Atharva Sehgal
aseg.bsky.social
Atharva Sehgal
@aseg.bsky.social
PhD student at UT Austin working on program synthesis. Visiting student at Caltech.
Reposted by Atharva Sehgal
You’ve generated 10k concepts with your favorite XAI method -- now what? Many concepts you’ve found are fairly obvious and uninteresting. What if you could 𝑠𝑢𝑏𝑡𝑟𝑎𝑐𝑡 obvious concepts away and focus on the more complex ones? We tackle this in our latest preprint!
July 8, 2025 at 3:43 PM
Reposted by Atharva Sehgal
Deadline Extended!
Submit to the LM4Sci Workshop @ COLM 2025 in Montreal 🇨🇦

🧠 Large Language Modeling for Scientific Discovery (LM4Sci)
📅 New Deadline: June 30
📢 Notification: July 24
📍 Workshop: Oct 10, 2025

📝 Non-archival short (2–4p) & full (up to 8p) papers welcome!
June 22, 2025 at 9:37 PM
Reposted by Atharva Sehgal
🚨 Call for Papers: LM4Sci @COLM_conf 2025 🚨

Excited to announce the Large Language Modeling for Scientific Discovery (LM4Sci) workshop at COLM 2025 in Montreal, Canada!

Submission Deadline: June 23
Notification: July 24
Workshop: October 10, 2025
June 14, 2025 at 12:03 AM
I’m presenting Escher (trishullab.github.io/escher-web) at #cvpr2025 Saturday morning (Poster Session #3). Escher builds a visual concept library with a vision‑language critic (no human labels needed). Swing by if you’d like to chat about program synthesis & multimodal reasoning!
June 13, 2025 at 2:44 PM
Just julia things.
February 13, 2025 at 5:39 AM
Reposted by Atharva Sehgal
Happy to announce the PySR v1.0 release!

github.com/MilesCranmer...

PySR lets you do high-performance symbolic regression from Python.

Now, you can learn multiple symbolic expressions simultaneously!

Also:
+ Parametric expressions
+ TensorBoard support
+ Improved search
+ Julia-based inference
December 1, 2024 at 5:40 PM
Reposted by Atharva Sehgal
Missing NeurIPS this year but wanted to highlight our new paper on LLM-guided genetic programming: trishullab.github.io/lasr-web/

Our method, LaSR, conditions mutation/crossover operators on (1) an LLM's general domain knowledge, and (2) LLM-generated abstractions of high-performing programs. (1/2)
December 6, 2024 at 5:49 PM
Arya and I'll be at #NeurIPS presenting LaSR (trishullab.github.io/lasr-web/) on Wednesday morning 11AM PST to 2PM PST (East Exhibit Hall A-C #4003). Drop by and say Hi!
December 10, 2024 at 2:04 AM