Suchergebnisse - decoding ((algorithm OR algorithmics) OR (algorithmics OR algorithmics))

Know Your Limits: Entropy Estimation Modeling for Compression and Generalization von Badger, Benjamin L., Neligeorge, Matthew

Inhaltsangabe: “… compression. The most efficient language compression algorithms today are causal (next token prediction) large …”
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A Spiking Neural Network Implementation of Gaussian Belief Propagation von Adamiat, Sepideh, Kouw, Wouter M., de Vries, Bert

Inhaltsangabe: “… these signals through a spiking neural network (SNN) and decoding the spike-based signal back to an outgoing …”
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Auditing Language Model Unlearning via Information Decomposition von Goel, Anmol, Ritter, Alan, Gurevych, Iryna

Inhaltsangabe: “… : despite the apparent success of unlearning algorithms, information about the forgotten data remains …”
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Physics-Guided Variational Model for Unsupervised Sound Source Tracking von Fiorio, Luan Vinícius, Nikoloska, Ivana, Defraene, Bruno, Young, Alex, David, Johan, Aarts, Ronald M.

Inhaltsangabe: “… Sound source tracking is commonly performed using classical array-processing algorithms, while …”
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SVD Contextual Sparsity Predictors for Fast LLM Inference von Serbin, Georgii, Koshkin, Kirill, Sun, Zhongao, Bistrigova, Anastasiya, Korikov, C. C.

Inhaltsangabe: “… , along with a threshold calibration algorithm, and inference executors supporting conditional computation …”
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SemantiCache: Efficient KV Cache Compression via Semantic Chunking and Clustered Merging von Wu, Shunlong, Lin, Hai, Chen, Shaoshen, Lu, Tingwei, Zeng, Yongqin, Zhan, Shaoxiong, Zheng, Hai-Tao, Kim, Hong-Gee

Inhaltsangabe: “… each chunk, we introduce a computationally efficient Greedy Seed-Based Clustering (GSC) algorithm …”
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Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models von Ringel, Liran, Ali, Ameen, Romano, Yaniv

Inhaltsangabe: “… in parallel. However, parallel decoding introduces a distributional mismatch: it approximates the joint …”
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Gumbel Machine: Counterfactual Student Writing Generation via Gumbel Noise Steering von McNichols, Hunter, Scarlatos, Alexander, Dascalu, Mihai, McNamara, Danielle, Lan, Andrew

Inhaltsangabe: “… to a reference factual text. Central to our approach is a novel, controlled decoding algorithm, $β …”
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Multiple Chains Markov Switching Vector Autoregression von Leopoldo Catania

Inhaltsangabe: “… more informative decoding of the latent states than the standard MS‐VAR model. The maximum likelihood …”
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MyoGestic: EMG Interfacing Framework for Decoding Multiple Spared Degrees of Freedom of the Hand in Individuals with Neural Lesions von Sîmpetru, Raul C., Braun, Dominik I., Simon, Arndt U., März, Michael, Cnejevici, Vlad, de Oliveira, Daniela Souza, Weber, Nico, Walter, Jonas, Franke, Jörg, Höglinger, Daniel, Prahm, Cosima, Ponfick, Matthias, Del Vecchio, Alessandro

Inhaltsangabe: “… movement . These signals can be decoded and used for motor intent estimation; however, current wearable …”
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Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference von Qin, Zongyue, He, Zifan, Prakriya, Neha, Cong, Jason, Sun, Yizhou

Inhaltsangabe: “… . Speculative decoding has emerged as a promising solution, leveraging a smaller auxiliary model to draft future …”
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M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving von Chen, Xuesong, Shi, Shaoshuai, Ma, Tao, Zhou, Jingqiu, See, Simon, Cheung, Ka Chun, Li, Hongsheng

Inhaltsangabe: “… -tasks. However, current algorithms typically tackle individual sub-tasks separately, which leads to low …”
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Muscle Anatomy-aware Geometric Deep Learning for sEMG-based Gesture Decoding von Dash, Adyasha, Zappoli, Giulia, Das, Laya, Riener, Robert

Inhaltsangabe: “… actively pursued by researchers and industry. Majority of sEMG-based gesture decoding algorithms employ …”
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GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge Inference von Tran, Phuong, Liu, Tzu-Hao, Le, Long Tan, Nguyen, Tung-Anh, La, Van Quan, Yu, Eason, Shu, Han, Hong, Choong Seon, Tran, Nguyen H.

Inhaltsangabe: “… speculative decoding and resource-constrained environments. Speculative decoding has emerged as a promising …”
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Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass von Shen, Ethan, Fan, Alan, Pratt, Sarah M., Park, Jae Sung, Wallingford, Matthew, Kakade, Sham M., Holtzman, Ari, Krishna, Ranjay, Farhadi, Ali, Kusupati, Aditya

Inhaltsangabe: “… the computation cost of running $k$ inference passes, we propose Superposed Decoding, a new decoding algorithm …”
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Quantum error correction below the surface code threshold von Acharya, Rajeev, Aghababaie-Beni, Laleh, Aleiner, Igor, Andersen, Trond I., Ansmann, Markus, Arute, Frank, Arya, Kunal, Asfaw, Abraham, Astrakhantsev, Nikita, Atalaya, Juan, Babbush, Ryan, Bacon, Dave, Ballard, Brian, Bardin, Joseph C., Bausch, Johannes, Bengtsson, Andreas, Bilmes, Alexander, Blackwell, Sam, Boixo, Sergio, Bortoli, Gina, Bourassa, Alexandre, Bovaird, Jenna, Brill, Leon, Broughton, Michael, Browne, David A., Buchea, Brett, Buckley, Bob B., Buell, David A., Burger, Tim, Burkett, Brian, Bushnell, Nicholas, Cabrera, Anthony, Campero, Juan, Chang, Hung-Shen, Chen, Yu, Chen, Zijun, Chiaro, Ben, Chik, Desmond, Chou, Charina, Claes, Jahan, Cleland, Agnetta Y., Cogan, Josh, Collins, Roberto, Conner, Paul, Courtney, William, Crook, Alexander L., Curtin, Ben, Das, Sayan, Davies, Alex, De Lorenzo, Laura, Debroy, Dripto M., Demura, Sean, Devoret, Michel, Di Paolo, Agustin, Donohoe, Paul, Drozdov, Ilya, Dunsworth, Andrew, Earle, Clint, Edlich, Thomas, Eickbusch, Alec, Elbag, Aviv Moshe, Elzouka, Mahmoud, Erickson, Catherine, Faoro, Lara, Farhi, Edward, Ferreira, Vinicius S., Burgos, Leslie Flores, Forati, Ebrahim, Fowler, Austin G., Foxen, Brooks, Ganjam, Suhas, Garcia, Gonzalo, Gasca, Robert, Genois, Élie, Giang, William, Gidney, Craig, Gilboa, Dar, Gosula, Raja, Dau, Alejandro Grajales, Graumann, Dietrich, Greene, Alex, Gross, Jonathan A., Habegger, Steve, Hall, John, Hamilton, Michael C., Hansen, Monica, Harrigan, Matthew P., Harrington, Sean D., Heras, Francisco J. H., Heslin, Stephen, Heu, Paula, Higgott, Oscar, Hill, Gordon, Hilton, Jeremy, Holland, George, Hong, Sabrina, Huang, Hsin-Yuan, Huff, Ashley, Huggins, William J., Ioffe, Lev B., Isakov, Sergei V., Iveland, Justin, Jeffrey, Evan, Jiang, Zhang, Jones, Cody, Jordan, Stephen, Joshi, Chaitali, Juhas, Pavol, Kafri, Dvir, Kang, Hui, Karamlou, Amir H., Kechedzhi, Kostyantyn, Kelly, Julian, Khaire, Trupti, Khattar, Tanuj, Khezri, Mostafa, Kim, Seon, Klimov, Paul V., Klots, Andrey R., Kobrin, Bryce, Kohli, Pushmeet, Korotkov, Alexander N., Kostritsa, Fedor, Kothari, Robin, Kozlovskii, Borislav, Kreikebaum, John Mark, Kurilovich, Vladislav D., Lacroix, Nathan, Landhuis, David, Lange-Dei, Tiano, Langley, Brandon W., Laptev, Pavel, Lau, Kim-Ming, Guevel, Loïck Le, Ledford, Justin, Lee, Kenny, Lensky, Yuri D., Leon, Shannon, Lester, Brian J., Li, Wing Yan, Li, Yin, Lill, Alexander T., Liu, Wayne, Livingston, William P., Locharla, Aditya, Lucero, Erik, Lundahl, Daniel, Lunt, Aaron, Madhuk, Sid, Malone, Fionn D., Maloney, Ashley, Mandrá, Salvatore, Martin, Leigh S., Martin, Steven, Martin, Orion, Maxfield, Cameron, McClean, Jarrod R., McEwen, Matt, Meeks, Seneca, Megrant, Anthony, Mi, Xiao, Miao, Kevin C., Mieszala, Amanda, Molavi, Reza, Molina, Sebastian, Montazeri, Shirin, Morvan, Alexis, Movassagh, Ramis, Mruczkiewicz, Wojciech, Naaman, Ofer, Neeley, Matthew, Neill, Charles, Nersisyan, Ani, Neven, Hartmut, Newman, Michael, Ng, Jiun How, Nguyen, Anthony, Nguyen, Murray, Ni, Chia-Hung, O'Brien, Thomas E., Oliver, William D., Opremcak, Alex, Ottosson, Kristoffer, Petukhov, Andre, Pizzuto, Alex, Platt, John, Potter, Rebecca, Pritchard, Orion, Pryadko, Leonid P., Quintana, Chris, Ramachandran, Ganesh, Reagor, Matthew J., Rhodes, David M., Roberts, Gabrielle, Rosenberg, Eliott, Rosenfeld, Emma, Roushan, Pedram, Rubin, Nicholas C., Saei, Negar, Sank, Daniel, Sankaragomathi, Kannan, Satzinger, Kevin J., Schurkus, Henry F., Schuster, Christopher, Senior, Andrew W., Shearn, Michael J., Shorter, Aaron, Shutty, Noah, Shvarts, Vladimir, Singh, Shraddha, Sivak, Volodymyr, Skruzny, Jindra, Small, Spencer, Smelyanskiy, Vadim, Smith, W. Clarke, Somma, Rolando D., Springer, Sofia, Sterling, George, Strain, Doug, Suchard, Jordan, Szasz, Aaron, Sztein, Alex, Thor, Douglas, Torres, Alfredo, Torunbalci, M. Mert, Vaishnav, Abeer, Vargas, Justin, Vdovichev, Sergey, Vidal, Guifre, Villalonga, Benjamin, Heidweiller, Catherine Vollgraff, Waltman, Steven, Wang, Shannon X., Ware, Brayden, Weber, Kate, White, Theodore, Wong, Kristi, Woo, Bryan W. K., Xing, Cheng, Yao, Z. Jamie, Yeh, Ping, Ying, Bicheng, Yoo, Juhwan, Yosri, Noureldin, Young, Grayson, Zalcman, Adam, Zhang, Yaxing, Zhu, Ningfeng, Zobrist, Nicholas

Inhaltsangabe: “… distance-7 code and a distance-5 code integrated with a real-time decoder. The logical error rate of our …”
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Structure-preserving model reduction of Hamiltonian systems by learning a symplectic autoencoder von Niggl, F. K. J.

Inhaltsangabe: “… a nonlinear approach based on the construction of an encoder-decoder pair that minimizes …”
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Event-Based Framework for Agile Resilience in Criticality-Aware Wireless Networks von Karacora, Yasemin, Chaccour, Christina, Sezgin, Aydin, Saad, Walid

Inhaltsangabe: “… cooperation and central decoding, which are integrated into an event-driven algorithm. Here, increasingly …”
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Cloud Removal With PolSAR-Optical Data Fusion Using A Two-Flow Residual Network von Wang, Yuxi, Zhang, Wenjuan, Zhang, Bing

Inhaltsangabe: “… Polarimetric Synthetic Aperture Radar (PolSAR)-Optical data fusion cloud removal algorithm (PODF-CR), which …”
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Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization von Fernández-Menduiña, Samuel, Pavez, Eduardo, Ortega, Antonio

Inhaltsangabe: “… Many images and videos are primarily processed by computer vision algorithms, involving only …”
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