Deep Learning Extravaganza: Diversity and Inclusion in AI Research and Community
On Thursday 18 June 2026, ELLIS Unit Amsterdam invites ELLIS Society Members, local community students, researchers, and industry practitioners to Lab42, Amsterdam Science Park, for an afternoon dedicated to cutting-edge deep learning research and an inclusive AI community.
This edition of DLE brings together keynote research, top-tier AI/ML venue posters, and an inclusive AI talk with a live cultural performance. The event is organised by ELLIS Unit Amsterdam, in collaboration with Inclusive AI, and supported by the University of Amsterdam, CWI, and Vrije Universiteit Amsterdam.
Event details
Programme
- 13:45-14:45 Inclusive AI Talk: Breaking Into AI: Barriers, Opportunities, and Practical Advice (Carlos Miguel Patiño, MSc AI student, UvA & Hugging Face). Room: L3.36, Lab42
- 15:30-15:45 Welcome remarks by ELLIS unit Amsterdam Director (Jan-Willem van de Meent). Room L3.36, Lab42
- 15:45-16:45 Keynote presentation on Tabular Representation Learning (Madelon Hulsebos, ELLIS Member, CWI). Room L3.36, Lab42
- 17:00-17:15 Beyond Code: Live Music and Dance Across Cultures (Ruthu Rooparaghunath and Swasti Mishra, PhD Candidates, UvA). Room: Ground Floor, Lab42
- 17:15-19:00 AI/ML Poster session and networking drinks. Room: Ground Floor, Lab42
Poster highlights
Computer Vision and Pattern Recognition Conference (CVPR)
- GaME: Gaussian Mapping for Evolving scenes. CVPR 2026. Vladimir Yugay*, Thies Kersten*, Luca Carlone, Theo Gevers, Martin R. Oswald, Lukas Schmid.
- MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention. CVPR 2026. Pedro M. P. Curvo, Jan-Willem van de Meent, Maksim Zhdanov.
- Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs. CVPR 2026. Angela van Sprang, Laurens Samson, Ana Lucic , Erman Acar , Sennay Ghebreab , Yuki M. Asano.
International Conference on Learning Representations (ICLR)
- OrthoRF: Exploring Orthogonality in Object-Centric Representations. ICLR 2026. Despoina Touska, Bastiaan Onne Fagginger Auer, Alexandru Onose, Tejaswi Kasarla, Luis Armando Perez Rey, Maximilian Lipp, Lyubov Amitonova, Martin R. Oswald, Pascal Cerfontaine.
- MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs. ICLR 2025. Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski.
- Riemannian Variational Flow Matching for Material and Protein Design. ICLR 2025. Olga Zaghen, Floor Eijkelboom, Alison Pouplin, Cong Liu, Max Welling, Jan-Willem van de Meent, Erik J. Bekkers.
- Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence. ICLR2026.
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves.
- Discrete codebook world models for continuous control. ICLR 2025. Scannell, A., Nakhaeinezhadfard, M., Kujanpää, K., Zhao, Y.,Luck,K., Solin, A., & Pajarinen, J.
Special Interest Group on Information Retrieval (SIGIR)
- Spectral Tempering for Embedding Compression in Dense Passage Retrieval. SIGIR 2026. Yongkang Li, Panagiotis Eustratiadis, Evangelos Kanoulas.
- Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations. SIGIR 2026. Jingfen Qiao, Gabrielle Poerwawinata, Thong Nguyen, Jia-Huei Ju, Eugene Yang, Evangelos Kanoulas, and Andrew Yates.
- Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank. SIGIR 2026. Stan Fris, Philipp Hager.
International Journal of Computer Vision (IJCV)
- Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors. IJCV 2026. Tejaswi Kasarla, Max van Spengler & Pascal Mettes.
Association for Computational Linguistics (ACL)
- Section-Level Simplification of Biomedical Abstracts. ACL 2026. Jan Bakker, Jaap Kamps.
- Mapping semantic networks to Dutch word embeddings as a diagnostic tool for cognitive decline. EMNLP 2025. Maithe van Noort, Michal Korenar, Jelke Bloem.
- Cost-Aware Reinforcement Learning for Entity Matching with LLMs. ACL 2026. Chaohui Guo et al.
International Conference on Machine Learning (ICML)
- ECSEL: Explainable Classification via Signomial Equation Learning. ICML 2026. Adia Lumadjeng, Ilker Birbil, Erman Acar.
- 3DPoV: Improving 3D understanding via Patch Ordering on Videos. ICML 2026. Ioana Simion, Mohammadreza Salehi, Shashanka Venkataramanan, Cees G. M. Snoek, Yuki M Asano.
European Conference on Artificial Intelligence (ECAI)
- Investigating the Robustness of Deductive Reasoning with Large Language Models. ECAI 2025. Fabian Hoppe, Filip Ilievski, Jan-Christoph Kalo.
- Think Smart, Act SMARL! Analyzing Probabilistic Logic Shields for Multi-Agent Reinforcement Learning. ECAI 2025. Satchit Chatterji and Erman Acar.
Conference on Empirical Methods in Natural Language Processing (EMNLP)
- M-QUEST – Meme Question-Understanding Evaluation on Semantics and Toxicity. Stefano De Giorgis, Ting-Chih Chen, Filip Ilievski.
International Joint Conference on Artificial Intelligence (IJCAI)
- TeNet: Text-to-Network for Compact Policy Synthesis. IJCAI 2026. Ariyan Bighashdel, Kevin Sebastian Luck.
- Directional Hallucinations: Ideological Drift in News-Grounded LLM Question Answering. IJCAI 2026. Chendi Wang, Liam Cunningham, Tom Yishay, Jieying Chen.
Transactions on Machine Learning Research (TMLR)
- Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints. TMLR 2026. Daniel Daza et al.
European Semantic Web Conference (ESWC)
- Designing Hierarchies for Optimal Hyperbolic Embedding. ESWC2025. Melika Ayoughi, Max van Spengler, Pascal Mettes and Paul Groth.
International Conference on Knowledge Capture (KCAP)
- Minimizing Hyperbolic Embedding Distortion with LLM-guided Hierarchy Restructuring. KCAP 2025. Melika Ayoughi, Pascal Mettes, Paul Groth.
ACM Web Conference (WWW)
- Detecting Linguistic Bias in Government Documents Using Large language Models . WWW 2025. Milena de Swart, Floris den Hengst, Jieying Chen.
