@AurelienLucchi profile picture
Aurelien Lucchi @AurelienLucchi

Researcher in optimization and theoretical machine learning. Associate professor at the University of Basel. Past: EPFL, ETH Zurich (Switzerland) 🇨🇭

Joined February 2013
  • Tweets 346
  • Following 384
  • Followers 1,804
26 Photos and videos
Aurelien Lucchi retweeted
Ilija Bogunovic
@ilijabogunovic
Apr 20
Hiring 2 summer ML research interns at the University of Basel 🇨🇭. Research topics: RL/diffusion LLM post-training, reasoning, or LLM orchestration. Possible fully funded PhD offers to follow. I'll be at ICLR this week and happy to chat. Apply: forms.gle/TeeeNU6e7kDH3jX96

12
34
369
23,076
After a lot of hands-on time with Codex and Claude: Claude is significantly better at actually following instructions. Not even close right now.
Tibo
@thsottiaux
Apr 16
Codex Compute efficient ✅ Always up, never down ✅ Best at hardcore engineering ✅ Crazy good app, first to escape the terminal ✅
521
🚨 PhD position in Reasoning for LLMs at the University of Basel 🇨🇭 Work on: • reasoning in LLMs • diffusion LLMs • theory ↔ real-world applications Top venues (ICML, NeurIPS, ICLR) strong math/ML focus Joint position with I. Bogunovic @ilijabogunovic
3
15
174
20,793
Apply👇 jobs.unibas.ch/offene-stelle…

1
1
11
1,832
Why Basel / Switzerland (lifestyle funding matters) 📍 Basel = top research environment high quality of life 💰 fully funded PhD with competitive Swiss salary
1
9
1,355
Aurelien Lucchi retweeted
Rustem@ruuustem_10
Mar 24
Excited to share our latest work on bridging theory & practice in optimization 🚀 We study stochastic conditional methods with momentum and provide practical strategies for choosing batch size and Frank–Wolfe stepsizes when token budget increases Paper: arxiv.org/abs/2603.21191

On the Role of Batch Size in Stochastic Conditional Gradient Methods

We study the role of batch size in stochastic conditional gradient methods under a $μ$-Kurdyka-Łojasiewicz ($μ$-KL) condition. Focusing on momentum-based stochastic conditional gradient...

arxiv.org
2
9
54
7,811
Aurelien Lucchi retweeted
Juliusz Ziomek@JuliuszZiomek
Feb 23
🚨 New Benchmark Alert!! 🚨 Navigate Wikipedia hyperlinks step-by-step. No map. Just planning and world knowledge! We evaluated 20 models on 3 difficulty levels: Gemini-3: 95% → 66% → 23% GPT-5: 92.5% → 60% → 15% Opus 4.5: 91.5% → 56% → 18% We discover a Planning Gap!🧵
1
13
23
2,429
Aurelien Lucchi retweeted
Ilija Bogunovic
@ilijabogunovic
24 Nov 2025
Want to do a PhD on RL for LLMs? 🇨🇭🤖🎓 One week left to apply!
Ilija Bogunovic
@ilijabogunovic
6 Nov 2025
🚀 We are hiring! Fully funded PhD positions @ Rhine-AI Group (University of Basel). Focusing on RL for LLMs, diffusion-based reasoning, and agentic AI. Please RT! Deadline approaching: December 1, 2025. Don't forget to apply! Apply: jobs.unibas.ch/offene-stelle…
4
17
99
16,890
The University of Basel has an opening for a Professorship in Deep Learning. We are growing, join us! jobs.unibas.ch/offene-stelle…

2
2
540
The conditions to create a group in Switzerland are among the best in the world: significant fundings for PhD students, high acceptance rate from the funding agency SNF, access to European funding opportunities, lots of amazing PhD candidates, great research partners, etc.
1
2
262
And Switzerland offers a remarkable diversity of landscapes, from alpine peaks to tranquil lakes.
256
Our research group in the department of Mathematics and CS at the University of Basel (Switzerland) is looking for several PhD candidates and one post-doc who have a theoretical background in optimization and machine learning or practical experience in reasoning. RT please.
1
7
39
4,871
Post-doc position in the field of Optimization and Deep Learning Theory jobs.unibas.ch/offene-stelle… PhD position in the field of Optimization and Deep Learning Theory jobs.unibas.ch/offene-stelle… PhD position in the field of Reasoning in Machine Learning jobs.unibas.ch/offene-stelle…
3
907
Loss Landscape Characterization of Neural Networks without Over-Parametrization to appear at @NeurIPSConf 2024. We propose a novel class of functions that characterize the loss landscape of deep models without requiring over-parametrization. arxiv.org/pdf/2410.12455
5
36
288
38,185
more replies
We also characterize the convergence of SGD (and other optimizers):
1
3
1,103
We have a non-vanishing term in the convergence rate, and interestingly this term decreases when we increase the number of parameters (confirmed experimentally and in line with many other prior works in the field):
3
983
My group has multiple openings both for PhD and Post-doc positions to work in the area of optimization for ML, and deep learning theory. We are looking for people with a strong theoretical background (degree in math, theoretical physics or CS with strong theory emphasis).
8
62
261
50,328
See details here: jobs.unibas.ch/offene-stelle…

1
1
9
3,631
Switzerland offers very attractive conditions to do research: good salaries, excellent research institutions, access to international networks, high quality of life, etc. Many of our graduates end up with great jobs, both in academia and industry. Please retweet too, thank you!
1
1
9
2,897
Load more