May 2026. GESDA – Anticipating the Future of AI for Science Workshop, Online (The Internet). Multi-fidelity active learning and generative models for science. link
March 2026. Université de Montréal, Montreal (Québec). Forum des Cercles 2026 : Intelligence artificielle, climat, démocratie, culture (panel). link
March 2026. HEC Montréal, Montreal (Québec). Le numérique à l’épreuve de la sobriété: Enjeux, potentiels d’innovation et nouvelles trajectoires (panel). link
March 2026. Auditorium de la Grande Bibliothèque (BAnQ), Montreal (Québec). Obvia: Procès de l’IA - L’IA détruit-elle l’environnement?. link
January 2026. Department of Canadian Heritage, Online (The Internet). An introduction to the environmental impacts of AI. slides
September 2025. Infolab Summit on Climate Mis/Disinformation, Ottawa (Canada). Panel: Digital Platforms, AI, and the Climate Information Environment.
September 2025. ALL IN, Montreal (Canada). Panel: AI and Climate Change: Can AI Help Solve the Planet’s Biggest Challenges?.
September 2025. Mila Sampling Reading Group, Montreal (Canada). Sampling materials and molecules as sequential decision making with GFlowNets. slides
September 2025. Software Engineering at Montreal, Montreal (Canada). Generative and active machine learning for scientific discoveries. slides
August 2025. Deep Learning Indaba (Virtual), Africa (Africa). Generative and active machine learning for scientific discoveries. slides
August 2025. École d’été du RQÉMP & AMA 2025, Sherbrooke (Canada). Machine learning for materials discovery: An introduction to GFlowNets and Crystal-GFN. slides
July 2025. Conference on Strongly Correlated Electron Systems, Montreal (Canada). Crystal-GFN: A generative machine learning model to discover crystals with desirable properties and constraints. slides
July 2025. SIAM 2025 · Computational Data Science of Nanostructures, Montreal (Canada). Towards equilibrium molecular conformation generation with GFlowNets. slides
July 2025. Canada-Korea Conference on Science and Technology, Montreal (Canada). Generative and active machine learning for scientific discovery. slides
June 2025. Green ECC, Casablanca (Morocco). Green Computing: Intelligence artificielle et la crise climatique. slides
May 2025. Mila's Responsible AI & Human Rights Summer School, Montréal (Canada). Connecting the dots between AI ethics and sustainability. slides
April 2025. University of Nagoya, Nagoya (Japan). Generative and active learning with GFlowNets for scientific discovery. slides
April 2025. Université Concordia, Montréal (Canada). Multi-Disiplinary Approaches to AI Panel Discussion.
March 2025. Ordre des ingénieurs du Québec, Online (Québec). Intelligence artificielle et la crise climatique – Défis et opportunités pour l’ingénierie. slides
February 2025. Mila Tea Talk, Montréal (Canada). Multi-fidelity active learning for scientific discoveries. slides
July 2024. AI4Science Seminar (SAIT), Seoul (South Korea). Generative modelling and active learning with GFlowNets for scientific discoveries. slides
May 2024. Future Horizons, Montreal, QC (Canada). Active learning and generative modelling for scientific discoveries. slides
April 2024. Exploiter l’IA pour accélérer la découverte de nouveaux matériaux et molécules, Montreal, QC (Canada). Crystal-GFN: A generative model to discover crystal structures with desirable properties and constraints. slides
November 2023. klaviyo, Boston, MA (USA). AI against climate change: Accelerating scientific discovery and raising awareness with visualisations. slides
July 2023. NU Circle, Egypt, Online (The Internet). AI against climate change: Accelerating scientific discovery and raising awareness with visualisations. slides
June 2023. Artificial Intelligence for Design Challenge program, NRC Canada, Online (The Internet). Multi-fidelity active learning with GFlowNets to accelerate scientific discoveries. slides
April 2023. Cognition in a Changing World, Case Western Reserve University, Cleveland, OH (USA). AI against climate change: Accelerating scientific discovery and raising awareness with visualisations. slides
March 2023. MMICCs Webinar Series, SEA-CROGS, Pacific Northwest National Laboratory, Online (The Internet). GFlowNets: Introduction and Applications to AI-Driven Scientific Discovery. slides
February 2023. Research Society Manipal Institute of Technology, Manipal (India). AI to fight climate change: Visualising extreme climate events and accelerating scientific discovery. slides
July 2022. Department of Signal Theory and Communications, University Carlos III of Madrid, Madrid (Spain). Machine learning contra el cambio climático: Simulación de eventos climáticos y descubrimiento de materiales con GFlowNets. slides
January 2022. Intelligent Machines, Emotions, and our Planet, StockholmOnline (SwedenThe Internet). ThisClimateDoesNotExist.com: AI to visualise climate change impacts on street photos.
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November 2021. GIS Day, McGill University, MontréalOnline (Québec, CanadaThe Internet). ThisClimateDoesNotExist.com: Visualising climate change impacts on street photos.
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November 2021. Samsung-Mila-NYU Workshop, Online (The Internet). Deep active learning for DNA aptamer design.
August 2021. European Conference on Visual Perception (ECVP), Online (The Internet). Global visual salience of competing stimuli. slides
July 2021. Women in Machine Learning & Data Science, Yaoundé, YaoundéOnline (CameroonThe Internet). ML and DS to fight the climate emergency.
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June 2021. Kietzmann Lab, Donders Institute for Brain Cognition and Behaviour, NijmegenOnline (NetherlandsThe Internet). Rethinking (un-, semi-, self-, ...)supervised learning: Insights from biological learning and from calling it by its name.
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November 2020. Machine Learning Research Group, University of Guelph, GuelphOnline (Ontario, CanadaThe Internet). Data augmentation and image understanding.
June 2020. Berlin Machine Learning Seminar, BerlinOnline (GermanyThe Internet). Learning robust visual representations using data augmentation invariance.
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March 2020. neuromatch 2020 1.0, Online (The Internet). Data augmentation invariance for learning robust visual representations. link
November 2019. Department of Brain and Cognitive Engineering, Korea University, Seoul (Republic of Korea). Data augmentation for improved regularization and invariance learning.
July 2019. Neural Information Processing Group, University of Tübingen, Tübingen (Germany). More than more data: undervalued advantages of data augmentation for deep learning and computational neuroscience. link
July 2019. Berlin Machine Learning Meetup, Berlin (Germany). Data augmentation: an alternative to explicit regularization and other undervalued advantages. link
June 2019. Cognitive Neuroscience Center, University Medical Center Groningen, Groningen (Netherlands). Data augmentation: undervalued advantages for deep learning and computational neuroscience.
February 2019. Neural Dynamics of Visual Cognition Lab, Freie Universität Berlin, Berlin (Germany). On the advantages of data augmentation for deep learning and computational neuroscience.
October 2018. Institute of Informatics and Telecommunications, NCSR Demokritos, Athens (Greece). Data augmentation as a biologically plausible alternative to explicit regularization in CNNs. link
May 2018. Group of Multimedia Processing, University Carlos III of Madrid, Madrid (Spain). Data augmentation instead of explicit regularization.
December 2017. Deep Learning Meetup, Berlin (Germany). Data augmentation instead of explicit regularization.
June, 2026. La IA consumirá en 2030 tanta agua como 1.300 millones de personas, El País. link
April, 2026. Grâce à l’IA, les prévisions météo canadiennes bondiront vers l’avenir, Le Devoir. link
March, 2026. Faux procès, vrais enjeux, UdeMNouvelles. link
January, 2026. Major funding for the discovery of new antibiotics, UdeMNouvelles. link
October, 2025. ¿Puede la IA ayudar a superar los retos de los cambios climáticos?, Radio Canada International. link
March, 2025. Alex Hernandez-Garcia, le professeur adepte de la science ouverte, de musique et des langues!, UdeMNouvelles. link
October, 2024. La inteligencia artificial multiplicará por 1.000 la basura electrónica esta década, El País. link
February, 2024. To ‘green’ AI, scientists are making it less resource-hungry, ScienceNewsExplores. link
August, 2023. Wie können KI-Modelle energiesparender werden? Ein Überblick über aktuelle Trends, te.ma. link
March, 2023. The dirty secret of artificial intelligence, El País. link
March, 2023. The Week in Green Software: How Green is Your Cloud?, Environment Variables (podcast). link
February, 2023. Artificial intelligence training is powered mostly by fossil fuels, New Scientist. link
November, 2022. Marta Pereira y Álex Hernández-García organizan el proyecto 'AI Helps Ukraine', Alumni UC3M. link
November, 2021. L’intelligence artificielle connaît une forte croissance à Montréal, Radio Canada. link
October, 2021. Using artificial intelligence to start a conversation about climate change, CBC. link
October, 2021. L'intelligence artificielle pour visualiser des phénomènes climatiques extrêmes, Radio Canada. link
October, 2021. Times Square bajo el agua o el Zócalo en llamas: así afectará el cambio climático a su calle, El País. link