AK
Andreas Krause
cs.LGstat.MLcs.AIcs.ROcs.SYeess.SYmath.OCcs.DScs.GTcs.CY
On Valency
published · living versionsW_3qn5hea4·v1 · currentpublished
Multi-Objective Generative Optimization via Expected Hypervolume Fine-Tuning
with Juan Guevara, Riccardo De Santi, Raul Astudillo
1 version
Preprints & journals
331 papers in the corpus · 2009–2026VioLA: Learning Generalist Humanoid Control Policies from Human Data2610.12435v1 · Mert Albaba, Jens Bei\sswenger, Anna Manasyan et al.2026 · 0 citationsarXiv
Task Vector Descent: Learning from Non-IID Batches2610.05402v1 · Anton Baumann, Jonas Hubotter, Zeynep Akata et al.2026 · 0 citationsarXiv
Tactile Curiosity Drives Robot Interaction2609.40134v3 · Klemens Iten, Alexander Proshkin, Bhavya Sukhija et al.2026 · 0 citationsarXiv
Deep Epistemic Value Functions for Optimistic Exploration2609.35525v1 · Leander Diaz-Bone, Marco Bagatella, Jonas Hubotter et al.2026 · 0 citationsarXiv
On Repulsive and Attractive Teachers: Separating Correctness from Behavior in Self-Distillation2609.21561v1 · Anton Baumann, Akmal Ashirmatov, Leo Schmidt-Traub et al.2026 · 0 citationsarXiv
Local Sparsity Enables Unsupervised LLM Safety Detection2609.20129v2 · Xin Chen, Gil Kur, Alexander Shevchenko et al.2026 · 0 citationsarXiv
Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning2608.03875v1 · Pyrros Koussios, Chenhao Li, Xin Chen et al.2026 · 0 citationsarXiv
Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models2607.15277v1 · Patrik Wolf, Thomas Kleine Buening, Andreas Krause et al.2026 · 0 citationsarXiv
Breaking the Synthesis Barrier for AI-Designed DNA Libraries10.64898/2026.07.07.736931v1 · Sussex, S., Borevkovic, E., Lohmann, F. et al.2026 · 0 citationsbioRxiv
Uncertainty Quantification for Flow-Based Generalist Robot Policies2606.18043v2 · Ralf Romer, Maximilian Seeliger, Saida Liu et al.2026 · 0 citationsarXiv
Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules2606.08802v1 · Riccardo De Santi, Bruce Lee, Cristian Perez Jensen et al.2026 · 0 citationsarXiv
Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport2606.07239v1 · Malte Franke, Stefan P. Schmid, Zarko Ivkovic et al.2026 · 0 citationsarXiv
Position: Anthropomorphic Misalignment Research Needs Stronger Evidence2606.07612v1 · Vansh Gupta, Peter Nutter, Samuel Stante et al.2026 · 0 citationsarXiv
Constrained Flow Optimization via Sequential Fine Tuning for Molecular Design2605.30610v1 · Sven Gutjahr, Riccardo De Santi, Luca Schaufelberger et al.2026 · 0 citationsarXiv
Sampling-Based Safe Reinforcement Learning2605.19469v2 · Luca Vignola, Bruce D. Lee, Manish Prajapat et al.2026 · 0 citationsarXiv
POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles2605.07775v2 · Nicolas Menet, Andreas Krause, Abbas Rahimi2026 · 0 citationsarXiv
Bounded Ratio Reinforcement Learning2604.18578v3 · Yunke Ao, Le Chen, Bruce D. Lee et al.2026 · 0 citationsarXiv
Majority Voting for Code Generation2604.15618v1 · Tim Launer, Jonas Hubotter, Marco Bagatella et al.2026 · 0 citationsarXiv
Case Study of Bayesian Batch Optimization Strategies for Heterogeneous Catalysts in CO2 Hydrogenation10.26434/chemrxiv.15001703/v3 · Erwin Lam, Kourosh Shariat, Leo Chevalier et al.2026 · 0 citationsChemRxiv
Model-Based Reinforcement Learning for Control under Time-Varying Dynamics2604.02260v1 · Klemens Iten, Bruce Lee, Chenhao Li et al.2026 · 0 citationsarXiv
Optimistic Online LQR via Intrinsic Rewards2603.28938v2 · Marcell Bartos, Bruce D. Lee, Lenart Treven et al.2026 · 0 citationsarXiv
ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning2603.09692v2 · Davit Melikidze, Marian Schneider, Jessica Lam et al.2026 · 0 citationsarXiv
RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models2602.24040v1 · Daniel Yang, Samuel Stante, Florian Redhardt et al.2026 · 0 citationsarXiv
What Matters for Simulation to Online Reinforcement Learning on Real Robots2602.20220v2 · Yarden As, Dhruva Tirumala, Ren'e Zurbrugg et al.2026 · 0 citationsarXiv
Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning2602.16796v1 · Zifan Wang, Riccardo De Santi, Xiaoyu Mo et al.2026 · 0 citationsarXiv
Aligning Language Models from User Interactions2603.12273v1 · Thomas Kleine Buening, Jonas Hubotter, Barna P'asztor et al.2026 · 0 citationsarXiv
Verifier-Constrained Flow Expansion for Discovery Beyond the Data2602.15984v1 · Riccardo De Santi, Kimon Protopapas, Ya-Ping Hsieh et al.2026 · 0 citationsarXiv
A Unified Density Operator View of Flow Control and Merging2602.08012v1 · Riccardo De Santi, Malte Franke, Ya-Ping Hsieh et al.2026 · 0 citationsarXiv
Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities2602.06769v1 · Marco Bagatella, Thomas Rupf, Georg Martius et al.2026 · 0 citationsarXiv
A Theoretical Analysis of Test-Driven Code Generation2602.06098v4 · Nicolas Menet, Michael Hersche, Andreas Krause et al.2026 · 0 citationsarXiv
Reinforcement Learning via Self-Distillation2601.20802v2 · Jonas Hubotter, Frederike Lubeck, Lejs Behric et al.2026 · 0 citationsarXiv
Safe Exploration via Policy Priors2601.19612v4 · Manuel Wendl, Yarden As, Manish Prajapat et al.2026 · 0 citationsarXiv
Latent Causal Diffusions for Single-Cell Perturbation Modeling.41647197 · Lorch, Lars, Zhang, Jiaqi, Bunne, Charlotte et al.2026 · 0 citationsArXiv. 2026
Efficient Personalization of Generative Models via Optimal Experimental Design2512.19057v2 · Guy Schacht, Ziyad Sheebaelhamd, Riccardo De Santi et al.2025 · 0 citationsarXiv
Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game2512.16626v1 · Barna P'asztor, Thomas Kleine Buening, Andreas Krause2025 · 0 citationsarXiv
PAC-Bayesian Optimal Control with Stability and Generalization Guarantees2512.02858v1 · Mahrokh Ghoddousi Boroujeni, Clara Luc'ia Galimberti, Andreas Krause et al.2025 · 0 citationsarXiv
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning2511.22640v1 · Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh et al.2025 · 0 citationsarXiv
SOMBRL: Scalable and Optimistic Model-Based RL2511.20066v1 · Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza et al.2025 · 0 citationsarXiv
Learning Soft Robotic Dynamics with Active Exploration2510.27428v1 · Hehui Zheng, Bhavya Sukhija, Chenhao Li et al.2025 · 0 citationsarXiv
Sample-efficient and Scalable Exploration in Continuous-Time RL2510.24482v2 · Klemens Iten, Lenart Treven, Bhavya Sukhija et al.2025 · 0 citationsarXiv
TARC: Time-Adaptive Robotic Control2510.23176v2 · Arnav Sukhija, Lenart Treven, Jin Cheng et al.2025 · 0 citationsarXiv
Test-Time Tuned Language Models Enable End-to-end De Novo Molecular Structure Generation from MS/MS Spectra2510.23746v2 · Laura Mismetti, Marvin Alberts, Andreas Krause et al.2025 · 0 citationsarXiv
Optimistic Task Inference for Behavior Foundation Models2510.20264v2 · Thomas Rupf, Marco Bagatella, Marin Vlastelica et al.2025 · 0 citationsarXiv
Thompson Sampling via Fine-Tuning of LLMs2510.13328v4 · Nicolas Menet, Aleksandar Terzi'c, Michael Hersche et al.2025 · 0 citationsarXiv
Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning2510.04786v1 · Jonas Hubotter, Leander Diaz-Bone, Ido Hakimi et al.2025 · 1 citationarXiv
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models2509.24510v4 · Jonas Hubotter, Patrik Wolf, Alexander Shevchenko et al.2025 · 0 citationsarXiv
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer2509.18648v4 · Yarden As, Chengrui Qu, Benjamin Unger et al.2025 · 0 citationsarXiv
Safe and Near-Optimal Control with Online Dynamics Learning2509.16650v2 · Manish Prajapat, Johannes Kohler, Melanie N. Zeilinger et al.2025 · 0 citationsarXiv
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments2509.14233v2 · Project Apertus, Alejandro Hern'andez-Cano, Alexander Hagele et al.2025 · 17 citationsarXiv
Of Revolutions and Roadblocks: The Emerging Role of Machine Learning in Biocatalysis.41142335 · Vornholt, Tobias, Stockinger, Peter, Mutný, Mojmír et al.2025 · 18 citationsACS central science. 2025;11(10):1828-1838
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