• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 209 matches

• 2024
• 
  Aslain Brisco Ngnassi Djami, Martin Ndibi Mbozo'O, Joseph Nkongho Anyi, Wolfgang Nzié, Guy Edgar Ntamack:
  Multi-Objective Optimization of Cutting Parameters in Hard Turning Using the NSGA-II Algorithm. Oper. Res. Forum 5(4): 86 (2024)
• 
  Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio:
  Improving and generalizing flow-based generative models with minibatch optimal transport. Trans. Mach. Learn. Res. 2024 (2024)
• 
  Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf:
  Learnable Filters for Geometric Scattering Modules. IEEE Trans. Signal Process. 72: 2939-2952 (2024)
• 
  Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi:
  Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. AAAI 2024: 6639-6647
• 
  Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio:
  Simulation-Free Schrödinger Bridges via Score and Flow Matching. AISTATS 2024: 1279-1287
• 
  Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy:
  Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CISS 2024: 1-6
• 
  Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
  Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024
• 
  Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek:
  Graph Positional and Structural Encoder. ICML 2024
• 
  Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf:
  Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis. ICML 2024
• 
  Chenqing Hua, Connor W. Coley, Guy Wolf, Doina Precup, Shuangjia Zheng:
  Effective Protein-Protein Interaction Exploration with PPIretrieval. CoRR abs/2402.03675 (2024)
• 
  Pedro Vianna, Muawiz Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky:
  Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation. CoRR abs/2402.04958 (2024)
• 
  Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini:
  AdaFisher: Adaptive Second Order Optimization via Fisher Information. CoRR abs/2405.16397 (2024)
• 
  Frederik Wenkel, Semih Cantürk, Michael Perlmutter, Guy Wolf:
  Towards a General GNN Framework for Combinatorial Optimization. CoRR abs/2405.20543 (2024)
• 
  Haozhe Chen, Andres Felipe Duque Correa, Guy Wolf, Kevin R. Moon:
  Noisy Data Visualization using Functional Data Analysis. CoRR abs/2406.03396 (2024)
• 
  Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes:
  Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension. CoRR abs/2406.04421 (2024)
• 
  Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf:
  Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis. CoRR abs/2407.05385 (2024)
• 
  Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka:
  The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR abs/2407.09618 (2024)
• 
  Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng:
  Reactzyme: A Benchmark for Enzyme-Reaction Prediction. CoRR abs/2408.13659 (2024)
• 
  Sitao Luan, Qincheng Lu, Chenqing Hua, Xinyu Wang, Jiaqi Zhu, Xiao-Wen Chang, Guy Wolf, Jian Tang:
  Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks. CoRR abs/2409.05755 (2024)
• 
  Chenqing Hua, Yong Liu, Dinghuai Zhang, Odin Zhang, Sitao Luan, Kevin K. Yang, Guy Wolf, Doina Precup, Shuangjia Zheng:
  EnzymeFlow: Generating Reaction-specific Enzyme Catalytic Pockets through Flow Matching and Co-Evolutionary Dynamics. CoRR abs/2410.00327 (2024)
• 2023
• 
  Erica L. Busch, Jessie Huang, Andrew Benz, Tom Wallenstein, Guillaume Lajoie, Guy Wolf, Smita Krishnaswamy, Nicholas B. Turk-Browne:
  Multi-view manifold learning of human brain-state trajectories. Nat. Comput. Sci. 3(3): 240-253 (2023)
• 
  Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon:
  Geometry Regularized Autoencoders. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7381-7394 (2023)
• 
  Guillaume Huguet, Alexander Tong, Bastian Rieck, Jessie Huang, Manik Kuchroo, Matthew J. Hirn, Guy Wolf, Smita Krishnaswamy:
  Time-Inhomogeneous Diffusion Geometry and Topology. SIAM J. Math. Data Sci. 5(2): 346-372 (2023)
• 
  Michael Perlmutter, Alexander Tong, Feng Gao, Guy Wolf, Matthew J. Hirn:
  Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms. SIAM J. Math. Data Sci. 5(4): 873-898 (2023)
• 
  Guido C. H. E. de Croon, Wolfgang Hönig, Guy Theraulaz, G. Vásárhelyi:
  Cross-disciplinary approaches for designing intelligent swarms of drones. Swarm Intell. 17(1-2): 1-4 (2023)
• 
  Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen:
  Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. IEEE Trans. Signal Process. 71: 202-217 (2023)
• 
  Mostafa ElAraby, Guy Wolf, Margarida Carvalho:
  OAMIP: Optimizing ANN Architectures Using Mixed-Integer Programming. CPAIOR 2023: 219-237
• 
  MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky:
  Reliability of CKA as a Similarity Measure in Deep Learning. ICLR 2023
• 
  Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy:
  Neural FIM for learning Fisher information metrics from point cloud data. ICML 2023: 9814-9826
• 
  Andrés F. Duque, Guy Wolf, Kevin R. Moon:
  Diffusion Transport Alignment. IDA 2023: 116-129

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