Emile van Krieken @emilevankrieken.com · 26/05/2026In this part? I'm not sure I follow the argument. Yes, we understand logistic regression much deeper (convex loss, easy interventions & statistics). Stacking layers is what creates nonidentifability, nonconvexity, and all the other nastiness of ANNs. So I'd say the case is very different from ANNs? 020
Emile van Krieken @emilevankrieken.com · 13/03/2026Claude just told me to remove an offhand footnote about Anthropic's dealings with the DoW 😱🤨 110
Emile van Krieken @emilevankrieken.com · 28/11/2025And finally #3 🔨 Rank bottlenecks in KGEs: At Friday's "Salon des Refuses" I will present @sbadredd.bsky.social 's new work on how rank bottlenecks limit knowledge graph embeddings arxiv.org/abs/2506.22271 160
Emile van Krieken @emilevankrieken.com · 28/11/2025#2 🍇 GRAPES: At Tuesday's ELLIS Unconference poster session. We study adaptive graph sampling for scaling GNNs! Work with Taraneh Younesian, Daniel Daza, @thiviyan.bsky.social, @pbloem.sigmoid.social.ap.brid.gy arxiv.org/abs/2310.03399 131
Emile van Krieken @emilevankrieken.com · 28/11/2025Almost off to @euripsconf.bsky.social in Copenhagen 🇩🇰 🇪🇺! I'll present 3 posters: 🧠 Neurosymbolic Diffusion Models: Thursday's poster session. Going to NeurIPS? @edoardo-ponti.bsky.social and @nolovedeeplearning.bsky.social will present the paper in San Diego Thu 13:00 arxiv.org/abs/2505.13138 1223
Emile van Krieken @emilevankrieken.com · 23/07/2025🍇Happy to share GRAPES 🍇 Make GNNs work on large graphs by learning an expressive and adaptive sampler 🚀 Excellent work led by Taraneh Younesian now in TMLR! openreview.net/forum?id=QI0... 0144
Emile van Krieken @emilevankrieken.com · 17/07/2025Hmm, this rule seems very recently changed? web.archive.org/web/20250514... This was what it said just before the deadline, so people submitting to NeurIPS couldn't have known about the mandatory physical presence 🤔 072
Emile van Krieken @emilevankrieken.com · 22/05/2025This is a new experience: people using AI to overhype your paper 🫢 @neuralnoise.com 191
Emile van Krieken @emilevankrieken.com · 21/05/2025On benchmarks for visual path planning and problems affected by reasoning shortcuts, we achieve state-of-the-art performance while showing scalability and strong calibration! 190
Emile van Krieken @emilevankrieken.com · 21/05/2025We derive a principled loss function using a new result that may be of broader interest to the masked diffusion community. Our loss function reconstructs the output dimensions separately, decomposing the problem! 1100
Emile van Krieken @emilevankrieken.com · 21/05/2025How to go beyond independence? This is where powerful discrete diffusion models come in! Every unmasking step is an independent distribution… Neurosymbolic Diffusion Models (NeSyDMs) exploit this for efficient probabilistic reasoning while guaranteeing global dependencies 🚀 1111
Emile van Krieken @emilevankrieken.com · 21/05/2025Classical NeSy methods assume conditional independence over concepts! But in arxiv.org/abs/2404.08458 (ICML’24) we show many issues with this assumption, from challenging optimisation to poor calibration 👇 x.com/EmilevanKrie... 190
Emile van Krieken @emilevankrieken.com · 21/05/2025Neurosymbolic (NeSy) predictors use neural networks to extract high-level, symbolic concepts from an input, and then use a symbolic program to reason over these concepts. The concept extraction phase is completely unsupervised: No access to true concepts during training! 1100
Emile van Krieken @emilevankrieken.com · 21/05/2025We propose Neurosymbolic Diffusion Models! We find diffusion is especially compelling for neurosymbolic approaches, combining powerful multimodal understanding with symbolic reasoning 🚀 Read more 👇 49327
Emile van Krieken @emilevankrieken.com · 18/05/2025Looks like they made it more lenient! - Better matching (I hope!) - 100 -> 400 papers to bid on 000
Emile van Krieken @emilevankrieken.com · 17/05/2025@neuripsconf.bsky.social This search functionality also seems disabled 100
Emile van Krieken @emilevankrieken.com · 17/03/2025The cover for the daily star is even better IMO! @rohit-saxena.bsky.social @aryopg.bsky.social @neuralnoise.com 091
Emile van Krieken @emilevankrieken.com · 10/01/2025Hahahaha they even have some kind of case for attaching it to a phone 🤣 Just asking to be sherlocked by Apple/Google. 000
Emile van Krieken @emilevankrieken.com · 27/12/2024This is a nice example of LLM slop collapse haha 230
Emile van Krieken @emilevankrieken.com · 21/12/2024🦕 Neurosymbolic heuristic search goes brrr 🚀 But let's make it more efficient than $3200 per query 🙃 @fchollet.bsky.social 2242
Emile van Krieken @emilevankrieken.com · 10/12/2024Today @jumelet.bsky.social is defending 🎉 He's organising a nice workshop today on the intersection of LLMs and linguistics. He just kicked it off with this work with AO @wzuidema.bsky.social on using LLMs to improve our understanding of adjective order 0162
Emile van Krieken @emilevankrieken.com · 02/12/2024Wish I knew about this much earlier: In VS Code (or Cursor 😉) you can install a 'data wrangler' extension to inspect the values of your PyTorch Tensors in a nice UI with summary statistics. Just right-click on a tensor in your variables view! 4254
Emile van Krieken @emilevankrieken.com · 13/11/2024Dit is nu aangepast, de gemeente zou het verbieden als ze het niet zou worden afgelast. 100
Emile van Krieken @emilevankrieken.com · 10/11/2024Indeed! I treat my Obsidian vault as a Knowledge Graph with typed links for the metadata, the template is created from my Bibtex importer :) 110