Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework

Authors: Prajapat, Manish, Lahr, Amon, Kohler, Johannes, Krause, Andreas, Zeilinger, Melanie N.

Source: 2024 IEEE 63rd Conference on Decision and Control (CDC) Decision and Control (CDC), 2024 IEEE 63rd Conference on. :7458-7465 Dec, 2024

Relation: 2024 IEEE 63rd Conference on Decision and Control (CDC)

A PAC-Bayesian Framework for Optimal Control with Stability Guarantees

Authors: Boroujeni, Mahrokh Ghoddousi, Galimberti, Clara LucIa, Krause, Andreas, Ferrari-Trecate, Giancarlo

Source: 2024 IEEE 63rd Conference on Decision and Control (CDC) Decision and Control (CDC), 2024 IEEE 63rd Conference on. :8237-8244 Dec, 2024

Relation: 2024 IEEE 63rd Conference on Decision and Control (CDC)

Bridging the Sim-to-Real Gap with Bayesian Inference

Authors: Rothfuss, Jonas, Sukhija, Bhavya, Treven, Lenart, Dorfler, Florian, Coros, Stelian, Krause, Andreas

Source: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Intelligent Robots and Systems (IROS), 2024 IEEE/RSJ International Conference on. :10784-10791 Oct, 2024

Relation: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Confidence Estimation via Sequential Likelihood Mixing

Authors: Kirschner, Johannes, Krause, Andreas, Meziu, Michele, Mutny, Mojmir

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2502.14689

Probabilistic Artificial Intelligence

Authors: Krause, Andreas, Hübotter, Jonas

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2502.05244

Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning

Authors: Bao, Kaixi, Li, Chenhao, As, Yarden, Krause, Andreas, Hutter, Marco

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Robotics

Access URL: http://arxiv.org/abs/2502.01521

International AI Safety Report

Authors: Bengio, Yoshua, Mindermann, Sören, Privitera, Daniel, Besiroglu, Tamay, Bommasani, Rishi, Casper, Stephen, Choi, Yejin, Fox, Philip, Garfinkel, Ben, Goldfarb, Danielle, Heidari, Hoda, Ho, Anson, Kapoor, Sayash, Khalatbari, Leila, Longpre, Shayne, Manning, Sam, Mavroudis, Vasilios, Mazeika, Mantas, Michael, Julian, Newman, Jessica, Ng, Kwan Yee, Okolo, Chinasa T., Raji, Deborah, Sastry, Girish, Seger, Elizabeth, Skeadas, Theodora, South, Tobin, Strubell, Emma, Tramèr, Florian, Velasco, Lucia, Wheeler, Nicole, Acemoglu, Daron, Adekanmbi, Olubayo, Dalrymple, David, Dietterich, Thomas G., Felten, Edward W., Fung, Pascale, Gourinchas, Pierre-Olivier, Heintz, Fredrik, Hinton, Geoffrey, Jennings, Nick, Krause, Andreas, Leavy, Susan, Liang, Percy, Ludermir, Teresa, Marda, Vidushi, Margetts, Helen, McDermid, John, Munga, Jane, Narayanan, Arvind, Nelson, Alondra, Neppel, Clara, Oh, Alice, Ramchurn, Gopal, Russell, Stuart, Schaake, Marietje, Schölkopf, Bernhard, Song, Dawn, Soto, Alvaro, Tiedrich, Lee, Varoquaux, Gaël, Yao, Andrew, Zhang, Ya-Qin, Albalawi, Fahad, Alserkal, Marwan, Ajala, Olubunmi, Avrin, Guillaume, Busch, Christian, de Carvalho, André Carlos Ponce de Leon Ferreira, Fox, Bronwyn, Gill, Amandeep Singh, Hatip, Ahmet Halit, Heikkilä, Juha, Jolly, Gill, Katzir, Ziv, Kitano, Hiroaki, Krüger, Antonio, Johnson, Chris, Khan, Saif M., Lee, Kyoung Mu, Ligot, Dominic Vincent, Molchanovskyi, Oleksii, Monti, Andrea, Mwamanzi, Nusu, Nemer, Mona, Oliver, Nuria, Portillo, José Ramón López, Ravindran, Balaraman, Rivera, Raquel Pezoa, Riza, Hammam, Rugege, Crystal, Seoighe, Ciarán, Sheehan, Jerry, Sheikh, Haroon, Wong, Denise, Zeng, Yi

Subject Terms: Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2501.17805

LITE: Efficiently Estimating Gaussian Probability of Maximality

Authors: Menet, Nicolas, Hübotter, Jonas, Kassraie, Parnian, Krause, Andreas

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Computation, Statistics - Methodology

Access URL: http://arxiv.org/abs/2501.13535

Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics

Authors: Li, Chenhao, Krause, Andreas, Hutter, Marco

Subject Terms: Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2501.10100

A Front End Design in K- and Ka-Band for a Hybrid Steerable Multi-Beam Satellite Antenna Array

Authors: Krause, Andreas, Tyroller, Engelbert, Lindenmeier, Stefan

Source: 2024 21st European Radar Conference (EuRAD) Radar Conference (EuRAD), 2024 21st European. :409-412 Sep, 2024

Relation: 2024 21st European Radar Conference (EuRAD)

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Authors: Sukhija, Bhavya, Coros, Stelian, Krause, Andreas, Abbeel, Pieter, Sferrazza, Carmelo

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Robotics

Access URL: http://arxiv.org/abs/2412.12098

Generative Intervention Models for Causal Perturbation Modeling

Authors: Schneider, Nora, Lorch, Lars, Kilbertus, Niki, Schölkopf, Bernhard, Krause, Andreas

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2411.14003

International Scientific Report on the Safety of Advanced AI (Interim Report)

Authors: Bengio, Yoshua, Mindermann, Sören, Privitera, Daniel, Besiroglu, Tamay, Bommasani, Rishi, Casper, Stephen, Choi, Yejin, Goldfarb, Danielle, Heidari, Hoda, Khalatbari, Leila, Longpre, Shayne, Mavroudis, Vasilios, Mazeika, Mantas, Ng, Kwan Yee, Okolo, Chinasa T., Raji, Deborah, Skeadas, Theodora, Tramèr, Florian, Adekanmbi, Bayo, Christiano, Paul, Dalrymple, David, Dietterich, Thomas G., Felten, Edward, Fung, Pascale, Gourinchas, Pierre-Olivier, Jennings, Nick, Krause, Andreas, Liang, Percy, Ludermir, Teresa, Marda, Vidushi, Margetts, Helen, McDermid, John A., Narayanan, Arvind, Nelson, Alondra, Oh, Alice, Ramchurn, Gopal, Russell, Stuart, Schaake, Marietje, Song, Dawn, Soto, Alvaro, Tiedrich, Lee, Varoquaux, Gaël, Yao, Andrew, Zhang, Ya-Qin

Subject Terms: Computer Science - Computers and Society, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2412.05282

Residual Deep Gaussian Processes on Manifolds

Authors: Wyrwal, Kacper, Krause, Andreas, Borovitskiy, Viacheslav

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2411.00161

All models are wrong, some are useful: Model Selection with Limited Labels

Authors: Okanovic, Patrik, Kirsch, Andreas, Kasper, Jannes, Hoefler, Torsten, Krause, Andreas, Gürel, Nezihe Merve

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2410.13609

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning

Authors: As, Yarden, Sukhija, Bhavya, Treven, Lenart, Sferrazza, Carmelo, Coros, Stelian, Krause, Andreas

Subject Terms: Computer Science - Machine Learning, Computer Science - Robotics

Access URL: http://arxiv.org/abs/2410.09486

Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Authors: Hübotter, Jonas, Bongni, Sascha, Hakimi, Ido, Krause, Andreas

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2410.08020

Amortized SHAP values via sparse Fourier function approximation

Authors: Gorji, Ali, Amrollahi, Andisheh, Krause, Andreas

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2410.06300

Active Fine-Tuning of Generalist Policies

Authors: Bagatella, Marco, Hübotter, Jonas, Martius, Georg, Krause, Andreas

Subject Terms: Computer Science - Machine Learning, Computer Science - Robotics

Access URL: http://arxiv.org/abs/2410.05026

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design

Authors: Bal, Melis Ilayda, Sessa, Pier Giuseppe, Mutny, Mojmir, Krause, Andreas

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Quantitative Biology - Biomolecules, Quantitative Biology - Quantitative Methods

Access URL: http://arxiv.org/abs/2409.18582