Showing papers from Technical University of Munich Show all papers
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 179
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026
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Solver-Aligned Initialization Learning differentiates through SCF solvers to train transferable ML initial guesses, reducing iterations by up to 37% on molecules up to 10× larger than training data.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Multi-variable conformal prediction extends calibration to vector-valued scores with multiple variables, removing data splitting while preserving coverage and yielding smaller, more stable prediction sets.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Diffusion LLMs amortize adversarial prompt optimization by directly generating diverse, transferable jailbreak prompts that bypass black-box target models.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face
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Lookalike3D detects identical and near-identical object pairs in indoor scenes using multiview transformers and improves baseline IoU by 104%.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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A multi-task virtual sensor model predicts diverse targets via shared representations, reducing computation up to 415x and memory 951x while improving accuracy over isolated and foundation alternatives.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Mean-field transformers exhibit rapid token distribution concentration onto projection-driven limits with explicit Wasserstein bounds scaling in inverse temperature β and time t.
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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Chess reveals LLMs' reasoning collapses without memorized priors, with newer models showing diminishing gains on novel positions.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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FineVision unifies 24 million vision-language samples via rigorous curation and decontamination, and models trained on it outperform existing open mixtures across broad evaluations.
Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026 · ▲ 81 on Hugging Face
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Geospatial foundation model literature lacks standardized evaluation protocols, causing widespread cross-paper scoring discrepancies and unreleased weights, so six concrete community standards are proposed.
Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 27
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SILO uses hierarchical self-improvement imitation with biologically guided stochastic beam search to optimize protein fitness under tight oracle budgets, outperforming baselines across eight landscapes.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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A neuro-symbolic approach couples large reasoning models with model checkers to iteratively repair synthesized Verilog via sound symbolic feedback, solving more benchmarks than dedicated synthesis tools and enabling natural-language specification autoformalization.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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RayTun3R adapts 3D foundation models to fisheye cameras via 10,752-parameter residual positional encoding corrections, reducing rotation error 2-12×.
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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d-OPSD applies on-policy self-distillation to diffusion LLMs via suffix conditioning and step-level supervision, cutting optimization steps by ~90% versus RLVR while outperforming baselines on reasoning benchmarks.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 174 on Hugging Face · Code ★ 18
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Joint Self-Improvement uses a joint generative-predictive model and self-improving sampling to reduce distribution shift and efficiently generate optimized molecules under limited evaluation budgets.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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DiffScore evaluates text with masked diffusion models using bidirectional context to eliminate positional bias and decompose quality into fluency and faithfulness, outperforming autoregressive baselines.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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DinoComplete distills DINO semantic priors into voxel features and fuses them via multi-scale voxel state-space modeling to achieve efficient, robust 3D shape completion on unseen categories and noisy scans.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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Prompt2Seg conditions frozen diffusion segmentation models on spatial prompts for zero-shot interactive instance segmentation across diverse visual domains.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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DriftBench finds iterative LLM ideation increases complexity and reduces constraint adherence, with models often violating rules they accurately recall and judges under-detecting violations.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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A mean-pool DeepSet trained on pairs learns set encoders that generalize to arbitrary sizes, letting inference heads scale to thousands of observations with minimal compute.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Rademacher complexity bounds unify GNN expressivity and input geometry through equivalence classes, covering numbers, and Wasserstein robustness.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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Depth-recurrent attention mixtures (Dreamer) combine sequence, depth, and sparse expert attention to scale latent reasoning efficiently, requiring 2, 8x fewer training tokens than matched baselines while improving expert diversity.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face
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FlowHOI generates semantically grounded hand-object interaction sequences via two-stage flow matching, achieving 1.7x higher simulation success and 40x faster inference than diffusion baselines.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Noiseless inverse optimization achieves tight O(d/T) generalization and regret bounds, with parameter-free algorithms matching adversarial lower bounds.
Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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IRPO applies GRPO post-training to image restoration via selective hard-sample data and multi-component rewards, improving in-domain accuracy by 0.93 dB and OOD generalization by 3.43 dB.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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COMPOSE recasts multi-view 3D pose estimation as hypergraph exact-cover optimization, improving training-free average precision by up to 31 points over prior optimization methods.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Standard spectral GNNs exhibit poor signal propagation; Schrödinger GNNs route signals across graphs more effectively via observable-based modeling inspired by quantum mechanics.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Multi-block DC programming defines a broader structured nonconvex class with polynomial decompositions and constructive formulations for deep networks, plus convergent batch and stochastic algorithms.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Steady CFD inference is reformulated as self-supervised inpainting with a local tokeniser, yielding reusable flow priors that outperform supervised surrogates under boundary shifts and enable local geometry editing.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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