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Showing papers from Delft University of Technology Show all papers

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Mental Health AI Must Move Beyond Diagnostic Prediction and Chat-Based Support: Toward Perspective-Aware, Multisensory Co-Experience

Pinyao Liu, Esen K Tütüncü, Muhammad Arslan Manzoor, Yufang Hou and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 1/5
medium 2/10
strict 0/5
57%Worth a look
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Coarse-to-Fine 3D MRI Reconstruction via Resolution-Agnostic Neural Operators

Jiayun (Peter) Wang, Ruibo Wang, Valentin Duruisseaux, Ram Daftari and 4 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Learning from Ranking Feedback: Improved Regret Bounds via Independence Preserving Rank Breaking

Nigel Strachan, Sattar Vakili, Matthijs Spaan, Julia Olkhovskaya

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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Early Detection of Backbone Divergence via Neighborhood Structure in Learned Embeddings

Yiming Zhang, Reza Hassanpour, Georgi Gaydadjiev

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
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Dynamic Optimistic Constrained OCO with Memory via Delay Equivalence

Mohammed ABDULLAH, George Iosifidis, Salah Eddine ELAYOUBI, Tijani Chahed

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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ElasticFit: Fit-Aware 3D Object Insertion via VLM Reasoning and Generative Adaptation

Tzu-Hsin Hsieh, Ricardo Marroquim

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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Replay-buffer engineering for noise-robust quantum circuit optimization

Akash Kundu, Sebastian Feld

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
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45%Niche pick
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PDHFormer: Progressive Dual-Head Transformer for Behavioral Choice Prediction

Hao Zhou, Jing Chen, Yaoxin Wu, Jie Gao and 1 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
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74%Highly rated
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Two Stages of Folding: Convergent Mechanisms in AI Protein Folding Trunks

Protein folding models share a two-stage trunk mechanism initializing biochemical signals then spatial features, with causally steerable, interchangeable representations across architectures.

Kevin Lu, Jannik Brinkmann, Stefan T Huber, Aaron Mueller and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 1/5
76%Highly rated
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The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset

KITScenes Multimodal provides European autonomous driving data with high-fidelity synchronized sensors, complete topologically connected 3D HD maps, and four embodied AI benchmarks.

Richard Schwarzkopf, Fabian Immel, Alexander Blumberg, Jonas Merkert and 20 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 19 on Hugging Face · Code ★ 26

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 2/5
71%Highly rated
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Shared Modular Recurrence in Contextual MDPs for Universal Morphology Control

A transformer with shared modular recurrence recovers partial contextual features via modular interactions, substantially improving zero-shot generalization to unseen robot dynamics, kinematics, and topologies.

Laurens Engwegen, Max Weltevrede, Caroline Horsch, Daan Brinks and 1 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 5/5
medium 2/10
strict 0/5
78%Highly rated
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Dynamic Regret in Online Convex Optimization with Indicator Switching Costs

A meta-learning framework with randomized lazy FTRL and movement-aware mixing achieves near-optimal dynamic regret with indicator switching costs and adapts to both switch counts and path length without prior knowledge.

Naram Mhaisen, George Iosifidis

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 3/5
medium 5/10
strict 3/5
86%Must read
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MAdam: Metric-Aware Multi-Objective Adam

MAdam removes Adam's weighting and geometric mismatches in multi-objective optimization via a preference-conditioned curvature preconditioner, consistently improving results across tasks.

Fengbei Liu, Rachit Saluja, Sunwoo Kwak, Ruibo Wang and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 2/5
91%Must read
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Safety Reconstructed: Generative Modeling via Masked Diffusion Builds Strong Safety Guardrails

LLaDA-Guard uses masked diffusion to score responses under each safety label and classify by difference, improving calibration, reducing over-defense, and enabling token-level risk localization with 60.7% prompt rewriting success.

Gert Lek, Abele Mălan, Chaoyi Zhu, Pin-Yu Chen and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5
86%Must read
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CompleteRXN: Toward Completing Open Chemical Reaction Databases

CompleteRXN introduces a benchmark for completing incomplete chemical reaction databases, showing models reach high accuracy on benchmark splits but degrade substantially on uncurated real-world data.

Gabriel Vogel, Minouk Noordsij, Evgeny A Pidko, Jana M. Weber

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
83%Must read
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Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction

Invaria learns scale and density invariant point cloud features via next-resolution prediction, boosting low-resolution ScanNet mIoU by 56% with a smaller model and fewer tokens.

Chun-Peng Chang, Shaoxiang Wang, Alain Pagani, Dariu Gavrila and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
72%Highly rated
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Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation

FedUCA treats servers as participation optimizers to sustain rational clients, achieving higher retention and better global models than standard aggregation.

Yashwanth Mandula, Arunabh Singh, Ashok Nayak, Saikiran Bulusu and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
80%Must read
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One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective

Treating neural quantum state optimization as advantage policy-gradient enables PWO, a trust-region algorithm that improves stability and scales to 1.5B parameters.

Juan A Duque, Sergio García Heredia, Vinicius Hernandes, Eliska Greplova and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 2/5
medium 8/10
strict 2/5