Rishal Aggarwal
@rishalchich.bsky.social
170 followers 740 following 4 posts
Machine Learning, Statistical Mechanics, Structural Biology. F1 and Football ⚽. PhD Student CMU-Pitt Comp Bio | IIITH | BITS Pilani
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rishalchich.bsky.social
New "blogpost" from our lab, that got accepted at ICLR 2025! We compare an old MCMC method known as Sequential Monte Carlo to generative models trained on energy functions (iDEM/iEFM) and show that MCMC does better. Check it out here: rishalaggarwal.github.io/ebmvsmcmc/
Reposted by Rishal Aggarwal
emmaflynn.bsky.social
Our new preprint PharmacoForge: Pharmacophore Generation with Diffusion Models is out now! PharmacoForge quickly generates pharmacophores for a given protein pocket that identify key binding features and find useful compounds in a pharmacophore search. Check it out! 🧪 doi.org/10.26434/che...
Reposted by Rishal Aggarwal
fses91.bsky.social
Happy to introduce 🔥LaM-SLidE🔥!

We show how trajectories of spatial dynamical systems can be modeled in latent space by

--> leveraging IDENTIFIERS.

📚Paper: arxiv.org/abs/2502.12128
💻Code: github.com/ml-jku/LaM-S...
📝Blog: ml-jku.github.io/LaM-SLidE/
1/n
Reposted by Rishal Aggarwal
olexandr.bsky.social
Long & windy road of academic publishing! Few journal rejections and two years (!!!) after preprint, AIMNet2 paper was just published @chemsocrev.rsc.org With 69 citations to it as of now, it's immediately part of 2025 HOT🌶️ Article collection. pubs.rsc.org/en/content/a... #chemsky #compchem
Reposted by Rishal Aggarwal
yisongyue.bsky.social
Thanks to everyone for helping make #ICLR2025 successful. 🥳 It was an honor to serve as General Chair.

The best part was using @iclr-conf.bsky.social as my personal meme account the past two years (first as Senior Program Chair). I hope that future ICLR organizers continue the tradition. 🤪
Reposted by Rishal Aggarwal
aithyra.bsky.social
Please welcome AITHYRA, the Research Institute for Artificial Intelligence of the Austrian Academy of Science on social media. Follow us and connect via Bluesky and LinkedIn 👋
Reposted by Rishal Aggarwal
nbordin.bsky.social
Our latest preprint is out on bioRxiv!

A collaboration between the groups of @martinsteinegger.bsky.social , David Jones and Christine Orengo, we clustered AlphaFold Database and ESMatlas, a whopping 821 million proteins!

We reveal biome-specific groups & over 11k novel domain combinations.
Metagenomic-scale analysis of the predicted protein structure universe
Protein structure prediction breakthroughs, notably AlphaFold2 and ESMfold, have led to an unprecedented influx of computationally derived structures. The AlphaFold Protein Structure Database now prov...
www.biorxiv.org
Reposted by Rishal Aggarwal
georgwinter.bsky.social
Hello, we are AITHYRA!
I am very excited to share with you the corporate identity of AITHYRA, the Research Institute for Biomedical AI.

Check out the brand design video (sound on!) to learn more.

**REMINDER**
One week left to apply for Starting PI positions (Life Science and AI/ML). Come join us!
aithyra.bsky.social
We proudly present to you the #AITHYRA corporate identity, a mixture of logo, motion and sound design. Thanks to our Design Partner Studio Dumbar for a creative and joyful process, and the OeAW and BIS for giving us the confidence and trust to go new ways. More to come www.oeaw.ac.at/aithyra/news...
Reposted by Rishal Aggarwal
delalamo.xyz
"De novo prediction of protein structural dynamics"

I'll be presenting an overview of the field tomorrow at a workshop. Link to a PDF copy of the presentation: delalamo.xyz/assets/post_...
delalamo.xyz
Reposted by Rishal Aggarwal
sargoshoe.bsky.social
Who is at #AACR25? I’m here representing my group’s work at the intersection of AI and drug resistance in cancer, and want to hear about what you’re doing!(1/4)
Sara with .5 mode selfie (thanks kids) in front of aacr sign
rishalchich.bsky.social
@iclr-conf.bsky.social blog posts are now live at iclr-blogposts.github.io/2025/blog! Unfortunately I won't be able to present our blog post at the conference in person 😔, but I am happy to chat about it online if you find it interesting! Poster attached 🙂.
rishalchich.bsky.social
With this baseline, we emphasize that such generative methods should focus on computational efficiency and transferability in their model design and benchmarks.

Work done with Daniel ( @countrsignal.bsky.social ), Justin ( @shaojus.bsky.social ), and Minhyek ( @minhyekj.bsky.social )
rishalchich.bsky.social
New "blogpost" from our lab, that got accepted at ICLR 2025! We compare an old MCMC method known as Sequential Monte Carlo to generative models trained on energy functions (iDEM/iEFM) and show that MCMC does better. Check it out here: rishalaggarwal.github.io/ebmvsmcmc/
Reposted by Rishal Aggarwal
cmupittcompbio.bsky.social
Last week several of our students presented their research at NeurIPS 2024 in Vancouver. We are so proud of the excellent work that they've accomplished and shared with the scientific community! 🧪
Check out each of their papers below:
Reposted by Rishal Aggarwal
sculpturatus.bsky.social
AlphaFold3 still tends to overfit regions that AF2 multimer predicts to be disordered. Almost all disordered regions become helices in AF3.
Reposted by Rishal Aggarwal
dkoes.compstruct.org
Going into @workshopmlsb.bsky.social , a few thoughts on the PLINDER dataset. This is a monumental and highly appreciated undertaking for extracting protein-ligand interactions from the PDB. First the good...
Reposted by Rishal Aggarwal
ian-dunn.bsky.social
I'm presenting a new paper "Exploring Discrete Flow Matching for 3D De Novo Molecule Generation" at @workshopmlsb.bsky.social this week! More info in this thread but reach out if want to chat at NeurIPS about generative models or molecular design. arxiv.org/abs/2411.16644
Reposted by Rishal Aggarwal
dkoes.compstruct.org
More excellent work from the indomitable @ian-dunn.bsky.social Come check it out at @workshopmlsb.bsky.social
ian-dunn.bsky.social
I'm presenting a new paper "Exploring Discrete Flow Matching for 3D De Novo Molecule Generation" at @workshopmlsb.bsky.social this week! More info in this thread but reach out if want to chat at NeurIPS about generative models or molecular design. arxiv.org/abs/2411.16644
Reposted by Rishal Aggarwal
franknoe.bsky.social
Excited about BioEmu?

Opening this position for just a few days over #NeurIPS2024. Looking especially for Bioinformatics + Structural Biology skills, MD/Stat Mech skills and/or #deeplearning architecture design + engineering skills

aka.ms/ai4science-r...
Reposted by Rishal Aggarwal
rommieamaro.bsky.social
do not assess & compare their methods on fair footing & in a meaningful way

For good or for bad, in the end, BLINDED COMMUNITY CHALLENGES are the only fair way to assess methods

Meaning: the proof is in the pudding. The methods who want to be taken seriously should ...
Reposted by Rishal Aggarwal
dkoes.compstruct.org
We're looking forward to presenting this @workshopmlsb.bsky.social . This work was conceived and led by a group CPCB (@cmupittcompbio.bsky.social) students and learns a co-embedding of proteins and ligands to support ultra fast virtual screening. arxiv.org/pdf/2411.15418
Dimensionality reduced embedding space showing that ligand and their targets colocate and genomes self organize. SPRINT Enables Interpretable and Ultra-Fast Virtual
Screening against Thousands of Proteomes
Andrew T. McNutt ∗
University of Pittsburgh
anm329@pitt.edu
Abhinav K. Adduri∗
CMU, Arc Institute
abhinav.adduri@arcinstitute.org
Caleb N. Ellington∗
Carnegie Mellon University
cellingt@cs.cmu.edu
Monica T. Dayao
Carnegie Mellon University
mdayao@cs.cmu.edu
Eric P. Xing
CMU, MBZUAI, Petuum Inc.
epxing@cs.cmu.edu
Hosein Mohimani
Carnegie Mellon University
hoseinm@cs.cmu.edu
David R. Koes
University of Pittsburgh
dkoes@pitt.edu