heads that are very driven and able. @Idiap_ch is currently growing into one of the strongest #NLProc labs in Europe.

[Rabeeh Karimi @KarimiRabeeh]

Today at #ACL2021NLP - Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
If at ACL, come talk to us with @seb_ruder @m__dehghani @JamieBHenderson !

Date: Monday, 2 August 2021
Time: 11:20 UTC - 11:30 UTC
Session: https://t.co/M4EsZSF1ww