Good Papers

Showing papers from TU Berlin Show all papers

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How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models

Leonard Hackel, Begum Demir, Tom Burgert

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

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
83%Must read
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Manifold Sampling via Entropy Maximization

MASEM samples disconnected manifolds by entropy maximization via resampling, exponentially reducing KL divergence and improving Sinkhorn distance by an order of magnitude.

Cornelius Braun, Tilman Burghoff, Marc Toussaint

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · 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 7/10
strict 1/5
80%Must read
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Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology

Symb-xMIL quantifies alignment between MIL predictions and human-readable logical rules to expose decision patterns, recover ground-truth rules, and refine survival stratification beyond HPV status.

Yanqng Luo, Julius Hense, Niklas Prenißl, Andreas Mock and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 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 5/5
medium 7/10
strict 0/5
88%Must read
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SecureClaw: Clawing Back Control of LLM Agents

SecureClaw dual-bounds LLM agents by confining plaintext via opaque handles at the read boundary and enforcing authorized previews at the action sink, achieving near-zero attack success with preserved utility.

Yuhan Ma, Stefan Schmid

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
88%Must read
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When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering

Vision-language models use celebrity identity shortcuts rather than visual age cues, and activation steering suppresses this to cut mean absolute error by up to 25%.

Erik Imgrund, Pia Hanfeld, Klim Kireev, Konrad Rieck

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5