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Becker, Marlon Marijn

Show 1 to 10 of 20 results

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 (eds.), Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 232-234. LNCS 16072: . Abstract in edited proceedings (conference) \| Peer reviewed \| Published
Activation Functions in Non-Negative Neural Networks Becker M; Drees D; Brückerhoff-Plückelmann F; Schuck C; Pernice W; Risse B (2025) In: IEEE Access Research article in digital collection \| Peer reviewed \| Published
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Becker, Marlon; Altrock, Frederick; Risse, Benjamin (2025) In: Belgrave, Danielle; Zhang, Cheng; Montoya, Laura; Lin, Hsuan-Tien; Pascanu, Razvan; Koniusz, Piotr; Ghassemi, Marzyeh; Chen, Nancy (eds.), Advances in Neural Information Processing Systems 39 (NeurIPS 2025). NeurIPS.cc:117459. Research article in digital collection (conference) \| Peer reviewed \| Published
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), 1039-1046. doi:10.1364/JOSAB.506159 Research article (journal) \| Peer reviewed \| Published
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). doi:10.1103/PhysRevApplied.22.024063 Research article (journal) \| Peer reviewed \| Published
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), 10445-10445. \| Peer reviewed
Learning Proposal Distributions in Simulated Annealing via Template Networks: A Case Study in Nanophotonic Inverse Design. In: (eds.), , -. \| Peer reviewed
Learned Random Label Predictions as a Neural Network Complexity Metric In: . . \| Peer reviewed
Coherent dimension reduction with integrated photonic circuits exploiting tailored disorder In: , -. \| Peer reviewed
A Universal Approach to Nanophotonic Inverse Design through Reinforcement Learning In: (eds.), , -.

doi:10.1038/s41467-024-54931-6

Research article (journal)

| Published

Becker, Marlon; Butz, Marco; Lemli, David; Schuck, Carsten; Risse, Benjamin

(2024)

Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal

Pattern Recognition

188

202

Kolkata, India:

Research article (book contribution)

| Published

Becker, Marlon; Risse, Benjamin

(2024)

Workshop on Scientific Methods for Understanding Deep Learning @NeurIPS

, Vancouver

, Canada

OpenReview

Research article in digital collection (conference)

| Published

Wendland D; Becker M; Brückerhoff-Plückelmann F; Bente I; Busch K; Risse B; Pernice WH

(2023)

Journal of the Optical Society of America B

, 40

(3)

B35

B40

Research article (journal)

| Published

Butz M; Leifhelm A; Becker M; Risse B; Schuck C

(2023)

Optica Publishing Group

CLEO 2023, paper STh4G.3

STh4G.3

San Jose:

Research article in edited proceedings (conference)

| Published

Springer Nature

doi:10.1007/978-3-032-04552-2

Springer. doi:10.1007/978-3-031-78186-5_13

Optica. doi:10.1364/CLEO_SI.2023.STh4G.3

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 (eds.), Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 232-234. LNCS 16072: . Abstract in edited proceedings (conference) \| Peer reviewed \| Published
Activation Functions in Non-Negative Neural Networks Becker M; Drees D; Brückerhoff-Plückelmann F; Schuck C; Pernice W; Risse B (2025) In: IEEE Access Research article in digital collection \| Peer reviewed \| Published
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Becker, Marlon; Altrock, Frederick; Risse, Benjamin (2025) In: Belgrave, Danielle; Zhang, Cheng; Montoya, Laura; Lin, Hsuan-Tien; Pascanu, Razvan; Koniusz, Piotr; Ghassemi, Marzyeh; Chen, Nancy (eds.), Advances in Neural Information Processing Systems 39 (NeurIPS 2025). NeurIPS.cc:117459. Research article in digital collection (conference) \| Peer reviewed \| Published
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), 1039-1046. doi:10.1364/JOSAB.506159 Research article (journal) \| Peer reviewed \| Published
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). doi:10.1103/PhysRevApplied.22.024063 Research article (journal) \| Peer reviewed \| Published
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), 10445-10445. \| Peer reviewed
Learning Proposal Distributions in Simulated Annealing via Template Networks: A Case Study in Nanophotonic Inverse Design. In: (eds.), , -. \| Peer reviewed
Learned Random Label Predictions as a Neural Network Complexity Metric In: . . \| Peer reviewed
Coherent dimension reduction with integrated photonic circuits exploiting tailored disorder In: , -. \| Peer reviewed
A Universal Approach to Nanophotonic Inverse Design through Reinforcement Learning In: (eds.), , -.