We will be commencing DiffCoAlg workshop proceedings shortly. To join in on the livestream and for online QA, please login on https://t.co/8cJUacMBMr and go to https://t.co/CO0MwLDMkB!
Check out our latest work on Geometric Machine Learning at #NeurIPS this week. We are recruiting PhD students and postdocs this cycle — please reach out if you are interested in joining us.
Main conference:
Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
led by Raphael Pellegrin, Lukas Fesser
Fri, 12/5, 4:30 PM – 7:30 PM, Exhibit Hall C,D,E #3804
https://t.co/a1uk0EPp2X
Workshops:
Towards distillation guarantees under algorithmic alignment @diffcoalg
led by @tle_96
https://t.co/XSAVwmYesp
Manifold Learning for Cosmic Structures @ ML4PS
led by Ana Sofia Uzoy /w @ClaireLamman
https://t.co/koza4EyX4F
Balancing Fairness and Accuracy in Graph Learning via Fairness-Constrained Rewiring @neur_reps *oral presentation*
led by Jason Wang /w Lukas Fesser
https://t.co/Sw6J4J3kz0
Curvature Estimation on Data Manifolds via Diffusion-augmented Sampling @neur_reps
led by Jason Wang /w @bobak_kiani
https://t.co/RHSrY6foOd
Data Augmentation: A Fourier Analysis Perspective @neur_reps
led by @B_Tahmasebi /w @StefanieJegelka
https://t.co/VozdeKU82Y
Bispectral OT: Dataset Comparison using Symmetry-Aware Optimal Transport @neur_reps
led by Annabel Ma /w @kaiyinghou@elmelis
https://t.co/jJ6xTMDsvC
On a Geometry of Interbrain Networks @neur_reps
led by @nico_hinrichs /w Noah Guzman
https://t.co/UlIGt1Ldim
Priors in Time: A Generative View of Sparse Autoencoders for Sequential Representations @CogInterp
led by @EkdeepL@can_rager@sumedh_hrs
https://t.co/YdQfAmHOKR
How well do neural solvers generalize to harder problems at scale?
📢 Submit your work to DiffCoALG @NeurIPSConf!
Deadline has been extended to Aug 31st (AoE)!
🔗 https://t.co/OiKDhVcIHW
#NeurIPS#NeurIPS2025
Can LLMs reason about TSP, SAT, or routing?
Join DiffCoALG @NeurIPSConf 2025 — where discrete algorithms meet differentiable ML.
📅 Deadline: *extended* to Aug 31 (AOE)!
🔗 https://t.co/OiKDhVcaSo
How well do neural solvers really generalize?
From TSP to SAT to graph problems, DiffCoALG @NeurIPSConf tackles benchmarks, theory, and applications.
📅 Deadline: Aug 22 (a day away!)
🔗 https://t.co/OiKDhVcaSo
#NeurIPS#NeurIPS2025
Join DiffCoALG @NeurIPSConf 2025 — a workshop on neural methods + classic algorithms (think: TSP, SAT, MIP, and more).
🧠 Theory meets practice.
The deadline is only 3 days away!
📆 Submit by Aug 22
🔗 https://t.co/OiKDhVcaSo
From vehicle routing to chip design, combinatorial problems are everywhere. DiffCoALG invites your submissions on neural methods for these topics, and more.
🏖️ Venue: @NeurIPSConf
📆 Paper deadline (fast approaching!): Aug 22
🔗 https://t.co/OiKDhVcaSo
#NeurIPS2025#NeurIPS
🎯Are you working on differentiable methods for non-differentiable tasks?
Want to showcase novel techniques?
DiffCoALG is the workshop to be at! Check us out at @NeurIPSConf this year.
📅 Deadline: Aug 22
🔗 https://t.co/OiKDhVcaSo
#NeurIPS2025
🔥 New workshop at @NeurIPSConf!
DiffCoALG bridges the gap between classic algorithms & differentiable learning.
Think: LLM reasoning, routing, SAT, MIP — neurally optimized end-to-end.
📌 Submit by Aug 22!
🔗 https://t.co/OiKDhVcaSo
#NeurIPS2025