Search Results - decoding ((algorithmics OR (algorithm OR algorithm)) OR (algorithm OR algorithmicsics))

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

Table of Contents: “… 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 by Adamiat, Sepideh, Kouw, Wouter M., de Vries, Bert

Table of Contents: “… 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 by Goel, Anmol, Ritter, Alan, Gurevych, Iryna

Table of Contents: “…: 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 by Fiorio, Luan Vinícius, Nikoloska, Ivana, Defraene, Bruno, Young, Alex, David, Johan, Aarts, Ronald M.

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

Table of Contents: “…, 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 by Wu, Shunlong, Lin, Hai, Chen, Shaoshen, Lu, Tingwei, Zeng, Yongqin, Zhan, Shaoxiong, Zheng, Hai-Tao, Kim, Hong-Gee

Table of Contents: “… 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 by Ringel, Liran, Ali, Ameen, Romano, Yaniv

Table of Contents: “… 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 by McNichols, Hunter, Scarlatos, Alexander, Dascalu, Mihai, McNamara, Danielle, Lan, Andrew

Table of Contents: “… 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 by Leopoldo Catania

Table of Contents: “… 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 by 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

Table of Contents: “… 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 by Qin, Zongyue, He, Zifan, Prakriya, Neha, Cong, Jason, Sun, Yizhou

Table of Contents: “…. 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 by Chen, Xuesong, Shi, Shaoshuai, Ma, Tao, Zhou, Jingqiu, See, Simon, Cheung, Ka Chun, Li, Hongsheng

Table of Contents: “…-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 by Dash, Adyasha, Zappoli, Giulia, Das, Laya, Riener, Robert

Table of Contents: “… 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 by Tran, Phuong, Liu, Tzu-Hao, Le, Long Tan, Nguyen, Tung-Anh, La, Van Quan, Yu, Eason, Shu, Han, Hong, Choong Seon, Tran, Nguyen H.

Table of Contents: “… 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 by Shen, Ethan, Fan, Alan, Pratt, Sarah M., Park, Jae Sung, Wallingford, Matthew, Kakade, Sham M., Holtzman, Ari, Krishna, Ranjay, Farhadi, Ali, Kusupati, Aditya

Table of Contents: “… 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 by 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

Table of Contents: “… 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 by Niggl, F. K. J.

Table of Contents: “… 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 by Karacora, Yasemin, Chaccour, Christina, Sezgin, Aydin, Saad, Walid

Table of Contents: “… 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 by Wang, Yuxi, Zhang, Wenjuan, Zhang, Bing

Table of Contents: “… 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 by Fernández-Menduiña, Samuel, Pavez, Eduardo, Ortega, Antonio

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