Tristan

Hi everyone, I have a new paper about how to make planning agents avoid delusional subgoals, which will be discussed tomorrow at the NeurIPS SafeGenAI workshop (3-5 PM, in East Exhibition Hall A) Please drop by! #NeurIPS2024 #NeurIPS #AIsafety

@Entodi Congratulations Alex!

I was surprised to be recognized as one of the top reviewers for NeurIPS 2024!

👏 You're invited to the @RBCBorealis 2024 Fellowships Award Ceremony! Open to members of Montreal’s #AI community, this event will showcase the next generation of #research talent and foster valuable connections in Canada's AI ecosystem. 📨 Register now: lu.ma/x0m4f4sa

#Delusions AREN'T #hallucinations! Don't be confused! When agents can't reject some obviously wrong beliefs, despite conflicting evidence, delulus emerge; While, hallucination describes the formation of false beliefs. Delulus involve BOTH belief formation💡& evaluation🤔systems

Apply to be a Let's SOLVE It Scholar and work on problems that *you* care about with mentorship and resources from @BorealisAI! Find out what the mentees and mentors (incl. yours truly) have to say about the program 👇 jobs.rbc.com/ca/en/harness-…

🚀 Excited to present our latest research at ICLR! Dive into our paper on predicting global events: openreview.net/forum?id=COYDm… 📝 For an in-depth look, check out our new blog post on the subject: borealisai.com/research-blogs… #ICLR #MachineLearning #Research

Big news! @BorealisAI has 4️⃣ papers accepted to @iclr_conf 2024! We're also proud to share that this research was produced as part of our #ML research #internship program. Learn more: bit.ly/3PFJrJC Read our #ICLR2024 papers here ➡️ bit.ly/3Srmmfj

🚀 Exciting update from my team at @BorealisAI: Our paper, AutoCast++, has been accepted at #ICLR2024. Learn about our approach to improving event forecasting through LLMs and news analysis. 🌐 [openreview.net/pdf?id=COYDmKk…] #LanguageModels #EventForecasting

⏰ Clocks ticking... register for your FREE ticket to our Montreal Time Series event on Oct 12 at 5:30 pm ET. Expect a night of exciting research talks, networking and more. 🎟️ Join the meetup group and claim a ticket today:bit.ly/3RqbFcL

👥 Time Series Meetups are BACK! Join us at @BorealisAI's Montreal Lab on Oct 12 at 5:30 pm ET for networking, refreshments, and exciting research discussions. Join our meetup group and register today - spots are limited: bit.ly/3PB5q4u #timeseries #researchmeetup

Exciting news! Our paper "What Constitutes Good Contrastive Learning in Time-Series Forecasting?" got accepted to @IJCAIconf Workshop on AI for Time Series Analysis, happening this week. Check out our latest blog borealisai.com/research-blogs… to learn more about this work. #IJCAI2023

STUDENTS! Are you looking to gain #ML research experience and enhance your education? Do you want to work on real-life business challenges with a team of machine learning experts ready to support you? Apply for our Winter 2024 #Internships by Sept 4th: grnh.se/3dedfa0f2us.

Great to see @RBC rank #1 in the number of citations of AI papers! @BorealisAI has published in key #AI domains since 2016, leading to advancements in RBC products like AIDEN & NOMI. RBC also holds 8 of the top 10 most influential AI patents. Full report: evidentinsights.com/reports/eviden…

What a delightful community! Had a blast showing how AI and art can become our superpowers and encouraging creativity for a better world! ✨️🌎 Thanks for the opportunity @TEDxMIT !

Hi @ACRO_Police_CST , what is the SWIFT/BIC to pay for a certificate (immigration purposes)? Thanks

EVENT ALERT: On April 20, we're hosting our in-person Spring 2023 #Montreal Time Series Meetup! Join us at 5:30pm ET @IVADOlabs to hear the latest in #timeseries research, ask questions, network and much more. Register for your FREE ticket: meetup.com/montreal-time-…. #AI #ML

🚨#TimeSeries Blog: Deep learning architectures have improved time series modeling but labels are often unavailable, highlighting the need for alternative self-supervised learning methods. This blog discusses the benefits of using contrastive approaches: bit.ly/3hagIys.

New blog post is out: borealisai.com/research-blogs… In it, we discuss our new ICLR paper, Scaleformer, which applies multi-scale iterative refinement to time-series forecasting with transformers.

Join us on Feb 9th at noon ET for a broadcasted talk with Tristan Sylvain, ML Researcher at Borealis AI, about ICLR 2023 paper 'Scaleformer: Iterative Multi-scale Refining Transformers for TS Forecasting.' Keep up with the latest in #ML #timeseries. RSVP: bit.ly/3wFZ5dV.