Interpreting Graph Neural Networks with Myerson Values for Cheminformatics Approaches

Homberg, Samuel K.R.; Modlich, Malte L.; Becker, Marlon; Menke, Janosch; Morris, Garrett M.; Risse, Benjamin; Koch, Oliver (2025)

In: Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, Yoshua Bengio (Hrsg.), Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions. LNCS 16072: .

Abstract in Sammelband (Konferenz)

Accelerating Finite-Difference Frequency-Domain Simulations for Inverse Design Problems in Nanophotonics using Deep Learning

Schulte L; Butz M; Becker M; Risse B; Schuck C (2024)

In: Journal of the Optical Society of America B, 41(4).

Forschungsartikel (Zeitschrift)

Probabilistic photonic computing with chaotic light

Brückerhoff-Plückelmann F; Borras H; Klein B; Varri A; Becker M; Dijkstra J; Brückerhoff M; Wright CD; Salinga M; Bhaskaran H; Risse B; Fröning H; Pernice W (2024)

In: Nature Communications, 15(1).

Forschungsartikel (Zeitschrift)

Learned Random Label Predictions as a Neural Network Complexity Metric

Becker, Marlon; Risse, Benjamin (2024)

In: Workshop on Scientific Methods for Understanding Deep Learning @NeurIPS , Vancouver, Kanada. OpenReview.

Forschungsartikel in Online-Sammlung (Konferenz)

A Universal Approach to Nanophotonic Inverse Design through Reinforcement Learning

Butz M; Leifhelm A; Becker M; Risse B; Schuck C (2023)

In: Optica Publishing Group (Hrsg.), CLEO 2023, paper STh4G.3. San Jose: .

Forschungsartikel in Sammelband (Konferenz)

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Interpreting Graph Neural Networks with Myerson Values for Cheminformatics Approaches Homberg, Samuel K.R.; Modlich, Malte L.; Becker, Marlon; Menke, Janosch; Morris, Garrett M.; Risse, Benjamin; Koch, Oliver (2025) In: Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, Yoshua Bengio (Hrsg.), Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions. LNCS 16072: . Abstract in Sammelband (Konferenz)
Activation Functions in Non-Negative Neural Networks Becker M; Drees D; Brückerhoff-Plückelmann F; Schuck C; Pernice W; Risse B (2025) In: IEEE Access Forschungsartikel in Online-Sammlung
Accelerating Finite-Difference Frequency-Domain Simulations for Inverse Design Problems in Nanophotonics using Deep Learning Schulte L; Butz M; Becker M; Risse B; Schuck C (2024) In: Journal of the Optical Society of America B, 41(4). Forschungsartikel (Zeitschrift)
Critical nonlinear aspects of hopping transport for reconfigurable logic in disordered dopant networks Tertilt, Henri; Mensing, Jonas; Becker, Marlon; van der Wiel, Wilfred G.; Bobbert, Peter A.; Heuer, Andreas (2024) In: Physical Review Applied, 22(2). Forschungsartikel (Zeitschrift)
Probabilistic photonic computing with chaotic light Brückerhoff-Plückelmann F; Borras H; Klein B; Varri A; Becker M; Dijkstra J; Brückerhoff M; Wright CD; Salinga M; Bhaskaran H; Risse B; Fröning H; Pernice W (2024) In: Nature Communications, 15(1). Forschungsartikel (Zeitschrift)
Learning Proposal Distributions in Simulated Annealing via Template Networks: A Case Study in Nanophotonic Inverse Design. Becker, Marlon; Butz, Marco; Lemli, David; Schuck, Carsten; Risse, Benjamin (2024) In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.), Pattern Recognition. Kolkata, India: . Forschungsartikel (Buchbeitrag)
Learned Random Label Predictions as a Neural Network Complexity Metric Becker, Marlon; Risse, Benjamin (2024) In: Workshop on Scientific Methods for Understanding Deep Learning @NeurIPS , Vancouver, Kanada. OpenReview. Forschungsartikel in Online-Sammlung (Konferenz)
Coherent dimension reduction with integrated photonic circuits exploiting tailored disorder Wendland D; Becker M; Brückerhoff-Plückelmann F; Bente I; Busch K; Risse B; Pernice WH (2023) In: Journal of the Optical Society of America B, 40(3). Forschungsartikel (Zeitschrift)
A Universal Approach to Nanophotonic Inverse Design through Reinforcement Learning Butz M; Leifhelm A; Becker M; Risse B; Schuck C (2023) In: Optica Publishing Group (Hrsg.), CLEO 2023, paper STh4G.3. San Jose: . Forschungsartikel in Sammelband (Konferenz)
A Novel Approach to Nanophotonic Black-Box Optimization Through Reinforcement Learning Butz, Marco; Leifhelm, Alexander; Becker, Marlon; Risse, Benjamin; Schuck, Carsten (2023) In: DPG (Hrsg.), Q 30 Nano-optics. Hannover: . Forschungsartikel in Sammelband (Konferenz)