I’m thrilled to share that I’ll be joining @UCSDPsychology as an Assistant Professor starting in July 2024! 🎉✨ This job is truly a dream come true. I feel beyond lucky to join such a wonderful department and to have the chance to build my own lab. (1/3)

If a student reads a typical psychology paper, picks an experiment, and tries to replicate it, they have roughly a coin-flip chance of success. That's the punchline of a decade of metascience, and it's the focus of Ch 3 of Experimentology. 🧵

Very proud to share our @iclr_conf paper: TopoNets! High-performing vision and language models with brain-like topography! Expertly led by grad student @mayukh091 and @MainakDeb19! A brief thread..

Are you an aspiring or practicing academic who wants to learn R and python for free? Dr. Russ Poldrack @russpoldrack from @Stanford has a great introductory virtual book with freely accessible code. A🧵 of some of the topics included: @PhDVoice @AcademicChatter @OpenAcademics 1/n

Finally, I am pleased to announce 🪢Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)🪢 Joint work with Usha Bhalla, as well as @Suuraj, @FlavioCalmon, and @hima_lakkaraju, which was just accepted to NeurIPS 2024! Check out the paper here: arxiv.org/abs/2402.10376

In our new @NatureComms paper, we investigate the visual system's priorities for extracting meaningful information from faces and bringing it to conscious awareness. We use a new tachistoscope that enables visual presentations as short as 0.002 ms: nature.com/articles/s41467-0… (🧵👇)

Excited to present our #ECCV2024 paper on “Understanding Physical Dynamics with Counterfactual World Modeling” with @honglin_c, Kevin Feigelis, @recursus and @dyamins. Come by poster 260 at the exhibition area from 430-630pm today @eccvconf TLDR: We introduce Counterfactual World Modeling (CWM) — a visual world model that can be prompted to extract zero-shot vision structures such as keypoints, optical flow and segmentation. We demonstrate that these structures are useful for physical dynamics understanding, achieving state-of-the-art performance on the Physion intuitive physics benchmark. In our paper, we also discuss how CWM builds up scene understanding capabilities analogous to Pearl’s ladder of causation. We hope this will help provide a path to move towards a foundation model of vision with a causal understanding of the world. @yudapearl We’re eager to see others build on top of our work. Code, models and data can be found in the links below Project page: neuroailab.github.io/cwm-phy… Paper: arxiv.org/pdf/2312.06721 Github code: github.com/neuroailab/cwm_dy… Hugging face demo: huggingface.co/spaces/rmvenk… 1/🧵

Many of our featured faculty panelists are looking to accept students this cycle (@adenaschachner, @brialong, and @nadiabrashier to name a few), so it’s a chance to hear from them before you apply! Come spend two days learning about our program! We can’t wait to meet you! 3/4

Applying to Psych PhD programs? Considering applying to @UCSDPsychology? For the third year in a row, we’re hosting a two-day virtual event for prospective students on October 17th & 18th. You can register and view the schedule at diversifyingpsychology.ucsd.…. 1/4

do large-scale vision models represent the 3D structure of objects? excited to share our benchmark: multiview object consistency in humans and image models (MOCHI) with @xkungfu @YutongBAI1002 @thomaspocon @_yonifriedman @Nancy_Kanwisher Josh Tenenbaum and Alexei Efros 1/👀

Preprint alert! After 4 years, I’m super excited to share work with @TheCharleyWu @gershbrain @cpilab on the rise and fall of technological development in virtual communities in #OneHourOneLife #ohol 🧵👇 doi.org/10.31234/osf.io/tz4d…

Are you a psych grad student who wants to give a talk at Princeton, expenses paid? Nominate yourself or a colleague here! forms.gle/WN2ybYMuZiW3req38 Priority given to non-ivy schools and students from diverse backgrounds.

Our department is growing! Apply!!!

✨it's PhD application season again!✨ i am re-sharing my popular guide on applying for PhD programs in STEM, that has now been viewed 60k+ times over the past 6 years😍 please RT and share with anyone that might find it useful! lucylai.com/blog/gradapps

Come join us!!

What makes humans similar or different to AI? In a new study, led by @florianmahner and @lukas_mut and w/ @umuguc, we took a deep look at the factors underlying their representational alignment, with surprising results. arxiv.org/abs/2406.19087 🧵

Introducing LEVANTE, a project for measuring children's developmental and learning variability around the world! LEVANTE provides a measurement platform with data flowing to an open repository. Call for proposals coming soon from @Foundation_JF. levante-network.org/

Train models on real kid data, test them on real kid data! That’s how we learn about human cognition *and* find out more about how models learn. Check out this awesome new kid data benchmark:

What do preschool learning experiences look like? We examined variability in children’s language environments in a preschool classroom using a new dataset of naturalistic egocentric videos. 🧵 OSF: osf.io/preprints/psyarxiv/y7… 🔗: escholarship.org/uc/item/94j… @cogsci_soc #CogSci2024