Centre for AI Fundamentals

Research output

Research output per year 2019 2023 2024 2025

• 71 Article
• 54 Conference contribution
• 24 Preprint
• 7 Poster
• 17 More
  • 5 Paper
  • 4 Conference article
  • 2 Chapter
  • 2 Review article
  • 1 Abstract
  • 1 Meeting Abstract
  • 1 Commentary/debate
  • 1 Letter

Research output per year

Research output per year

Search results

• 2025

  Amortized Bayesian Experimental Design for Decision-Making

  Huang, D., Guo, Y., Acerbi, L. & Kaski, S., Feb 2025, Advances in Neural Information Processing Systems 37: 38th Conference on Neural Information Processing Systems (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). 9798331314385: Neural Information Processing Systems Foundation, Inc., p. 1-2 27 p. (Advances in Neural Information Processing Systems; vol. 37).

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  • System Parameter 100%
  • Design Method 100%
  • Decision Process 100%
  • Decision-Making 100%
  • Design Framework 25%

• Automating the practice of science: Opportunities, challenges, and implications

  Musslick, S., Bartlett, L. K., Chandramouli, S. H., Dubova, M., Gobet, F., Griffiths, T. L., Hullman, J., King, R. D., Kutz, J. N., Lucas, C. G., Mahesh, S., Pestilli, F., Sloman, S. J. & Holmes, W. R., 4 Feb 2025, In: Proceedings of the National Academy of Sciences of the United States of America. 122, 5, 10 p., e2401238121.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Reproducibility 100%
  • Scientific Innovations 100%

• Conformalized Credal Regions for Classification with Ambiguous Ground Truth

  Caprio, M., Li, S., Stutz, D. & Doucet, A., 3 Feb 2025, In: Transactions on Machine Learning Research .

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Conformal Prediction 100%

• Conformal Prediction Regions are Imprecise Highest Density Regions

  Caprio, M., Sale, Y. & Hüllermeier, E., 2025, International Symposium on Imprecise Probabilities: Theories and Applications 2025.

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

• Distributionally Robust Statistical Verification with Imprecise Neural Networks

  Dutta, S., Caprio, M., Lin, V., Cleaveland, M., Jang, K. J., Ruchkin, I., Sokolsky, O. & Lee, I., 21 May 2025, Hybrid Systems: Computation and Control 2025.

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • System Black Box 100%

• Efficient Biological Data Acquisition through Inference Set Design

  Neporozhnii, I., Roy, J., Bengio, E. & Hartford, J., 11 Feb 2025, (E-pub ahead of print) 13th International Conference on Learning Representations.

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Systems Performance 100%
  • Active Learning 100%
  • High Throughput 50%
  • Feature Subset Selection 50%

• Global Convergence of SGD On Two Layer Neural Nets

  Gopalani, P. & Mukherjee, A., 20 Jan 2025, In: Information and Inference: a Journal of the IMA. 22 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Neural Network 100%
  • Regularization 50%
  • Loss Function 50%
  • Convergence Rate 50%
  • Continuous Time 50%

• Hierarchical Physics-Informed Neural Network for Rotor System Health Assessment

  Liu, X., Cheng, W., Xing, J., Chen, X., Zhao, Z., Gao, L., Zhang, R., Huang, Q., Zhou, H., Zheng, W. X. & Pan, W., 1 Jan 2025, In: IEEE Transactions on Automation Science and Engineering.

  Research output: Contribution to journal › Article › peer-review

  • Rotor System 100%
  • Physics Informed Neural Network 100%
  • Operators (Mathematics) 100%
  • Neural Network 100%
  • Noise Measurement 28%

• Is Ockham's razor losing its edge? New perspectives on the principle of model parsimony

  Dubova, M., Chandramouli, S., Gigerenzer, G., Grunwaldf, P., Holmes, W., Lombrozo, T., Marelli, M., Musslick, S., Nicenboim, B., Ross, L. N., Shiffrin, R., White, M., Wagenmakers, E.-J., Buerkner, P.-C. & Sloman, S. J., 4 Feb 2025, In: Proceedings of the National Academy of Sciences of the United States of America. 122, 5, 10 p., e2401230121.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Scientific Theory 100%
  • Misspecification 100%

• Langevin Monte-Carlo Provably Learns Depth Two Neural Nets at Any Size and Data

  Kumar, D., Jha, S. & Mukherjee, A., 14 Mar 2025, (In preparation) arXiv.org.

  Research output: Preprint/Working paper › Preprint

  • Gibbs Distribution 100%
  • Gibbs Free Energy 100%
  • Neural Loss 100%

• Multi-Objective Sequential Decision Making for Holistic Supply Chain Optimization

  Rachman, R., Tingey, J., Allmendinger, R., Shukla, P. & Pan, W., 28 Feb 2025, (E-pub ahead of print) 2025 International Conference on Evolutionary Multi-Criterion Optimization (EMO'25) . Springer Singapore, Vol. 15512. p. 259–274

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • Reinforcement Learning 100%
  • Multiobjective 100%
  • Sequential Decision Making 100%
  • Genetic Algorithm 100%
  • Pythonidae 100%
  12 Downloads (Pure)

• Optimal Transport for ε-Contaminated Credal Sets: To the Memory of Sayan Mukherjee

  Caprio, M., 18 Jul 2025, International Symposium on Imprecise Probabilities: Theories and Applications 2025.

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

• Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters

  Wang, Y., Li, O., Mu, T., Hao, Y., Liu, K., Wang, X. & He, X., 26 Feb 2025, (Accepted/In press) The IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR.

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Diffusion Model 100%
  • Orthogonal Complement 100%
  • Experimental Result 50%
  • Shift Factor 50%
  • Image Synthesis 50%

• Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice

  De Peuter, S., Zhu, S., Guo, Y., Howes, A. & Kaski, S., Feb 2025, Advances in Neural Information Processing Systems 37: 38th Conference on Neural Information Processing Systems (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural Information Processing Systems Foundation, Inc., p. 1-29 29 p. (Advances in Neural Information Processing Systems; vol. 37).

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Preference Learning 100%
  • Decision Utility 100%
  • Behavior (Neuroscience) 100%
  • Choice Behavior 20%

• Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks

  Tucat, M., Mukherjee, A., Sun, M., Sen, P. & Rivasplata, O., 2025, In: Transactions on Machine Learning Research. 2025-June

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Deep Neural Network 100%
  • Minimizes 33%
  • Step Size 33%
  • Neural Network 33%
  • Deep Learning Method 33%

• Robust Bayesian inference for moving horizon estimation

  Cao, W., Liu, C., Lan, Z., Li, S. E., Pan, W. & Alessandri, A., 1 Mar 2025, In: Automatica. 173, 112108.

  Research output: Contribution to journal › Article › peer-review

  • Optimisation Problem 100%
  • Cost Function 100%
  • Computational Complexity 100%
  • Nonlinear System 100%
  • Bayesian Inference 100%

• Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC

  Zhang, X., Pan, W., Li, C., Xu, X., Wang, X., Zhang, R. & Hu, D., 20 Jan 2025, (E-pub ahead of print) In: IEEE Transactions on Robotics. p. 1 - 20

  Research output: Contribution to journal › Article › peer-review

  • Multirotor 100%
  • Prediction Interval 55%

• TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

  Nikitin, A., Iannucci, L. & Kaski, S., Feb 2025, Advances in Neural Information Processing Systems 37: 38th Conference on Neural Information Processing Systems (NeurIPS 2024). Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural Information Processing Systems Foundation, Inc., p. 1-20 20 p. (Advances in Neural Information Processing Systems; vol. 37).

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Machine Learning 100%
  • Learning System 100%
  • Data Sharing 33%
  • Open Source 33%
  • Temporal Data 33%
• 2024

  Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning

  Liu, T., Li, Y., Lan, Y., Gao, H., Pan, W. & Xu, X., 29 Jul 2024, In: Proceedings of Machine Learning Research. 235, p. 31406-31424 19 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Regularization 100%
  • Reinforcement Learning 100%
  • Performance Art 100%
  • Constrains 33%
  • Experimental Result 33%

• Adiabatic expansion cooling of antihydrogen

  The ALPHA Collaboration, Jul 2024, In: Physical Review Research. 6, 3, L032065.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Laser Cooling 100%
  • Degree of Freedom 100%

• Aligning Individual and Collective Objectives in Multi-Agent Cooperation

  Li, Y., Zhang, W., Wang, J., Zhang, S., Du, Y., Wen, Y. & Pan, W., 22 Oct 2024, arXiv.org, p. 1-20, 20 p. (ArXiv.org).

  Research output: Preprint/Working paper › Preprint

  • multiagent learning 100%
  • Public Goods 100%

• A note on generalization bounds for losses with finite moments

  Rodríguez-Gálvez, B., Rivasplata, O., Thobaben, R. & Skoglund, M., Jul 2024, IEEE International Symposium on Information Theory. Proceedings, p. 2-10 9 p.

  Research output: Contribution to specialist publication › Article

  File

  • Variance 100%
  • Heavy Tail 100%
  • Truncation 100%
  3 Downloads (Pure)

• A Note on the Convergence of Denoising Diffusion Probabilistic Models

  Mbacke, S. D. & Rivasplata, O., Jun 2024, (Accepted/In press) In: Transactions on Machine Learning Research . p. 1-13 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Denoising Diffusion Probabilistic Models 100%
  • Generating Distribution 100%
  • Score Function 50%
  • score function ψ 50%

• A novel and efficient machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition

  Legault, M.-A., Hartford, J., Arsenault, B. J., Yang, A. Y. & Pineau, J., 9 Feb 2024, Cold Spring Harbor Laboratory Press, (medRxiv).

  Research output: Preprint/Working paper › Preprint

  • Mendelian Randomization Analysis 100%
  • Sclerostin 100%
  • Randomization 100%
  • Learning System 100%
  • Mendelian Randomization 100%

• A Novel Bayes' Theorem for Upper Probabilities

  Caprio, M., Sale, Y., Hüllermeier, E. & Lee, I., 24 Apr 2024, Epistemic Uncertainty in Artificial Intelligence: First International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers. Cuzzolin, F. & Sultana, M. (eds.). Cham: Springer Cham, p. 1-12 12 p. (Lecture Notes in Computer Science; vol. 14523).

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  File

  • Measurable Set 100%
  49 Downloads (Pure)

• Bayesian quadrature policy optimization for spacecraft proximity maneuvers and docking

  Du, D., Liu, Y., Zhang, O., Qi, N., Yao, W. & Pan, W., 1 Nov 2024, In: Aerospace Science and Technology. 154, 109474.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Optimization Policy 100%
  • Testbed 50%
  • Reinforcement Learning 50%
  • Markov Decision Process 50%
  • lyapunov theory 50%

• Bayesian reduced rank regression models generalizable neural fingerprints that differentiate between individuals in magnetoencephalography data

  Haakana, J., Merz, S., Kaski, S., Renvall, H. & Salmelin, R., 14 Mar 2024, In: European Journal of Neuroscience. 59, 9, p. 2320-2335 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Reduced-Rank Regression Model 100%
  • Reduced Rank Regression 100%

• Chaotic Systems and Neural Networks

  Craciun, C. & Mukherjee, A., 2 Jun 2024, p. 1-3. 3 p.

  Research output: Contribution to conference › Poster › peer-review

  Open Access

  • Chaotic System 100%

• Collaborative learning from distributed data with differentially private synthetic data

  Prediger, L., Jälkö, J., Honkela, A. & Kaski, S., 14 Jun 2024, In: BMC Medical Informatics and Decision Making. 24, 1, p. 1-14 14 p., 167.

  Research output: Contribution to journal › Article › peer-review

  • Synthetic Data 100%
  • Collaborative Learning 100%
  • Distributed Data 100%
  • Privacy Preserving 33%
  • Data Sharing 16%

• Composite Concept Extraction through Backdooring

  Ghosh, B., Harikumar, H., Doan, K., Venkatesh, S. & Rana, S., 2024, In FGVC, CVPR Workshop, non-archival, *equal contribution.

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

• Credal Bayesian Deep Learning

  Caprio, M., Dutta, S., Jang, K. J., Lin, V., Ivanov, R., Sokolsky, O. & Lee, I., Oct 2024, In: Transactions on Machine Learning Research .

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Bayesian 100%
  • Finite Collection 12%
  • Scientific Modelling 7%
  • Machine Learning 7%
  • Neural Ensemble 7%
  55 Downloads (Pure)

• Credal Learning Theory

  Caprio, M., Sultana, M., Elia, E. G. & Cuzzolin, F., Oct 2024, p. 1-31. 31 p.

  Research output: Contribution to conference › Paper › peer-review

  File

  • Training Set 100%
  • Probability Distribution 50%
  • Data Distribution 50%
  • Convex Set 50%
  • Learned Model 50%
  37 Downloads (Pure)

• Cross-Utterance Conditioned VAE for Speech Generation

  Li, Y., Yu, C., Sun, G., Zu, W., Tian, Z., Wen, Y., Pan, W., Zhang, C., Wang, J., Yang, Y. & Sun, F., 2024, In: IEEE/ACM Transactions on Audio Speech and Language Processing. 32, p. 4263-4276 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Variational Autoencoder 100%
  • Speech Generation 100%
  • Spectrogram 100%
  • Neural Network 100%
  • Autoencoder 100%

• DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention

  Zhang, Z., Zhang, D., Zhang, Q., Pan, W. & Hu, T., 1 Jun 2024, In: IEEE Robotics and Automation Letters. 9, 6, p. 5504-5511 8 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Robot 100%
  • Reinforcement Learning 66%
  • Information Loss 33%
  • Attention (Machine Learning) 33%
  • Attention Score 33%

• Data-Enabled Tire-Road Friction Estimation Based on Explainable Dynamics Mechanism under Straight Stationary Driving Maneuvers

  Chen, L., Qin, Z., Hu, M., Bian, Y., Peng, X. & Pan, W., 1 Jun 2024, In: IEEE Transactions on Intelligent Transportation Systems. 25, 6, p. 5854-5866 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Single Wheel 100%

• DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models

  Lin, V., Jang, K. J., Dutta, S., Caprio, M., Sokolsky, O. & Lee, I., 15 Jul 2024, Proceedings of Machine Learning Research: 6th Annual Learning for Dynamics & Control Conference, 15-17 July 2024, University of Oxford, Oxford, UK. Vol. 242. p. 1526-1538

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  File

  • State of the Art 100%
  • Decision Process 100%
  • Decision Making 100%
  • Shifted Data 50%
  • Markov Decision Process 50%
  43 Downloads (Pure)

• Deep Bayesian Experimental Design for Drug Discovery

  Masood, M. A., Cui, T. & Kaski, S., 27 Sept 2024, AI in Drug Discovery: First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Proceedings. Clevert, D.-A., Wand, M., Malinovská, K., Schmidhuber, J. & Tetko, I. V. (eds.). Cham: Springer Cham, p. 149-159 11 p. (Lecture Notes in Computer Science; vol. 1611-3349).

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Active Learning 100%
  • Neural Network 100%
  • Bidirectional Encoder Representations From Transformers 33%
  • Representation Learning 16%
  • High Proportion 16%

• Deep Koopman learning of nonlinear time-varying systems

  Hao, W., Huang, B., Pan, W., Wu, D. & Mou, S., Jan 2024, In: Automatica. 159, 111372.

  Research output: Contribution to journal › Article › peer-review

  • Approximation Error 100%
  • Linear Time 100%
  • Approximation (Algorithm) 100%
  • Deep Neural Network 100%
  • Approximates 50%

• Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model

  Bueno-Crespo, A., Martinez-Espana, R., Morales-Garcia, J., Ortiz-Gonzalez, A., Imbernon, B., Martinez-Mas, J., Rosique-Egea, D. & Alvarez, M. A., 31 May 2024, Bioinspired Systems for Translational Applications: From Robotics to Social Engineering: 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4–7, 2024, Proceedings, Part II. Vicente, J., Calvo, M. & Adeli, H. (eds.). Cham: Springer Cham, p. 451-460 10 p. (Lecture Notes in Computer Science; vol. 14675).

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  • Deep Learning Method 100%
  • Mass Screening 100%
  • Screening Program 50%
  • Automatic Classification 50%
  • Classification Models 50%

• Do the Right Thing, Just Debias! Multi-Category Bias Mitigation Using LLMs

  Roy, A., Khanna, D., Mahapatra, D., Vasanthakumar, Das, A. & Ghosh, K., 24 Sept 2024.

  Research output: Preprint/Working paper › Preprint

  File

  • Valuable Resource 100%
  • Reinforcement Learning 100%
  • Generalizability 100%
  • Large Language Model 100%
  • Artificial Intelligence 100%
  1 Downloads (Pure)

• DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models

  Das, A., Yadav, R., Sun, S., Sun, M., Kaski, S. & Pan, W., 2024, (Submitted).

  Research output: Preprint/Working paper › Preprint

  • Trajectory Tracking 100%
  • Adaptive Control Systems 100%
  • Diffusion Model 100%
  • Quadcopter 100%

• DynGFN: Towards bayesian inference of gene regulatory networks with gflownets

  Atanackovic, L., Tong, A., Wang, B., Lee, L. J., Bengio, Y. & Hartford, J. S., 2024, In: Advances in Neural Information Processing Systems . 36

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion

  Zeng, H., Wang, J., Das, A., He, J., Han, K., Hu, H. & Sun, M., 18 Jun 2024, arXiv.org, p. 1-13, 13 p.

  Research output: Preprint/Working paper › Preprint

  File
  47 Downloads (Pure)

• Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion

  Zeng, H., Wang, J., Das, A., He, J., Han, K., Hu, H. & Sun, M., 24 Aug 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4107-4118 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Integer Programming 100%
  • Feasible Solution 100%
  • Deep Learning Method 25%
  • Speed-up 12%
  • Partial Solution 12%

• Embarrassingly Parallel GFlowNets

  da Silva, T., Carvalho, L. M., Souza, A., Kaski, S. & Mesquita, D., 5 Jun 2024, Proceedings of the 41st International Conference on Machine Learning. Journal of Machine Learning Research, p. 45406-45431 26 p.

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Multiobjective 100%
  • Random Variable 100%
  • Target Distribution 100%
  • Client Server 100%
  • Multi-Objective Optimization 100%

• Enhancing healthcare decision support through explainable AI models for risk prediction

  Niu, S., Yin, Q., Ma, J., Song, Y., Xu, Y., Bai, L., Pan, W. & Yang, X., Jun 2024, In: Decision Support Systems. 181, 114228.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Explainable Artificial Intelligence 100%
  • Decision Support System 100%
  • Artificial Intelligence Model 100%
  • Clustering 100%
  • Neural Network 100%

• Entity Footprinting: Modeling Contextual User States via Digital Activity Monitoring

  Rezaei Yousefi, Z., Vuong, T., Al-Ghossein, M., Ruotsalo, T., Jacucci, G. & Kaski, S., 22 Apr 2024, In: ACM Transactions on Interactive Intelligent Systems . 14, 2, p. 1 - 27 9.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Monitoring Activity 100%
  • Contextual Information 50%
  • And-States 50%
  • Detection Accuracy 50%
  • User Monitoring 50%

• Estimating treatment effects from single-arm trials via latent-variable modeling

  Haussmann, M., Le, T. M. S., Halla-aho, V., Kurki, S., Leinonen, J., Koskinen, M., Kaski, S. & Lahdesmaki, H., 4 Mar 2024, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics. Journal of Machine Learning Research, Vol. 238. p. 2926-2934 9 p.

  Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Treatment Effect 100%
  • Arm Trial 100%
  • Randomized Controlled Trial 100%
  • Direct Treatment Effect 100%
  • Latent Variable Modeling 100%

• Event generators for high-energy physics experiments

  Campbell, J. M., Diefenthaler, M., Hobbs, T. J., Höche, S., Isaacson, J., Kling, F., Mrenna, S., Reuter, J., Alioli, S., Andersen, J. R., Andreopoulos, C., Ankowski, A. M., Aschenauer, E. C., Ashkenazi, A., Baker, M. D., Barrow, J. L., van Beekveld, M., Bewick, G., Bhattacharya, S. & Bierlich, C. & 192 others, Bothmann, E., Bredt, P., Broggio, A., Buckley, A., Butter, A., Butterworth, J. M., Byrne, E. P., Carloni-Calame, C., Chakraborty, S., Chen, X., Chiesa, M., Childers, J. T., Cruz-Martinez, J., Currie, J., Darvishi, N., Dasgupta, M., Denner, A., Dreyer, F. A., Dytman, S., El-Menoufi, B. K., Engel, T., Ravasio, S. F., Figueroa, D., Flower, L., Forshaw, J. R., Frederix, R., Friedland, A., Frixione, S., Gallagher, H., Gallmeister, K., Gardiner, S., Gauld, R., Gaunt, J., Gavardi, A., Gehrmann, T., Gehrmann-De Ridder, A., Gellersen, L., Giele, W., Gieseke, S., Giuli, F., Glover, E. W. N., Grazzini, M., Grohsjean, A., Gütschow, C., Hamilton, K., Han, T., Hatcher, R., Heinrich, G., Helenius, I., Hen, O., Hirschi, V., Höfer, M., Holguin, J., Huss, A., Ilten, P., Jadach, S., Jentsch, A., Jones, S. P., Ju, W., Kallweit, S., Karlberg, A., Katori, T., Kerner, M., Kilian, C., Kilian, W., Kirchgaeßer, M. M., Klein, S., Knobbe, M., Krause, C., Krauss, F., Lang, J., Lang, J., Lee, G., Li, S. W., Lim, M. A., Lindert, J. M., Lombardi, D., Lönnblad, L., Löschner, M., Lurkin, N., Ma, Y., Machado, P., Magerya, V., Maier, A., Majer, I., Maltoni, F., Marcoli, M., Marinelli, G., Masouminia, M. R., Mastrolia, P., Mattelaer, O., Mazzitelli, J., McFayden, J., Medves, R., Meinzinger, P., Mo, J., Monni, P. F., Montagna, G., Morgan, T., Mosel, U., Nachman, B., Nadolsky, P., Nagar, R., Nagy, Z., Napoletano, D., Nason, P., Neumann, T., Nevay, L. J., Nicrosini, O., Niehues, J., Niewczas, K., Ohl, T., Ossola, G., Pandey, V., Papadopoulou, A., Papaefstathiou, A., Paz, G., Pellen, M., Pelliccioli, G., Peraro, T., Piccinini, F., Pickering, L., Pires, J., Placzek, W., Plätzer, S., Plehn, T., Pozzorini, S., Prestel, S., Preuss, C. T., Price, A. C., Quackenbush, S., Re, E., Reichelt, D., Reina, L., Reuschle, C., Richardson, P., Rocco, M., Rocco, N., Roda, M., Garcia, A. R., Roiser, S., Rojo, J., Rottoli, L., Salam, G. P., Schönherr, M., Schuchmann, S., Schumann, S., Schürmann, R., Scyboz, L., Seymour, M. H., Siegert, F., Signer, A., Chahal, G. S., Siódmok, A., Sjöstrand, T., Skands, P., Smillie, J. M., Sobczyk, J. T., Soldin, D., Soper, D. E., Soto-Ontoso, A., Soyez, G., Stagnitto, G., Tena-Vidal, J., Tomalak, O., Tramontano, F., Trojanowski, S., Tu, Z., Uccirati, S., Ullrich, T., Ulrich, Y., Utheim, M., Valassi, A., Verbytskyi, A., Verheyen, R., Wagman, M., Walker, D., Webber, B. R., Weinstein, L., White, O., Whitehead, J., Wiesemann, M., Wilkinson, C., Williams, C., Winterhalder, R., Wret, C., Xie, K., Yang, T.-Z., Yazgan, E., Zanderighi, G., Zanoli, S. & Zapp, K., 24 May 2024, In: SciPost Physics.

  Research output: Contribution to journal › Article › peer-review

• Explore your experimental designs and theories before you exploit them!

  Dubova, M., Sloman, S., Andrew, B., Nassar, M. & Musslick, S., 5 Feb 2024, In: Behavioral and Brain Sciences. 47, 70 p., e40.

  Research output: Contribution to journal › Commentary/debate › peer-review

  • Design Experiment 100%
  • Experimental Paradigm 100%
  • Behavioural Science 100%
  • Social Sciences 100%