Machine learning research with positive real-world impact.
Toronto
Joined September 2016
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Layer 6 AI retweeted
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning: arxiv.org/abs/2506.07918
Layer 6 AI retweeted
Can neural networks learn to map from observational datasets directly onto causal effects?
YES! Introducing CausalPFN, a foundation model trained on simulated data that learns to do in-context heterogeneous causal effect estimation, based on prior-fitted networks (PFNs). Joint work with @Layer6AI & @hamid_R_kamkar
w/ @_valthomas, Jeremy Ma, Benson Li, Jesse C. Cresswell, & @rahulgk
📝ArXiv: arxiv.org/abs/2506.07918
🔗Code: github.com/vdblm/CausalPFN/
🗣️Oral paper @ ICML SIM workshop
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Layer 6 AI retweeted
🚀 #ICLR2025 & #CHI2025 are just around the corner — and we’re excited to welcome you to our Bidirectional 👫Human-AI🤖 Alignment events!
🏅 "Golden Sponsors"🏅
A heartfelt thank you to our two generous Golden Sponsors: 🌟@Prolific and 🌟@Layer6AI of @TDBank_US!
Their support is making it possible for us to fund 13 travel grant recipients and 4-5 paper awards — stay tuned for our awards reveal at our #ICLR event!
🎤 Speaker Lineup🎤
We’re thrilled to welcome our amazing speakers:
🧠 In-person at ICLR: @_beenkim , @HungyiLee2, @Pavel_Izmailov, @RichardMCNgo
🧠 In-person at CHI: @bradamyers
🧠 Virtual via Zoom: @fraukolos, Dan Bohus
👏 Warm welcome to Tammy Masterson (Technical Partnerships Lead, @AISecurityInst, UK Government), joining us in person for our panel!
🧑💻 Organizer Team & Schedule🧑💻
Catch us in person at:
✨ ICLR: @ABosselut, @SLED_AI, @yangli169, and me
✨ CHI: @tknearem, @tongshuangwu, @lxieyang, @YunHuang_HCI
✨ Virtual host: @tanmit, Marti Hearst, @ziqiao_ma, @reshmigh
📅 Schedule & details: bialign-workshop.github.io/#…. Our all-day workshop will be streamed via Zoom, and virtual poster sessions via Slack. Links soon on our website!
📜 Accepted Papers📜
From over 100 submissions, we accepted 72 incredible papers!
📢 10 Orals, 62 Posters, 5 Tiny Papers
🏅Award winners will be announced during the workshop!
📚 Browse the full paper list here: bialign-workshop.github.io/#…
🎉 Can’t wait to connect and explore bidirectional human-AI alignment with you at #ICLR and #CHI!
@iclr_conf @acm_chi @uw_ischool @uwcse @michigan_AI
#BiAlign #HumanAIAlignment #ICLR #CHI✨
🚀 Are you passionate about #Alignment Research? Exciting news! Join us at the ICLR 2025 Workshop on 👫<>🤖Bidirectional Human-AI Alignment (April 27 or 28, Singapore). We're inviting researchers in AI, HCI, NLP, Speech, Vision, Social Science, and beyond domains to submit their work on alignment-related topics!
📄 Paper Formats: 2-page (tiny), 4-page (short), & 9-page (long)
🗓️ Key Dates: Tentative Submission Deadline: Feb 3, 2025 (AoE). Workshop Day: April 27 or 28, 2025
💠Topics:
🔸Position papers and roadmaps for alignment research
🔸Specifying human values, cognition, and societal norms
🔸RLHF and advanced algorithms, interactive/customizable alignment methods
🔸AI safety, interpretability, scalable oversight, and steerability
🔸Red teaming, benchmarks, metrics, and human evaluation for alignment
🔸Dynamic human-AI co-evolvement and societal impact
🌟Speakers: @_beenkim, @bradamyers, @fraukolos, @HungyiLee2, @RichardMCNgo, @danbohus, @Pavel_Izmailov
👫Organizers: @huashen218, @ziqiao_ma, @reshmigh, @tknearem, @lxieyang, @tongshuangwu, @andresmh, @Diyi_Yang, @ABosselut, @furongh, @tanmit, @sled_ai, Marti A. Hearst, @dawnsongtweets, @yangli169
✍️ Interested in joining our Program Committee to help review? Apply here! forms.gle/MapXyCZhbcFr9F246
Join us in advancing the Human-AI Alignment research together🌟!
#ICLR2025 #AIAlignment #HCI #NLP #Speech #ComputerVision
Layer 6 AI retweeted
Super proud of the @Layer6AI team, winning @recsyschallenge, besting top global tech companies and grad schools. (2016 winner was Alibaba) xitter.cf/recsyschallenge/status…
Congratulations to @Layer6AI to winning the #recsys2017 challenge and to all the top teams who participated! recsys.xing.com/leaders
Layer 6 AI retweeted
Seizing the #AI future. @globeandmail op ed I wrote w Geoff Hinton, @tjpoutanen, Rich Zemel & Ed Clark. theglobeandmail.com/report-o…
Layer 6 AI retweeted
Using #deeplearning @Layer6AI obtain more accurate models, less complex feature spaces, and is able to have many more inputs for #recsys2016 – at Cambridge, MA
Layer 6 AI retweeted
Congrats @JordanJacobs10 & CDL Mentor @tjpoutanen on the launch of their new #ai venture layer6.ai! One day old and already industry leading