Publications of M Besserve

Besserve, M.; Mehrjou, A.; Sun, R.; Schölkopf, B.: Counterfactuals uncover the modular structure of deep generative models. In: Eighth International Conference on Learning Representations (ICLR 2020). Eighth International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia, April 26, 2020 - April 30, 2020. (2020)

Geiger, P.; Besserve, M.; Winkelmann, J.; Proissl, C.; Schölkopf, B.: Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. In: 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), 49, pp. 286 - 295. 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Tel Aviv, Israel, July 22, 2019 - July 25, 2019. Curran, Red Hook, NY, USA (2019)

Besserve, M.; Sun, R.; Schölkopf, B.: Intrinsic disentanglement: an invariance view for deep generative models. In: ICML 2018 Workshop on Theoretical Foundations and Applications of Deep Generative Models. ICML 2018 Workshop on Theoretical Foundations and Applications of Deep Generative Models, Stockholm, Sweden, July 14, 2018 - July 15, 2018. (2018)

Besserve, M.; Shajarisales, N.; Schölkopf, B.; Janzing, D.: Group invariance principles for causal generative models. In: International Conference on Artificial Intelligence and Statistics, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, pp. 557 - 565 (Eds. Storkey , A.; Perez-Cruz, F.). 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Playa Blanca, Spain, April 09, 2018 - April 11, 2018. International Machine Learning Society, Madison, WI, USA (2018)

Shajarisales, N.; Janzing, D.; Schölkopf, B.; Besserve, M.: Telling Cause from Effect in Deterministic Linear Dynamical Systems. In: International Conference on Machine Learning, 7-9 July 2015, Lille, France, pp. 285 - 294 (Eds. Bach , F.; Blei, D.). 32nd International Conference on Machine Learning (ICML 2015), Lille, France. International Machine Learning Society, Madison, WI, USA (2015)

Besserve, M.; Logothetis, N.; Schölkopf, B.: Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. In: Advances in Neural Information Processing Systems 26, pp. 2535 - 2543 (Eds. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.Q.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, USA. Curran, Red Hook, NY, USA (2014)

Balduzzi, D.; Besserve, M.: Towards a learning-theoretic analysis of spike-timing dependent plasticity. In: Advances in Neural Information Processing Systems 25, pp. 2465 - 2473 (Eds. Bartlett, P.; Pereira, F.; Bottou, L.; Burges, C.; Weinberger, K.). Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, Nevada, USA, December 03, 2012 - December 06, 2012. Curran, Red Hook, NY, USA (2013)

Besserve, M.; Janzing, D.; Logothetis, N.; Schölkopf, B.: Finding dependencies between frequencies with the kernel cross-spectral density. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), pp. 2080 - 2083. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Praha, Czech Republic, May 22, 2011 - May 27, 2011. IEEE, Piscataway, NJ, USA (2011)

Logothetis, N.; Murayama, Y.; Ramirez-Villegas, J.; Besserve, M.; Evrard, H.: PGO wave-triggered functional MRI: mapping the networks underlying synaptic consolidation. In 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 670.12. 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), San Diego, CA, USA, November 12, 2016 - November 16, 2016. (2016)

Safavi, S.; Dwarakanath, A.; Besserve, M.; Kapoor, V.; Logothetis, N.; Panagiotaropoulos, T.: A Non-Monotonic Correlation Structure in the Macaque Ventrolateral Prefrontal Cortex. In AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, p. 53 (Eds. Pezaris, J.; Hatsopoulos, N.). AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece, June 22, 2016 - June 26, 2016. The AREADNE Foundation, Cambridge, MA, USA (2016)

Besserve, M.; Schölkopf, B.; Logothetis, N.: Unsupervised identification of neural events in local field potentials. In 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), 20.12. 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), Washington, DC, USA, November 15, 2014 - November 19, 2014. (2014)

Panagiotaropoulos, T.; Besserve, M.; Logothetis, N.: Beta oscillations propagate as traveling waves in the macaque prefrontal cortex. In 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), 413.03. 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), New Orleans, LA, USA. (2012)

Safavi, S.; Logothetis, N.; Besserve, M.: Multivariate coupling estimation between continuous signals and point processes. NeurIPS 2019 Workshop: Learning with Temporal Point Processes, Vancouver, Canada (2019)

Besserve, M.: Can we help the brain rewire itself? Hints from the functions and mechanisms acting during sleep. Data, Learning and Inference (DALI 2019), San Sebastian, Spain (2019)

Besserve, M.: Machine Learning and Neuroscience. Machine Learning Summer School 2019, Moskva, Russia (2019)

Besserve, M.: Machine Learning and Neuroscience: Part 2. Machine Learning Summer School 2019, Moskva, Russia (2019)

Logothetis, N.; Eschenko, O.; Besserve, M.; Murayama, Y.; Evrard, H.; Ramirez-Villegas, J.: Concurrent multisite recordings and brain imaging: a study of events related system and synaptic memory consolidation. AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece (2018)

Besserve, M.; Heinze-Deml, C.: Uncovering the structure of complex data: progresses in machine learning and causal inference. Data Learning and Inference (DALI 2017), Tenerife, Spain (2017)

Besserve, M.; Safavi, S.: Practical on Machine Learning for Neuroscience. Machine Learning Summer School (MLSS 2016), Cádiz, Spain (2016)

Logothetis, N.; Eschenko, O.; Murayama, Y.; Augath, M.; Steudel, T.; Evrard, H.; Besserve, M.; Oeltermann, A.: Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI. Twenty-Second Annual Computational Neuroscience Meeting (CNS*2013), Paris, France (2013)